Senior Engineering Manager jobs at Top Gun Mortgage Inc

Our Corporate IT Organization is driving the adoption of innovation across Eaton! In the role of Director of AI Engineering for Corporate IT, the individual will manage the development and execution of the enterprise AI strategy, roadmap, and investment priorities, ensuring alignment with the broader organizational objectives. They will lead the creation and implementation of a comprehensive AI strategy that supports the company's vision and goals. Responsibilities include researching emerging AI technologies, assessing their business implications, and advising on strategic investments. They will establish a framework and strategy for the deployment and governance of artificial intelligence and generative AI within the enterprise, including creating a centralized function and guidelines to support business initiatives, and enhancing data science efforts across various domains to foster growth, efficiency, and risk management in line with key corporate priorities. **Key Responsibilities:** **Strategic Leadership** + Define and execute Eaton's AI strategy for manufacturing, aligning with corporate goals and plant-level priorities. + Partner with operations, engineering, and supply chain leaders to identify high-impact AI opportunities across production, logistics, and maintenance. + Lead the adoption of generative AI, computer vision, predictive maintenance, and intelligent automation to optimize manufacturing processes. **AI Engineering & Delivery** + Build and lead a high-performing AI engineering team focused on scalable, production-grade solutions for industrial environments. + Oversee the full AI/ML lifecycle: data ingestion from OT/IT systems, model development, deployment to edge/cloud, and performance monitoring. + Champion MLOps best practices and cloud-native architectures (e.g., Azure ML, AWS SageMaker, Databricks) tailored for manufacturing use cases. **Governance & Risk Management** + Establish enterprise-wide AI governance, including ethical use, compliance with industrial standards, and risk mitigation. + Develop policies and frameworks for responsible AI, model transparency, and bias mitigation in safety-critical environments. **Innovation & Enablement** + Evaluate emerging AI technologies and vendor partnerships to inform build-vs-buy decisions for manufacturing applications. + Drive enterprise-wide education and change management to foster AI literacy and adoption across plants and engineering teams. + Represent AI initiatives to executive leadership and the Board, articulating impact on productivity, quality, and cost savings. **Qualifications:** **Basic Qualifications** + Bachelor's degree in Engineering and/or Computer Science from an accredited instituition. + Minimum 10 years of experience in engineering or technology leadership, with a focus on AI, data science, or digital transformation. + Minimum 2 years of enterprise IT leadership experience defining and executing AI strategies for a multi-billion-dollar industrial organization. + Must be authorized to work in the U.S. without company sponsorship. **Preferred Qualifications** + Proven success delivering AI-powered solutions at scale in manufacturing or industrial environments. + Experience with AI applications such as predictive maintenance, defect detection, process optimization, and supply chain analytics. + Deep understanding of AI/ML frameworks (e.g., PyTorch, TensorFlow), industrial data platforms (e.g., OSIsoft PI, Snowflake), and programming languages (Python, SQL). + Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines) and edge deployment strategies. + Strong track record of influencing senior stakeholders and driving enterprise-wide transformation in manufacturing settings. At Eaton, we strive to provide compensation and benefits that attract, engage, and retain the best talent. This includes competitive pay and a variety of benefit programs for eligible employees. The expected annual salary range for this role is $200,000- $280,000 a year. This role is also eligible for a variable incentive program. _Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations._ We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws. You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at ************** to discuss your specific need. Only accommodation requests will be accepted by this phone number. We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here (********************************************* for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Our Corporate IT Organization is driving the adoption of innovation across Eaton! In the role of Director of AI Engineering for Corporate IT, the individual will manage the development and execution of the enterprise AI strategy, roadmap, and investment priorities, ensuring alignment with the broader organizational objectives. They will lead the creation and implementation of a comprehensive AI strategy that supports the company's vision and goals. Responsibilities include researching emerging AI technologies, assessing their business implications, and advising on strategic investments. They will establish a framework and strategy for the deployment and governance of artificial intelligence and generative AI within the enterprise, including creating a centralized function and guidelines to support business initiatives, and enhancing data science efforts across various domains to foster growth, efficiency, and risk management in line with key corporate priorities. Key Responsibilities: Strategic Leadership * Define and execute Eaton's AI strategy for manufacturing, aligning with corporate goals and plant-level priorities. * Partner with operations, engineering, and supply chain leaders to identify high-impact AI opportunities across production, logistics, and maintenance. * Lead the adoption of generative AI, computer vision, predictive maintenance, and intelligent automation to optimize manufacturing processes. AI Engineering & Delivery * Build and lead a high-performing AI engineering team focused on scalable, production-grade solutions for industrial environments. * Oversee the full AI/ML lifecycle: data ingestion from OT/IT systems, model development, deployment to edge/cloud, and performance monitoring. * Champion MLOps best practices and cloud-native architectures (e.g., Azure ML, AWS SageMaker, Databricks) tailored for manufacturing use cases. Governance & Risk Management * Establish enterprise-wide AI governance, including ethical use, compliance with industrial standards, and risk mitigation. * Develop policies and frameworks for responsible AI, model transparency, and bias mitigation in safety-critical environments. Innovation & Enablement * Evaluate emerging AI technologies and vendor partnerships to inform build-vs-buy decisions for manufacturing applications. * Drive enterprise-wide education and change management to foster AI literacy and adoption across plants and engineering teams. * Represent AI initiatives to executive leadership and the Board, articulating impact on productivity, quality, and cost savings. Qualifications: Basic Qualifications * Bachelor's degree in Engineering and/or Computer Science from an accredited instituition. * Minimum 10 years of experience in engineering or technology leadership, with a focus on AI, data science, or digital transformation. * Minimum 2 years of enterprise IT leadership experience defining and executing AI strategies for a multi-billion-dollar industrial organization. * Must be authorized to work in the U.S. without company sponsorship. Preferred Qualifications * Proven success delivering AI-powered solutions at scale in manufacturing or industrial environments. * Experience with AI applications such as predictive maintenance, defect detection, process optimization, and supply chain analytics. * Deep understanding of AI/ML frameworks (e.g., PyTorch, TensorFlow), industrial data platforms (e.g., OSIsoft PI, Snowflake), and programming languages (Python, SQL). * Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines) and edge deployment strategies. * Strong track record of influencing senior stakeholders and driving enterprise-wide transformation in manufacturing settings. At Eaton, we strive to provide compensation and benefits that attract, engage, and retain the best talent. This includes competitive pay and a variety of benefit programs for eligible employees. The expected annual salary range for this role is $200,000- $280,000 a year. This role is also eligible for a variable incentive program. Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws. You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at ************** to discuss your specific need. Only accommodation requests will be accepted by this phone number. We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Our Corporate IT Organization is driving the adoption of innovation across Eaton! In the role of Director of AI Engineering for Corporate IT, the individual will manage the development and execution of the enterprise AI strategy, roadmap, and investment priorities, ensuring alignment with the broader organizational objectives. They will lead the creation and implementation of a comprehensive AI strategy that supports the company's vision and goals. Responsibilities include researching emerging AI technologies, assessing their business implications, and advising on strategic investments. They will establish a framework and strategy for the deployment and governance of artificial intelligence and generative AI within the enterprise, including creating a centralized function and guidelines to support business initiatives, and enhancing data science efforts across various domains to foster growth, efficiency, and risk management in line with key corporate priorities. Key Responsibilities: Strategic Leadership * Define and execute Eaton's AI strategy for manufacturing, aligning with corporate goals and plant-level priorities. * Partner with operations, engineering, and supply chain leaders to identify high-impact AI opportunities across production, logistics, and maintenance. * Lead the adoption of generative AI, computer vision, predictive maintenance, and intelligent automation to optimize manufacturing processes. AI Engineering & Delivery * Build and lead a high-performing AI engineering team focused on scalable, production-grade solutions for industrial environments. * Oversee the full AI/ML lifecycle: data ingestion from OT/IT systems, model development, deployment to edge/cloud, and performance monitoring. * Champion MLOps best practices and cloud-native architectures (e.g., Azure ML, AWS SageMaker, Databricks) tailored for manufacturing use cases. Governance & Risk Management * Establish enterprise-wide AI governance, including ethical use, compliance with industrial standards, and risk mitigation. * Develop policies and frameworks for responsible AI, model transparency, and bias mitigation in safety-critical environments. Innovation & Enablement * Evaluate emerging AI technologies and vendor partnerships to inform build-vs-buy decisions for manufacturing applications. * Drive enterprise-wide education and change management to foster AI literacy and adoption across plants and engineering teams. * Represent AI initiatives to executive leadership and the Board, articulating impact on productivity, quality, and cost savings. Qualifications: Basic Qualifications * Bachelor's degree in Engineering and/or Computer Science from an accredited instituition. * Minimum 10 years of experience in engineering or technology leadership, with a focus on AI, data science, or digital transformation. * Minimum 2 years of enterprise IT leadership experience defining and executing AI strategies for a multi-billion-dollar industrial organization. * Must be authorized to work in the U.S. without company sponsorship. Preferred Qualifications * Proven success delivering AI-powered solutions at scale in manufacturing or industrial environments. * Experience with AI applications such as predictive maintenance, defect detection, process optimization, and supply chain analytics. * Deep understanding of AI/ML frameworks (e.g., PyTorch, TensorFlow), industrial data platforms (e.g., OSIsoft PI, Snowflake), and programming languages (Python, SQL). * Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines) and edge deployment strategies. * Strong track record of influencing senior stakeholders and driving enterprise-wide transformation in manufacturing settings. At Eaton, we strive to provide compensation and benefits that attract, engage, and retain the best talent. This includes competitive pay and a variety of benefit programs for eligible employees. The expected annual salary range for this role is $200,000- $280,000 a year. This role is also eligible for a variable incentive program. Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws. You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at ************** to discuss your specific need. Only accommodation requests will be accepted by this phone number. We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Our Corporate IT Organization is driving the adoption of innovation across Eaton! In the role of Director of AI Engineering for Corporate IT, the individual will manage the development and execution of the enterprise AI strategy, roadmap, and investment priorities, ensuring alignment with the broader organizational objectives. They will lead the creation and implementation of a comprehensive AI strategy that supports the company's vision and goals. Responsibilities include researching emerging AI technologies, assessing their business implications, and advising on strategic investments. They will establish a framework and strategy for the deployment and governance of artificial intelligence and generative AI within the enterprise, including creating a centralized function and guidelines to support business initiatives, and enhancing data science efforts across various domains to foster growth, efficiency, and risk management in line with key corporate priorities. **Key Responsibilities:** **Strategic Leadership** + Define and execute Eaton's AI strategy for manufacturing, aligning with corporate goals and plant-level priorities. + Partner with operations, engineering, and supply chain leaders to identify high-impact AI opportunities across production, logistics, and maintenance. + Lead the adoption of generative AI, computer vision, predictive maintenance, and intelligent automation to optimize manufacturing processes. **AI Engineering & Delivery** + Build and lead a high-performing AI engineering team focused on scalable, production-grade solutions for industrial environments. + Oversee the full AI/ML lifecycle: data ingestion from OT/IT systems, model development, deployment to edge/cloud, and performance monitoring. + Champion MLOps best practices and cloud-native architectures (e.g., Azure ML, AWS SageMaker, Databricks) tailored for manufacturing use cases. **Governance & Risk Management** + Establish enterprise-wide AI governance, including ethical use, compliance with industrial standards, and risk mitigation. + Develop policies and frameworks for responsible AI, model transparency, and bias mitigation in safety-critical environments. **Innovation & Enablement** + Evaluate emerging AI technologies and vendor partnerships to inform build-vs-buy decisions for manufacturing applications. + Drive enterprise-wide education and change management to foster AI literacy and adoption across plants and engineering teams. + Represent AI initiatives to executive leadership and the Board, articulating impact on productivity, quality, and cost savings. **Qualifications:** **Basic Qualifications** + Bachelor's degree in Engineering and/or Computer Science from an accredited instituition. + Minimum 10 years of experience in engineering or technology leadership, with a focus on AI, data science, or digital transformation. + Minimum 2 years of enterprise IT leadership experience defining and executing AI strategies for a multi-billion-dollar industrial organization. + Must be authorized to work in the U.S. without company sponsorship. **Preferred Qualifications** + Proven success delivering AI-powered solutions at scale in manufacturing or industrial environments. + Experience with AI applications such as predictive maintenance, defect detection, process optimization, and supply chain analytics. + Deep understanding of AI/ML frameworks (e.g., PyTorch, TensorFlow), industrial data platforms (e.g., OSIsoft PI, Snowflake), and programming languages (Python, SQL). + Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines) and edge deployment strategies. + Strong track record of influencing senior stakeholders and driving enterprise-wide transformation in manufacturing settings. At Eaton, we strive to provide compensation and benefits that attract, engage, and retain the best talent. This includes competitive pay and a variety of benefit programs for eligible employees. The expected annual salary range for this role is $200,000- $280,000 a year. This role is also eligible for a variable incentive program. _Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations._ We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws. You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at ************** to discuss your specific need. Only accommodation requests will be accepted by this phone number. We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here (********************************************* for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

External Description: The Director of Site Reliability Engineering (SRE) is a strategic leadership role responsible for ensuring the reliability, scalability, and performance of T. Rowe Price's global technology infrastructure & services. This position involves leading a team of skilled engineers to ensure the continuous availability and optimal performance of systems and services, while driving innovation and efficiency in operations. This position plays a critical role in ensuring overall resilience and efficiency of T. Rowe Price's technology infrastructure, contributing to the organization's success and growth. This position offers an exciting opportunity to lead dynamic teams and drive impactful change in a fast-paced environment. Responsibilities Leadership and Strategy: Develop and execute overall strategy for site reliability engineering and observability for the enterprise. Lead SRE and observability teams to ensure alignment with organizational goals and objectives. Establish proactive approach to service reliability that drives reduction in downtime for critical platforms and services. Lead, mentor, and grow a high-performing team of site reliability engineers, fostering a culture of collaboration, innovation, and continuous improvement. Collaborate with cross-functional teams, including software development, IT operations, architecture, security, and product management, to ensure seamless integration and delivery of services. Reliability and Performance: Oversee the design, implementation, and maintenance of systems and processes that ensure high availability, reliability, and performance of services. Establish and monitor key performance indicators (KPIs) and service level objectives (SLOs) to measure and improve system reliability. Proactively identify and mitigate risks to system reliability, including capacity planning, incident management, and disaster recovery. Lead cross-functional efforts spanning development, engineering, architecture, and operations to identify root cause of instability and drive short/long term improvements. Automation and Efficiency: Drive the adoption of automation tools and practices to enhance operational efficiency and reduce manual intervention. Implement and refine processes for continuous integration and continuous deployment (CI/CD) to accelerate delivery, improve developer experience and minimize downtime. Promote the use of infrastructure as code (IaC) and other modern practices to streamline operations and improve scalability. Innovation and Improvement: Stay abreast of industry trends and emerging technologies to identify opportunities for innovation and improvement. Lead initiatives to optimize system architecture and infrastructure, ensuring scalability and adaptability to future needs. Foster a culture of experimentation and learning, encouraging the team to explore new solutions and approaches. Communication and Collaboration: Serve as a key point of contact for stakeholders, providing regular updates on system reliability and performance. Facilitate effective communication and collaboration between the SRE team and other departments to ensure alignment and shared understanding. Advocate for best practices in site reliability engineering across the organization. Qualifications Required: Bachelor's or Master's degree (or the equivalent combination of education and relevant experience and 12+ years in site reliability engineering, cloud engineering, software development, and/or IT operations, with 5+ years of demonstrated technical leadership and team management. Established success implementing and scaling DevOps practices, tools, and frameworks. (i.e. IaC, CI/CD, Agile) Expertise of cloud computing, distributed systems, and modern infrastructure technologies. Proven experience deploying / supporting cloud platforms at scale (AWS, Azure, GCP). Extensive experience deploying observability platforms (i.e Dynatrace, Grafana, Splunk, Dynatrace, OpenTelemetry). Excellent problem-solving skills and the ability to make data-driven decisions. Exceptional communication and interpersonal skills, with the ability to influence and collaborate effectively across teams. Preferred: Demonstrated expertise in financial services, specifically investment management Certifications: SRECP, CRP FINRA Requirements FINRA licenses are not required and will not be supported for this role. Work Flexibility This role is eligible for hybrid work, with up to three days per week from home. City: State: Community / Marketing Title: Director of Site Reliability Engineering (SRE) Company Profile: Location_formattedLocationLong: Maryland, US CountryEEOText_Description: Commitment to Diversity, Equity, and Inclusion: We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day. Benefits: We invest in our people through a wide range of programs and benefits, including: • Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions • Flexible and remote work opportunities • Health care benefits (medical, dental, vision) • Tuition assistance • Wellness programs (fitness reimbursement, Employee Assistance Program) Our policies may change as our working lives evolve. Yet, our commitment to supporting our associates' well-being and addressing the needs of our clients, business, and communities is unwavering. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.

External Description: The Director of Site Reliability Engineering (SRE) is a strategic leadership role responsible for ensuring the reliability, scalability, and performance of T. Rowe Price's global technology infrastructure & services. This position involves leading a team of skilled engineers to ensure the continuous availability and optimal performance of systems and services, while driving innovation and efficiency in operations. This position plays a critical role in ensuring overall resilience and efficiency of T. Rowe Price's technology infrastructure, contributing to the organization's success and growth. This position offers an exciting opportunity to lead dynamic teams and drive impactful change in a fast-paced environment. Responsibilities Leadership and Strategy: Develop and execute overall strategy for site reliability engineering and observability for the enterprise. Lead SRE and observability teams to ensure alignment with organizational goals and objectives. Establish proactive approach to service reliability that drives reduction in downtime for critical platforms and services. Lead, mentor, and grow a high-performing team of site reliability engineers, fostering a culture of collaboration, innovation, and continuous improvement. Collaborate with cross-functional teams, including software development, IT operations, architecture, security, and product management, to ensure seamless integration and delivery of services. Reliability and Performance: Oversee the design, implementation, and maintenance of systems and processes that ensure high availability, reliability, and performance of services. Establish and monitor key performance indicators (KPIs) and service level objectives (SLOs) to measure and improve system reliability. Proactively identify and mitigate risks to system reliability, including capacity planning, incident management, and disaster recovery. Lead cross-functional efforts spanning development, engineering, architecture, and operations to identify root cause of instability and drive short/long term improvements. Automation and Efficiency: Drive the adoption of automation tools and practices to enhance operational efficiency and reduce manual intervention. Implement and refine processes for continuous integration and continuous deployment (CI/CD) to accelerate delivery, improve developer experience and minimize downtime. Promote the use of infrastructure as code (IaC) and other modern practices to streamline operations and improve scalability. Innovation and Improvement: Stay abreast of industry trends and emerging technologies to identify opportunities for innovation and improvement. Lead initiatives to optimize system architecture and infrastructure, ensuring scalability and adaptability to future needs. Foster a culture of experimentation and learning, encouraging the team to explore new solutions and approaches. Communication and Collaboration: Serve as a key point of contact for stakeholders, providing regular updates on system reliability and performance. Facilitate effective communication and collaboration between the SRE team and other departments to ensure alignment and shared understanding. Advocate for best practices in site reliability engineering across the organization. Qualifications Required: Bachelor's or Master's degree (or the equivalent combination of education and relevant experience and 12+ years in site reliability engineering, cloud engineering, software development, and/or IT operations, with 5+ years of demonstrated technical leadership and team management. Established success implementing and scaling DevOps practices, tools, and frameworks. (i.e. IaC, CI/CD, Agile) Expertise of cloud computing, distributed systems, and modern infrastructure technologies. Proven experience deploying / supporting cloud platforms at scale (AWS, Azure, GCP). Extensive experience deploying observability platforms (i.e Dynatrace, Grafana, Splunk, Dynatrace, OpenTelemetry). Excellent problem-solving skills and the ability to make data-driven decisions. Exceptional communication and interpersonal skills, with the ability to influence and collaborate effectively across teams. Preferred: Demonstrated expertise in financial services, specifically investment management Certifications: SRECP, CRP FINRA Requirements FINRA licenses are not required and will not be supported for this role. Work Flexibility This role is eligible for hybrid work, with up to three days per week from home. City: State: Community / Marketing Title: Director of Site Reliability Engineering Company Profile: Location_formattedLocationLong: Maryland, US CountryEEOText_Description: Commitment to Diversity, Equity, and Inclusion: We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day. Benefits: We invest in our people through a wide range of programs and benefits, including: • Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions • Flexible and remote work opportunities • Health care benefits (medical, dental, vision) • Tuition assistance • Wellness programs (fitness reimbursement, Employee Assistance Program) Our policies may change as our working lives evolve. Yet, our commitment to supporting our associates' well-being and addressing the needs of our clients, business, and communities is unwavering. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.

Our Corporate IT Organization is driving the adoption of innovation across Eaton! In the role of Director of AI Engineering for Corporate IT, the individual will manage the development and execution of the enterprise AI strategy, roadmap, and investment priorities, ensuring alignment with the broader organizational objectives. They will lead the creation and implementation of a comprehensive AI strategy that supports the company's vision and goals. Responsibilities include researching emerging AI technologies, assessing their business implications, and advising on strategic investments. They will establish a framework and strategy for the deployment and governance of artificial intelligence and generative AI within the enterprise, including creating a centralized function and guidelines to support business initiatives, and enhancing data science efforts across various domains to foster growth, efficiency, and risk management in line with key corporate priorities. Key Responsibilities: Strategic Leadership * Define and execute Eaton's AI strategy for manufacturing, aligning with corporate goals and plant-level priorities. * Partner with operations, engineering, and supply chain leaders to identify high-impact AI opportunities across production, logistics, and maintenance. * Lead the adoption of generative AI, computer vision, predictive maintenance, and intelligent automation to optimize manufacturing processes. AI Engineering & Delivery * Build and lead a high-performing AI engineering team focused on scalable, production-grade solutions for industrial environments. * Oversee the full AI/ML lifecycle: data ingestion from OT/IT systems, model development, deployment to edge/cloud, and performance monitoring. * Champion MLOps best practices and cloud-native architectures (e.g., Azure ML, AWS SageMaker, Databricks) tailored for manufacturing use cases. Governance & Risk Management * Establish enterprise-wide AI governance, including ethical use, compliance with industrial standards, and risk mitigation. * Develop policies and frameworks for responsible AI, model transparency, and bias mitigation in safety-critical environments. Innovation & Enablement * Evaluate emerging AI technologies and vendor partnerships to inform build-vs-buy decisions for manufacturing applications. * Drive enterprise-wide education and change management to foster AI literacy and adoption across plants and engineering teams. * Represent AI initiatives to executive leadership and the Board, articulating impact on productivity, quality, and cost savings. Qualifications: Basic Qualifications * Bachelor's degree in Engineering and/or Computer Science from an accredited instituition. * Minimum 10 years of experience in engineering or technology leadership, with a focus on AI, data science, or digital transformation. * Minimum 2 years of enterprise IT leadership experience defining and executing AI strategies for a multi-billion-dollar industrial organization. * Must be authorized to work in the U.S. without company sponsorship. Preferred Qualifications * Proven success delivering AI-powered solutions at scale in manufacturing or industrial environments. * Experience with AI applications such as predictive maintenance, defect detection, process optimization, and supply chain analytics. * Deep understanding of AI/ML frameworks (e.g., PyTorch, TensorFlow), industrial data platforms (e.g., OSIsoft PI, Snowflake), and programming languages (Python, SQL). * Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines) and edge deployment strategies. * Strong track record of influencing senior stakeholders and driving enterprise-wide transformation in manufacturing settings. At Eaton, we strive to provide compensation and benefits that attract, engage, and retain the best talent. This includes competitive pay and a variety of benefit programs for eligible employees. The expected annual salary range for this role is $200,000- $280,000 a year. This role is also eligible for a variable incentive program. Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws. You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at ************** to discuss your specific need. Only accommodation requests will be accepted by this phone number. We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Our Corporate IT Organization is driving the adoption of innovation across Eaton! In the role of Director of AI Engineering for Corporate IT, the individual will manage the development and execution of the enterprise AI strategy, roadmap, and investment priorities, ensuring alignment with the broader organizational objectives. They will lead the creation and implementation of a comprehensive AI strategy that supports the company's vision and goals. Responsibilities include researching emerging AI technologies, assessing their business implications, and advising on strategic investments. They will establish a framework and strategy for the deployment and governance of artificial intelligence and generative AI within the enterprise, including creating a centralized function and guidelines to support business initiatives, and enhancing data science efforts across various domains to foster growth, efficiency, and risk management in line with key corporate priorities. **Key Responsibilities:** **Strategic Leadership** + Define and execute Eaton's AI strategy for manufacturing, aligning with corporate goals and plant-level priorities. + Partner with operations, engineering, and supply chain leaders to identify high-impact AI opportunities across production, logistics, and maintenance. + Lead the adoption of generative AI, computer vision, predictive maintenance, and intelligent automation to optimize manufacturing processes. **AI Engineering & Delivery** + Build and lead a high-performing AI engineering team focused on scalable, production-grade solutions for industrial environments. + Oversee the full AI/ML lifecycle: data ingestion from OT/IT systems, model development, deployment to edge/cloud, and performance monitoring. + Champion MLOps best practices and cloud-native architectures (e.g., Azure ML, AWS SageMaker, Databricks) tailored for manufacturing use cases. **Governance & Risk Management** + Establish enterprise-wide AI governance, including ethical use, compliance with industrial standards, and risk mitigation. + Develop policies and frameworks for responsible AI, model transparency, and bias mitigation in safety-critical environments. **Innovation & Enablement** + Evaluate emerging AI technologies and vendor partnerships to inform build-vs-buy decisions for manufacturing applications. + Drive enterprise-wide education and change management to foster AI literacy and adoption across plants and engineering teams. + Represent AI initiatives to executive leadership and the Board, articulating impact on productivity, quality, and cost savings. **Qualifications:** **Basic Qualifications** + Bachelor's degree in Engineering and/or Computer Science from an accredited instituition. + Minimum 10 years of experience in engineering or technology leadership, with a focus on AI, data science, or digital transformation. + Minimum 2 years of enterprise IT leadership experience defining and executing AI strategies for a multi-billion-dollar industrial organization. + Must be authorized to work in the U.S. without company sponsorship. **Preferred Qualifications** + Proven success delivering AI-powered solutions at scale in manufacturing or industrial environments. + Experience with AI applications such as predictive maintenance, defect detection, process optimization, and supply chain analytics. + Deep understanding of AI/ML frameworks (e.g., PyTorch, TensorFlow), industrial data platforms (e.g., OSIsoft PI, Snowflake), and programming languages (Python, SQL). + Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines) and edge deployment strategies. + Strong track record of influencing senior stakeholders and driving enterprise-wide transformation in manufacturing settings. At Eaton, we strive to provide compensation and benefits that attract, engage, and retain the best talent. This includes competitive pay and a variety of benefit programs for eligible employees. The expected annual salary range for this role is $200,000- $280,000 a year. This role is also eligible for a variable incentive program. _Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations._ We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws. You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at ************** to discuss your specific need. Only accommodation requests will be accepted by this phone number. We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here (********************************************* for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Honeywell Forge is looking for a Data Leader to help productize, scale and shape Honeywell Forge Data Platform, that is the backbone of driving AI and Autonomous solutions. This leader will enable data strategy and data execution to enable revenue streams from AI products, drive AI-driven insights for customers and build a trusted scalable data platform that can be democratized for Building and Industrial Automation business. The ideal leader is equal parts strategist and hands-on technologist capable of setting vision, shaping data architecture, and diving deep with senior engineers to designs, optimize pipelines, and resolve complex data challenges. The success of this role will be defined by adoption of Honeywell Forge Data Lake, delivery of deep stakeholder engagement, cost efficiency of data platform, accelerated speed of innovation using data, and demonstrable business value from AI-ready data. * Define and own the Honeywell connected data engineering strategy, reference architecture for AI-ready data, including cloud platform, data-as-a-service, and automation-first delivery model. Develop and communicate the enterprise data strategy and roadmap, ensuring alignment product requirements, and innovating for data as a service. * Lead architectural decisions for Honeywell Forge Data Lake comprising IT and OT data, CDC, and integration with multiple source systems; handle reuse, performance, cost efficiency, and time-to-market. * Architect, implement, and operate hybrid and cloud-native data platforms with heavy automation. * Establish trusted domains focusing on security, governance, and reuse across business lines. Lead the design and delivery of reusable, trusted data as a service with clear SLAs, documentation, versioning, and APIs; enforce data contracts for product requirements. * Enable secure, governed data sharing and monetization. * Provide platform services and reusable capabilities for data science and AI: feature store, model-ready curated layers, governed sandboxes, MLOps integration, and model/data lineage. * Embed data governance within pipelines: lineage capture, data classification, role-based and attribute-based access, fine-grained controls, and consent management. * Implement data quality by design: thresholding, anomaly detection, reconciliation, and data SLAs enforced in CI/CD and runtime with automated quarantine/retry/escalation. * Support build-vs-buy decisions, licensing, cloud spend, and vendor relationships. Scale teams and partners globally while building strong relationships with executives, technical teams, vendors, and business partners to understand needs, influence strategy, and promote best practices. * Oversee platform implementation projects, balancing innovation, cost-effectiveness, and risk management. * Scale, mentor, and inspire a diverse, high-performing data engineering and architecture team; develop adaptive hiring and resourcing strategies reflecting organizational growth and transformation. * Ensure compliance with all risk, regulatory, and audit standards, and maintain rigorous internal controls. US PERSON REQUIREMENTS: * Due to compliance with US export control laws and regulations, candidate must be a US Person which is defined as a US citizen, US permanent resident, or have protected status In the US under asylum or refugee status or have the ability to obtain an export authorization. Required Experience * 10 or more years in data engineering and/or data and analytics, including 5 or more years leading large-scale data engineering and platform teams in complex environments. * Deep expertise in data architecture and engineering: data modeling (OLTP/OLAP), big data and query engines, lakehouse, data warehousing, MDM, data integration, CDC, and large-scale batch/stream processing. * Experience delivering data products at scale with embedded governance, metadata/lineage, and continuous DQ; strong background in data contracts and data observability. * Time series data streaming expertise, event-driven architectures, and change data capture patterns. Proven success designing and operating enterprise cloud-native data platforms on at least one hyperscaler. * Practical experience enabling AI/ML: feature stores, model-ready datasets, MLOps integration, and privacy-preserving patterns; comfortable partnering with data scientists and ML engineers. * Executive presence with the ability to translate complex architectures into business value, present to senior leadership/board-level stakeholders, and lead through influence. * 5 or more years of people leadership, including hiring, performance management, coaching, and org design. * Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics Preferred Experience * Bachelor's or Master's degree in Computer Science, Engineering, or related discipline (STEM preferred). * Experience in industrial plants, buildings operations, knowledge of domains such operational efficiency, energy savings, predictive maintenance and operational optimization. * Familiarity with data monetization, secure data sharing, and analytics in hybrid platforms. In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits at Honeywell The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

KEY RESPONSIBILITIES Upskill Gen AI/UX for AI/ML Capabilities: * Develop and implement Gen AI/UX for AI/ML knowledge and capabilities across the HUE community. * Promote system thinking and storytelling techniques among key designers to align product vision with user needs. * Collaborate with all the Honeywell functions who interact with customers during their journey. * Establish a framework for regular usability testing across all products, ensuring dedicated UX researchers and usability testing experts are embedded in each studio. * Identify opportunities for improving UX designers in data visualization techniques to improve the interpretability of information through design. * oversee co-creation workshops with end users (not paying customers) to inform the development of new products and services * Promote an end-to-end user experience strategy that extends beyond core offerings, ensuring a holistic user experience across all product touchpoints. MUST HAVE: * 10-15 years of experience leading user research and/or experience design. * Master's or advanced degree in Behavioral Science, Human-Computer Interaction, Computer Science, User Experience Design, or a related field. NICE TO HAVE: * 15+ years of experience leading user research and/or design for mobile, web, and Android ecosystems and products. * Experience bringing an AI product to market from inception to launch. * Demonstrated research skills across qualitative and quantitative methods. * Expertise in interaction design in product and/or user experience. * Ability to translate complex vision into an understandable concept and workable design story. * Proficient in presenting concepts and designs to executive and above level business stakeholders. * Ability to communicate with design, software, hardware, and development teams regarding the technical limitations of designs for mobile, web, and/or Android products.

The HBS Solutions Engineer works closely with the sales and GMs to help drive sales and value-based outcomes to HBS customers. The solution engineer is responsible for demonstrating our solutions, POC activities, as well as collaborating with offering management and engineering teams across HBS to develop requirements and reference architectures to support the sales and customer lifecycle which will enable growth of the HBS business. Reporting to the HBS President, the solutions engineer will also be the highest level technical consultant for key customers and will coordinate the necessary tasks to deliver the designed HBS solution during the sales process. Key Responsibilities * Act as a technical expert in customer presentations * Determine the technical requirements to meet client goals * Build strong customer relationships, especially with key customer stakeholders and sponsors * Act as a liaison between the organization's sales/business development, and product and engineering groups * Manage customer expectations and lead them to customer satisfaction * Keep track of key components throughout POC process * Make sure all deliverables arrive in good order, on time, and fulfill customers' requirements * Communicate the progress to both internal and external stakeholders * Take initiatives in identifying growth opportunities * Collaborate with our teams to achieve sustainable growth YOU MUST HAVE * 15 years in building automation industry * Deep understanding of Honeywell products and third party products which could be integrated into the solutions * Strong interpersonal communication and customer service skills are needed in order work successfully with prospects, customers, and cross-functional teams to meet performance goals * Strong aptitude for learning new technologies and understanding how to utilize them in a customer-facing environment * Proven problem-solving skills and a sharp analytical mindset * A solid track record of successful project implementations WE VALUE * Advanced degree in engineering or related filed, business degree is a plus * Extensive engineering experience * Significant leadership experience preferably in an international, multi-site and multicultural business environment * Product development expertise, from idea generation to product launch * Competence to convey subtle or complex messages clearly, as appropriate for the topic and audience * Market focused mindset and ability to anticipate changes in customer's needs * Strategic thinking and effective management implementation on complex projects * Proven track record of successful cross functional experiences * Ability to consistently make timely decisions and balancing systematic analysis with decisiveness, even in the face of complexity

Responsibilities KEY RESPONSIBILITIES Upskill Gen AI/UX for AI/ML Capabilities: Develop and implement Gen AI/UX for AI/ML knowledge and capabilities across the HUE community. Promote system thinking and storytelling techniques among key designers to align product vision with user needs. Collaborate with all the Honeywell functions who interact with customers during their journey. Establish a framework for regular usability testing across all products, ensuring dedicated UX researchers and usability testing experts are embedded in each studio. Identify opportunities for improving UX designers in data visualization techniques to improve the interpretability of information through design. oversee co-creation workshops with end users (not paying customers) to inform the development of new products and services Promote an end-to-end user experience strategy that extends beyond core offerings, ensuring a holistic user experience across all product touchpoints. Qualifications MUST HAVE: 10-15 years of experience leading user research and/or experience design. Master's or advanced degree in Behavioral Science, Human-Computer Interaction, Computer Science, User Experience Design, or a related field. NICE TO HAVE: 15+ years of experience leading user research and/or design for mobile, web, and Android ecosystems and products. Experience bringing an AI product to market from inception to launch. Demonstrated research skills across qualitative and quantitative methods. Expertise in interaction design in product and/or user experience. Ability to translate complex vision into an understandable concept and workable design story. Proficient in presenting concepts and designs to executive and above level business stakeholders. Ability to communicate with design, software, hardware, and development teams regarding the technical limitations of designs for mobile, web, and/or Android products.

The HBS Solutions Engineer works closely with the sales and GMs to help drive sales and value-based outcomes to HBS customers. The solution engineer is responsible for demonstrating our solutions, POC activities, as well as collaborating with offering management and engineering teams across HBS to develop requirements and reference architectures to support the sales and customer lifecycle which will enable growth of the HBS business. Reporting to the HBS President, the solutions engineer will also be the highest level technical consultant for key customers and will coordinate the necessary tasks to deliver the designed HBS solution during the sales process. Responsibilities Key Responsibilities Act as a technical expert in customer presentations Determine the technical requirements to meet client goals Build strong customer relationships, especially with key customer stakeholders and sponsors Act as a liaison between the organization's sales/business development, and product and engineering groups Manage customer expectations and lead them to customer satisfaction Keep track of key components throughout POC process Make sure all deliverables arrive in good order, on time, and fulfill customers' requirements Communicate the progress to both internal and external stakeholders Take initiatives in identifying growth opportunities Collaborate with our teams to achieve sustainable growth Qualifications YOU MUST HAVE 15 years in building automation industry Deep understanding of Honeywell products and third party products which could be integrated into the solutions Strong interpersonal communication and customer service skills are needed in order work successfully with prospects, customers, and cross-functional teams to meet performance goals Strong aptitude for learning new technologies and understanding how to utilize them in a customer-facing environment Proven problem-solving skills and a sharp analytical mindset A solid track record of successful project implementations WE VALUE Advanced degree in engineering or related filed, business degree is a plus Extensive engineering experience Significant leadership experience preferably in an international, multi-site and multicultural business environment Product development expertise, from idea generation to product launch Competence to convey subtle or complex messages clearly, as appropriate for the topic and audience Market focused mindset and ability to anticipate changes in customer's needs Strategic thinking and effective management implementation on complex projects Proven track record of successful cross functional experiences Ability to consistently make timely decisions and balancing systematic analysis with decisiveness, even in the face of complexity

The HBS Solutions Engineer works closely with the sales and GMs to help drive sales and value-based outcomes to HBS customers. The solution engineer is responsible for demonstrating our solutions, POC activities, as well as collaborating with offering management and engineering teams across HBS to develop requirements and reference architectures to support the sales and customer lifecycle which will enable growth of the HBS business. Reporting to the HBS President, the solutions engineer will also be the highest level technical consultant for key customers and will coordinate the necessary tasks to deliver the designed HBS solution during the sales process. **Key Responsibilities** + Act as a technical expert in customer presentations + Determine the technical requirements to meet client goals + Build strong customer relationships, especially with key customer stakeholders and sponsors + Act as a liaison between the organization's sales/business development, and product and engineering groups + Manage customer expectations and lead them to customer satisfaction + Keep track of key components throughout POC process + Make sure all deliverables arrive in good order, on time, and fulfill customers' requirements + Communicate the progress to both internal and external stakeholders + Take initiatives in identifying growth opportunities + Collaborate with our teams to achieve sustainable growth **YOU MUST HAVE** + 15 years in building automation industry + Deep understanding of Honeywell products and third party products which could be integrated into the solutions + Strong interpersonal communication and customer service skills are needed in order work successfully with prospects, customers, and cross-functional teams to meet performance goals + Strong aptitude for learning new technologies and understanding how to utilize them in a customer-facing environment + Proven problem-solving skills and a sharp analytical mindset + A solid track record of successful project implementations **WE VALUE** + Advanced degree in engineering or related filed, business degree is a plus + Extensive engineering experience + Significant leadership experience preferably in an international, multi-site and multicultural business environment + Product development expertise, from idea generation to product launch + Competence to convey subtle or complex messages clearly, as appropriate for the topic and audience + Market focused mindset and ability to anticipate changes in customer's needs + Strategic thinking and effective management implementation on complex projects + Proven track record of successful cross functional experiences + Ability to consistently make timely decisions and balancing systematic analysis with decisiveness, even in the face of complexity Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable. Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

**KEY RESPONSIBILITIES** **Upskill Gen AI/UX for AI/ML Capabilities:** + Develop and implement Gen AI/UX for AI/ML knowledge and capabilities across the HUE community. + Promote system thinking and storytelling techniques among key designers to align product vision with user needs. + Collaborate with all the Honeywell functions who interact with customers during their journey. + Establish a framework for regular usability testing across all products, ensuring dedicated UX researchers and usability testing experts are embedded in each studio. + Identify opportunities for improving UX designers in data visualization techniques to improve the interpretability of information through design. + oversee co-creation workshops with end users (not paying customers) to inform the development of new products and services + Promote an end-to-end user experience strategy that extends beyond core offerings, ensuring a holistic user experience across all product touchpoints. **MUST HAVE:** + 10-15 years of experience leading user research and/or experience design. + Master's or advanced degree in Behavioral Science, Human-Computer Interaction, Computer Science, User Experience Design, or a related field. **NICE TO HAVE:** + 15+ years of experience leading user research and/or design for mobile, web, and Android ecosystems and products. + Experience bringing an AI product to market from inception to launch. + Demonstrated research skills across qualitative and quantitative methods. + Expertise in interaction design in product and/or user experience. + Ability to translate complex vision into an understandable concept and workable design story. + Proficient in presenting concepts and designs to executive and above level business stakeholders. + Ability to communicate with design, software, hardware, and development teams regarding the technical limitations of designs for mobile, web, and/or Android products. Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable. Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

Honeywell Forge is looking for a Data Leader to help productize, scale and shape Honeywell Forge Data Platform, that is the backbone of driving AI and Autonomous solutions. This leader will enable data strategy and data execution to enable revenue streams from AI products, drive AI-driven insights for customers and build a trusted scalable data platform that can be democratized for Building and Industrial Automation business. The ideal leader is equal parts strategist and hands-on technologist capable of setting vision, shaping data architecture, and diving deep with senior engineers to designs, optimize pipelines, and resolve complex data challenges. The success of this role will be defined by adoption of Honeywell Forge Data Lake, delivery of deep stakeholder engagement, cost efficiency of data platform, accelerated speed of innovation using data, and demonstrable business value from AI-ready data. + Define and own the Honeywell connected data engineering strategy, reference architecture for AI-ready data, including cloud platform, data-as-a-service, and automation-first delivery model. Develop and communicate the enterprise data strategy and roadmap, ensuring alignment product requirements, and innovating for data as a service. + Lead architectural decisions for Honeywell Forge Data Lake comprising IT and OT data, CDC, and integration with multiple source systems; handle reuse, performance, cost efficiency, and time-to-market. + Architect, implement, and operate hybrid and cloud-native data platforms with heavy automation. + Establish trusted domains focusing on security, governance, and reuse across business lines. Lead the design and delivery of reusable, trusted data as a service with clear SLAs, documentation, versioning, and APIs; enforce data contracts for product requirements. + Enable secure, governed data sharing and monetization. + Provide platform services and reusable capabilities for data science and AI: feature store, model-ready curated layers, governed sandboxes, MLOps integration, and model/data lineage. + Embed data governance within pipelines: lineage capture, data classification, role-based and attribute-based access, fine-grained controls, and consent management. + Implement data quality by design: thresholding, anomaly detection, reconciliation, and data SLAs enforced in CI/CD and runtime with automated quarantine/retry/escalation. + Support build-vs-buy decisions, licensing, cloud spend, and vendor relationships. Scale teams and partners globally while building strong relationships with executives, technical teams, vendors, and business partners to understand needs, influence strategy, and promote best practices. + Oversee platform implementation projects, balancing innovation, cost-effectiveness, and risk management. + Scale, mentor, and inspire a diverse, high-performing data engineering and architecture team; develop adaptive hiring and resourcing strategies reflecting organizational growth and transformation. + Ensure compliance with all risk, regulatory, and audit standards, and maintain rigorous internal controls. **US PERSON REQUIREMENTS:** + Due to compliance with US export control laws and regulations, candidate must be a US Person which is defined as a US citizen, US permanent resident, or have protected status In the US under asylum or refugee status or have the ability to obtain an export authorization. **Required Experience** + 10 or more years in data engineering and/or data and analytics, including 5 or more years leading large-scale data engineering and platform teams in complex environments. + Deep expertise in data architecture and engineering: data modeling (OLTP/OLAP), big data and query engines, lakehouse, data warehousing, MDM, data integration, CDC, and large-scale batch/stream processing. + Experience delivering data products at scale with embedded governance, metadata/lineage, and continuous DQ; strong background in data contracts and data observability. + Time series data streaming expertise, event-driven architectures, and change data capture patterns. Proven success designing and operating enterprise cloud-native data platforms on at least one hyperscaler. + Practical experience enabling AI/ML: feature stores, model-ready datasets, MLOps integration, and privacy-preserving patterns; comfortable partnering with data scientists and ML engineers. + Executive presence with the ability to translate complex architectures into business value, present to senior leadership/board-level stakeholders, and lead through influence. + 5 or more years of people leadership, including hiring, performance management, coaching, and org design. + Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics **Preferred Experience** + Bachelor's or Master's degree in Computer Science, Engineering, or related discipline (STEM preferred). + Experience in industrial plants, buildings operations, knowledge of domains such operational efficiency, energy savings, predictive maintenance and operational optimization. + Familiarity with data monetization, secure data sharing, and analytics in hybrid platforms. In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits at Honeywell (******************************** The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable. Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠. The Director, Property Account Engineer will be responsible for providing in depth portfolio management of a dedicated UW team (5 -10 underwriters). This is for the Property line of business (HPR - Highly Protected Risk) and would involve: Responsibilities: * Working with underwriters to review incoming submissions and advising what engineering support is warranted * Reviewing in force accounts of the UW team to determine status of open engineering aspects (recommendations, surveys, service), account performance, and if additional engineering support is warranted * Determining which accounts merit engineering services * Coordinating service for the team's accounts Required Skills: * Extensive experience with conducting HPR Property surveys * Extensive experience with servicing HPR Property accounts * Strong competency with analyzing loss data * Competency with Microsoft suite tools and applications * Great communication skills for working Underwriters, policy holders, brokers * Solid time management skills * Strong industry expertise in Manufacturing, Real Estate, & Hospitality Education: * Engineering or comparable degree/experience #LI-JD1 #LI-Remote Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits. Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team. 14400 Arch Insurance Group Inc.

At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We're seeking a future team member for the role of Senior Vice President, Infrastructure Engineer (Collaboration and Tech) to join our Workplace Experience team. This role is in Pittsburgh, PA - 4 days in office required. In this role, you'll make an impact in the following ways: Responsible for the architecture, design and implementation of BNY virtual meeting platforms including but not limited to Microsoft Teams, Cisco Webex, Zoom Accountable for colleague experience platforms including Appspace and TriplePlay as well as live event and streaming technologies. Perform technical reviews and drive use of new and evolving technologies to improve colleague meeting workplace, and virtual meeting experiences. Participate in troubleshooting technical issues on an escalation basis. Build and maintain relationships with colleagues and senior leaders across BNY to bring industry insights, thought leadership, and technical expertise for audio, video, intelligent workspaces and live video production technologies. Foster relationships with key external partners and vendors to investigate emerging and strategic technologies Research and design complex AV systems with a focus on ease of use and colleague experience. Develop standards, best practices, and standard operating procedures to drive operational excellence and consistency of colleague experiences across all BNY locations. To be successful in this role, we're seeking the following: Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred10-12 years of related experience required; experience in the securities or financial services industry is a plus. Minimum of 5 years' experience administering and operating video solutions leveraging Cisco UCM, Expressway, Webex, RoomOS, SIP, RTMP and HLS. Foundational knowledge of networking including TCP/IP, DHCP, routing & switching, multicast, firewalls, certificates, encryption, proxy servers and QoS. Exceptional written and verbal communications skills and the ability to influence others, gain alignment, and secure support. Willingness to take ownership with a hands-on approach to solve problems. Highly organized with outstanding attention to detail, and the ability to work calmly under pressure. Financial or other regulated industry experience preferred. Ability to work non-standard hours as required. At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn Here's a few of our recent awards: • America's Most Innovative Companies, Fortune, 2025 • World's Most Admired Companies, Fortune 2025 • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We're seeking a future team member for the role of Senior Vice President, AI / Machine Learning Data Engineer to join our AI HUB team. This role is located in Pittsburgh, PA. In this role, you'll make an impact in the following ways: Lead research initiatives, provide strategic direction on AI architecture, technical expertise, and craft strategic approaches on Machine Learning and Artificial Intelligence products. Has deep knowledge of the AI and Machine Learning field, and the practical applications of ML/AI concepts. Conduct technical research studies to provide additional facts needed to make informed strategic decisions. Establishes strong relationships with internal teams to gain an understanding of their strategies, objectives, and tactics to develop a comprehensive success measurement plan. Provides expertise in the most complex processes of integrating ML/AI across existing and modified applications. Collaborate with and support leaders and their teams from multiple areas of expertise to ensure strategies and data science products are aligned and support business and operating results. Stays abreast of emerging technologies and identifies potential use of new and existing technology within lines of business by participating in industry-wide conferences and research and by having in-depth knowledge of various business areas. Contribute to the achievement of Application Development objectives. Mentors and develops a successful team of machine learning engineers. To be successful in this role, we're seeking the following: Advanced degree in STEM engineering or equivalent work experience with experience preferred in related fields 7-9 years of related experience required; experience in the securities or financial services industry is a plus. Advance experience in C++ or Java for high performance system integration. Knowledge of data structures, algorithm's and software engineering fundamentals. Proven experience with modern ML frameworks in Python,(Pytorch, Numpy). Strong understanding of clean code practices. Ability to communicate technical ideas and express complex concepts to different types of audience Experienced in designing end to end pipelines with MLOps. Proficient with SQL, Spark, Airflow and data pipeline design in dealing with real-time financial data. Experience in AI, Machine Learning, Reinforcement Learning, Natural Language Processing At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn Here's a few of our recent awards: America's Most Innovative Companies, Fortune, 2025 World's Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.