Tiger Analytics jobs

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for a Senior Data Steward Manager to join our team. In this role, you will be responsible for overseeing the management and governance of data assets within the organization. You will work closely with cross-functional teams to ensure data quality, compliance, and privacy.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you! What You'll Do: * Collaborate with cross-functional teams to design and deploy ML models. * Develop reusable, scalable code for AI/ML applications. * Leverage GCP services to build end-to-end machine learning pipelines. * Optimize models for performance and scalability using Vertex AI.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you. We are looking for a results-driven Senior Analytics Consultant with a strong background in healthcare payer data and technical expertise in SQL, Python, and ETL processes. In this role, you'll work closely with stakeholders to uncover insights from complex datasets, develop impactful data solutions, and support strategic decision-making across healthcare payer organizations. Responsibilities Extract, transform, and analyse complex datasets using SQL and Python. Design and implement analytical models and methodologies to solve critical business problems. Collaborate with stakeholders to translate unstructured business needs into well-defined analytical requirements. Present analytical findings and actionable insights through compelling reports and presentations. Develop data-driven strategies tailored to the unique challenges of healthcare payer organizations. Maintain a strong understanding of industry trends, regulatory changes, and emerging technologies in healthcare analytics. Engage with cross-functional teams to align technical solutions with client goals. Partner with consulting teams to drive adoption of analytics across business processes and technology platforms. Requirements 5 - 7 years of hands-on experience with SQL for querying and data manipulation. Proficient in Python for data analysis and model development. Experience in ETL processes and working with data warehousing solutions. Experience working with mainframe data extraction is a mandatory. Demonstrated expertise in the Healthcare Payer industry is mandatory. Excellent communication and presentation abilities to convey technical insights to non-technical stakeholders. Ability to work collaboratively with clients to define goals, requirements, and success metrics. Bachelor's degree in a technology-related field. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple geographies across the US, UK, India, Australia, Canada, Mexico, and Singapore, and a substantial remote global workforce. We are seeking a dynamic and experienced DS/AI Tech Partner (a Data Science Growth Leader) to join our team. This role will co-own business development and growth initiatives from a technical perspective, designing strategy & supporting the execution of GTM efforts for our end-to-end enterprise-grade data science technology capabilities & solutions in AI, ML & AI Engineering across industries & domains. The ideal candidate will have a strong focus on delivering business outcomes for our customers using Data Science and possess a deep & fundamental understanding of DS methodologies and AI technology from experience in successfully delivering such business outcomes in their own careers. Key Responsibilities: Business Development & Growth: Identify and pursue new business opportunities in the AI & ML space. Develop and execute strategies to expand our client base and market presence. Build and maintain strong relationships with key stakeholders and clients. Collaborate with sales and marketing teams to create compelling value propositions and proposals. Technical Leadership: Lead the design, development, and deployment of enterprise-level data science solutions. Ensure solutions are scalable, robust, and aligned with business objectives. Stay abreast of the latest advancements in AI & ML technologies and integrate them into our offerings. Mentor and guide a team of data scientists and engineers to achieve project goals. Strategic Planning: Develop and implement a strategic roadmap for data science initiatives. Align data science projects with overall business strategy and client needs. Drive innovation and continuous improvement in data science methodologies and practices. Client Engagement: Work closely with clients to understand their business challenges and requirements. Translate client needs into actionable data science solutions. Present findings, insights, and recommendations to clients in a clear and compelling manner. Requirements ● Advanced degree (Ph.D. or Master's) in Data Science, Computer Science, Statistics, or a related field. ● 18 to 20 years of extensive experience in the Data Science and AI space. ● Proven experience in a leadership role within the AI & ML services industry. ● Strong track record of driving business development and growth initiatives. ● Extensive experience in developing and deploying enterprise-level data science solutions. ● Excellent communication and interpersonal skills. ● Ability to work collaboratively in a fast-paced, dynamic environment. Preferred Skills: ● Experience with cloud platforms (AWS, Azure, Google Cloud). ● Proficiency in programming languages such as Python, R, and SQL. ● Familiarity with big data technologies (Hadoop, Spark). ● Strong analytical and problem-solving skills. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are seeking an experienced Business Analyst with a strong background in the Oil and Gas domain to join our team in Houston, TX. The ideal candidate will be responsible for gathering, analyzing, and documenting business requirements, interacting with stakeholders, and working closely with technical teams to deliver data-driven solutions. Key Responsibilities Collaborate with business and technology teams to gather, analyze, and document requirements. Support the design of technical solutions and maintain documentation of business processes and procedures. Work with cross-functional teams to design and implement effective business solutions. Translate business needs into clear functional requirements and assist development teams throughout the delivery lifecycle. Facilitate meetings, workshops, and discussions with stakeholders to validate and refine requirements. Identify gaps, risks, and opportunities for improving financial operations and processes. Requirements 6-10 years of Business Analyst experience with a strong background in Oil and Gas. Strong expertise in stakeholder management and effective business interaction. Excellent written and verbal communication skills, with the ability to present effectively to both technical and non-technical stakeholders. Proficient in SQL and Excel; experience with visualization tools (e.g., Tableau, Power BI) is a plus. Strong critical thinking, problem-solving, and analytical skills. Bachelor's degree in a technology-related or business field is required, MBA in Finance or Accounting is a plus. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are one of the highest-rated employers on Glassdoor. We are seeking a highly motivated and experienced Product Manager with a strong background in infrastructure to join our dynamic team. As a Product Manager, you will be responsible for leading the development and enhancement of our infrastructure products and services. Your expertise in infrastructure technologies, combined with your product management skills, will drive the roadmap and ensure the successful delivery of innovative solutions to meet our customers' needs. You will collaborate closely with cross-functional teams to define product strategies, prioritize features, and oversee the product development lifecycle. Requirements Bachelor's degree in Computer Science, Engineering, or a related field. MBA or advanced degree is a plus. Proven experience as a Product Manager with a focus on infrastructure products and services. Solid understanding of infrastructure technologies, such as cloud computing, networking, virtualization, and storage solutions. Demonstrated success in developing and launching infrastructure products that meet customer needs and drive business growth. Strong analytical and problem-solving skills with the ability to make data-driven decisions. Excellent communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical teams. Good understanding of common cloud technologies such as cloud data services, On-Prem infra, databricks, docker, virtualization, network, cloud security, etc. Knowledge of multiple functional areas, e.g. product management, engineering, UI/UX, customer support, marketing. Strong communication skills to manage the large degree of interaction with cross-functional teams and customers. Ability to influence multiple stakeholders without direct authority. Ability to articulate platform requirements per the audience (high level to deep low level technical). Good understanding of cloud infrastructure security requirements Identify and define traffic management and security design discussions partnering with feature delivery teams Evaluate industry innovations and technology platforms, and identify partnership and collaboration opportunities Decompose complex solutions into iterative chunks of work, and make the difficult and high-judgment trade-offs between features and time-to-market. Create strategic cloud and on-prem platform roadmaps, coordinate and manage the product development schedule. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. This role will be responsible for Architecture, Designing and implementing best data practices on the Azure platform. Requirements Should have extensively worked on Azure Hub, Azure Device SDK, Azure Device provisioning services, Azure Device twins, Azure Functions, Databricks, Cosmos DB, Azure Stream analytics Experience leading or contributing to cloud data platform modernization initiatives, including re-architecting legacy systems for scalability, performance, and cost-efficiency on Azure Hands-on experience working with Teradata, including data modelling, performance tuning, and complex SQL query development. Proven experience in migrating data from Teradata to Azure-based data platforms (e.g., Azure Synapse Analytics, Azure Data Lake, Azure SQL Database) Knowledgeable in tools used to identify and manage structured and unstructured data Must have BI, EDW, along with Data Strategy, Architecture and Governance Defined and implemented information lifecycle management practices Strong background and working knowledge in end-to-end data management principles Strong background in developing and utilizing tools that prepare, extract and manipulate data to create connected datasets (data warehousing) that can be utilized for analytics purposes Strong communicator at the technical levels Demonstrated teamwork skills Good to have- Experience in architecting and building Azure IoT platforms/apps with good exposure to containerization and server less architecture Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are seeking a Data Scientist having good experience in building Models and advanced analytics solutions. The role involves leading client discussions, designing models around SEO and Paid Searches, and guiding cross-functional teams in delivering end-to-end data science projects. Key Responsibilities: Build and maintain predictive and optimization models for organic and paid search performance (CTR, CPC, conversion rate, ROAS). Analyze keyword performance, bidding strategies, and content ranking to identify growth opportunities. Partner with marketing teams to design and evaluate A/B tests across campaigns. Develop dashboards and data pipelines integrating Google Ads, Google Search Console, Google Analytics, and SEO tools (Ahrefs, SEMrush, Moz). Apply NLP techniques to analyze search queries, website content, and competitor landscape. Present actionable insights to marketing and leadership teams. Requirements Bachelor's or Master's degree in Computer Science, Mathematics, or a related technical field. Strong knowledge of search algorithms, keyword dynamics, and ad auction systems Proficiency in Python/R, SQL, and data visualization tools (Tableau, Power BI, Looker). Experience with APIs from Google Ads, Search Console, and other SEO/SEM platforms. Solid understanding of A/B testing, incrementality, and multi-touch attribution. Background in statistics, econometrics, or machine learning Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for a hands-on Engineering Lead with deep expertise in Generative AI (GenAI), Large Language Models (LLM) / Small Language Models (SLM) who can lead the design, development, and integration of AI-powered components into real-world, production-grade applications. This role demands strong engineering leadership and best practices, a practical approach to application development and system design with applied AI, fluency in modern AI tools, frameworks, cloud-native application stacks, and preferably knowledge of healthcare domain intricacies. You will lead the technical delivery of AI-powered features for a variety of horizonal and vertical healthcare use cases- all while ensuring compliance with enterprise integration standards. Requirements Responsibilities Lead the architecture, design, and implementation of GenAI/LLM-based solutions into real-world enterprise-ready applications. Collaborate with AI/ML teams to operationalize models using APIs, embeddings, vector databases, and prompt engineering techniques. Own full-stack development and integration of GenAI features into web/mobile applications. Establish best practices for scalable, secure, and maintainable AI-powered application development. Optimize application performance, latency, and reliability of AI features in production. Drive DevOps practices for continuous delivery and monitoring of AI-enabled services in production. Mentor engineers and guide code reviews, architectural decisions, and DevOps practices. Guide engineering teams in code quality, architectural reviews, and technical mentoring. Evaluate emerging GenAI tools and LLM frameworks (OpenAI, LangChain etc.) and make build-vs-buy recommendations. Oversee application-level development, testing, and deployment. Requirements 10+ years of full-stack application engineering experience, with at least 2 years leading cross-functional teams. Proven track record developing and integrating GenAI/LLM-based features into enterprise applications. Exposure to LLM fine-tuning, RAG pipelines, or model evaluation techniques for NLP use cases Familiarity with LLM orchestration tools (LangChain, Semantic Kernel etc) and embedding/vector store technologies. Proficiency in application frameworks such as Node.js, React, Python, or Java Spring Boot Strong understanding of API development, front-end/backend integration, and cloud services (AWS, Azure, or GCP) Hands-on experience with containerization (Docker, Kubernetes) and CI/CD pipelines Strong understanding of application-level security, performance tuning, and production monitoring Nice to have - Deep knowledge of healthcare payer workflows (claims processing, member portals, benefit management, etc). Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. The Master Data Management Analyst will be responsible for defining, designing and building dimensional databases to meet business needs. Assistsing in the application and implementation procedures of data standards and guidelines coding structures and data replication to ensure access to and integrity of data sets. Requirements The ideal candidate would be someone with strong experience in consulting, stakeholder management as well as extensive experience working in Analytics space. Details follow. Excellent experience in Master Data Management including include Meta-Data Management, Data Migration, Data Security and Data Transformation/Conversion. Extensive experience in CPG Domain. Experience in ETL processes and advanced SQL skills Intermediate Requirements Gathering/Elicitation, Documentation, and Source to Target mapping skills. Working knowledge of SAP MDG . Working knowledge of Conceptual, Logical and Physical Data Modeling concepts as well as Database design concepts Practical experience working in an Agile Methodology. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: Design and implement AI algorithms and models to solve real-world problems. Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions. Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes. Develop technical documentation as well as customer-facing documentation and presentations. Stay updated with the latest research and trends in AI and propose innovative ideas to improve our offerings. Qualifications: Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production. Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn. Experience with cloud-based AI services such as AWS, Google Cloud, or Azure. Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions. Excellent communication skills and ability to convey complex technical concepts to non-technical stakeholders. Preferred Skills: Experience with natural language processing (NLP) or computer vision applications. Knowledge of MLOps principles and tools. Familiarity with version control systems (e.g., Git) and Agile methodologies. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Tiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and Al, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights driven. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. The Technology Partner is a multi-faceted leadership role and part of Tiger's core Data & Insights Solutions practice leadership. This role will be required to bring breadth and depth of technology expertise, founded in - experience with delivering large transformation, leading innovation driven practices, consulting to and managing executive stakeholders across IT and Business. Requirements Details: The individual in this role will be required to provide Thought Leadership and Client Engagement Liaise with all levels of data leaders at our strategic clients to provide forward looking advisory and thought leadership Hold brown bags and educative forums to share thought leadership with our core clients Hold client platform, organization and practices reviews proactively and provide improvement recommendations, solutions and roadmaps Provide technology leadership to transformation agendas rooted in Data and Insights, addressing Technology, Organization and Processes Help recruit key talent to fill key client technology roles Create detailed technology solutions for first of a kind and complex initiatives Pre- Sales and New business Present Tiger capabilities to new prospects Create Solutions and Proposals for client requirements Data and Insights Practice Leadership Mentor Engineering Talent at different levels Manage architect resources Create thought leadership content for go to market offerings including reference architectures, methods and practices Interview and participate in helping evolve hiring practices Liaison with offshore counterparts on solutions, training and overall capabilities development Expertise and Skills Needed: Experience with Solution Architecture development for large enterprises and transformation programs Strong experience with traditional and modern data platforms -NoSQL, MPP, columnar, big data and cloud data platforms. Experience with Cloud Data platform services across AWS, Azure and GCP 5+ years' experience in consulting leadership roles. Experience with Data processing tools and frameworks including batch ETL, real time streaming and IoT architectures Experience with Big Data, Data Fabric and Data Mesh Architectures. Experience with Federated and centralized Data Management practices and technologies including Data Governance. Experience with industry leading data management platforms Experience with establishing Data governance, Data catalogs and deep understanding of all dimensions of data security Experience and expertise on MLOPs processes, platforms and organizational implications Experience with ML Models and modeling lifecycle Experience with data warehousing, BI lifecycle and technologies Knowledge and experience with Knowledge graphs and related graph technologies Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. The Master Data Management Analyst will be responsible for defining, designing and building dimensional databases to meet business needs. Assistsing in the application and implementation procedures of data standards and guidelines coding structures and data replication to ensure access to and integrity of data sets. Requirements The ideal candidate would be someone with strong experience in consulting, stakeholder management as well as extensive experience working in Analytics space. Details follow. Excellent experience in Master Data Management including include Meta-Data Management, Data Migration, Data Security and Data Transformation/Conversion. Extensive experience in CPG Domain. Experience in ETL processes and advanced SQL skills Intermediate Requirements Gathering/Elicitation, Documentation, and Source to Target mapping skills. Working knowledge of SAP MDG . Working knowledge of Conceptual, Logical and Physical Data Modeling concepts as well as Database design concepts Practical experience working in an Agile Methodology. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics is looking for an experienced Technical Program Manager to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. Key Responsibilities Acts as project manager - monitoring the program from initiation through delivery, including planning and directing schedules. Gathers input from the project team and develops a plan independently for projects of moderate to significant scope, which may include novel products or services. Uses established tools, approaches/methodologies, and templates to guide and document the plan and communicate it to the team. Gathers feedback from the team to revise and complete the plan as needed. May lead multiple limited-to-moderate scope projects simultaneously, or manage part of a larger program directly or through oversight of less senior program managers. Programs may be moderate to complex in nature, or they may involve a single large program with cross-functional teams in multiple locations. Oversees the work of the project team (indirectly supervises), involving members from a wide range of disciplines, including application engineering. Assists with the coordination of deliverables and project assets to assist the project team. Strategic Planning & Tracking - Develop a comprehensive plan with the vendor (Data Poem), create a Publicis integration roadmap, RAID log, and tracker for the One Demand Measurement Data Hub initiative. Project Delivery & Reporting - Coordinate delivery and performance reporting for data automation & quality workstreams using agile principles. Update CDO leadership on weekly program status, NA & steerco reporting. Change Management - Build a comprehensive plan to support Publicis agency change to the full suite of CDO portfolio (one demand area). Requirements 10-12 years of experience in project management and application development. Experience in deploying enterprise-level applications. Release Management, Change Management, and Project Management experience. Demonstrated working knowledge of concepts with program management approaches, tools and methodologies. Intermediate to advanced skills in PC based documentation tools, including MS Office and MS Project A team player and self-starter. Previous work in a cloud-based service, such as Azure or AWS, is an asset Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Lead Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines on AWS cloud infrastructure. You will work closely with cross-functional teams to support data analytics, machine learning, and business intelligence initiatives. The ideal candidate will have strong experience with AWS services, Databricks, and Apache Airflow. Key Responsibilities: Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc. Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements. Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring. Lead the migration of legacy data systems to modern cloud-based architectures. Develop and maintain CI/CD pipelines for data workflows. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable data solutions. Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies. Requirements 10+ years of experience building and deploying large-scale data processing pipelines in a production environment. Hands-on experience in designing and building data pipelines on AWS cloud infrastructure. Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc. Lead the design, development, and optimization of large-scale data pipelines and data lakehouse architectures using Databricks Architect and implement batch and real-time streaming solutions leveraging Apache Spark on Databricks Hands-on experience with Apache Airflow for orchestrating and scheduling data pipelines. Solid understanding of data modeling, database design principles, and SQL and Spark SQL. Experience with version control systems (e.g., Git) and CI/CD pipelines. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Strong problem-solving skills and attention to detail. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, has recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate to work on unstructured business problems that can be solved using data and excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you. We are seeking a talented and experienced Architect with expertise in Azure, UiPath, and RPA to join our dynamic team. As an Automation Architect, you will play a crucial role in designing, implementing, and optimizing solutions that leverage Azure cloud services, UiPath automation platform, and RPA technologies to drive digital transformation and enhance operational efficiency. Requirements Key Responsibilities: Collaborate with stakeholders to understand business requirements and design scalable architecture solutions using Azure services. Lead the implementation of UiPath automation projects, including process analysis, design, development, testing, and deployment. Utilize RPA knowledge to automate repetitive tasks and streamline business processes. Provide technical guidance and mentorship to development teams on best practices for Azure, UiPath, and RPA implementation. Conduct regular reviews of architecture designs to ensure alignment with industry standards and best practices. Stay current with emerging technologies in Azure, UiPath, and RPA to drive innovation within the organization. Qualifications: Bachelor's degree in Computer Science or related field; Master's degree preferred. Proven experience as an Architect working with Azure cloud services. Strong expertise in UiPath automation platform and RPA technologies. Excellent problem-solving skills and ability to think strategically about technology solutions. Strong communication skills with the ability to effectively collaborate with cross-functional teams. Relevant certifications in Azure, UiPath, or RPA are a plus. Join us in shaping the future of digital transformation through innovative solutions built on Azure, UiPath, and RPA technologies. If you are passionate about architecture design and have a strong technical background in these areas, we would love to hear from you. Apply now to be part of our dynamic team! Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for a Senior Data Steward Manager to join our team. In this role, you will be responsible for overseeing the management and governance of data assets within the organization. You will work closely with cross-functional teams to ensure data quality, compliance, and privacy. Requirements •Preference will be given to candidates located in the Plano, TX or Purchase, NY area and are able to be in office on a hybrid schedule •Support the global Integrated Business Planning (IBP) program to identify and validate data sources to fulfill IBP requirements. •Identify data sources and partner with business and tech teams to address gaps; check that joining of different data sources generates a meaningful final dataset for a particular use case. •Perform trend and/or pattern analysis •Support source to target mapping (STTM) •Conduct business-facing, data quality rule definition and capture •Complete data cataloging for assigned assets while adhering to global governance standards •Monitor data quality scorecards/reports and engage data owners to address exceptions •Responsible for the promotion of data accuracy and adherence to PepsiCo defined data management and governance practices, as well as driving acceptance of PepsiCo's enterprise data standards and policies across the various business segments and areas that utilize (formally and informally) enterprise data and information. •Take an interest to learn and quickly demonstrate domain and/or business functional knowledge to enable validation of data requirements •Maintain and advise relevant stakeholders as appropriate on data governance related matters. •Coordinate across the organization (with fellow Enterprise Data Stewards and the EDG leader; strategic initiatives, Digital Use Cases and the federated data network) to maintain consistency of PepsiCo's critical enterprise, digital, operational and analytical data. •Ensure data-centric activities are aligned with the enterprise data governance program and leverage applicable data standards, governance processes, and overall best practices. •Capture and build (business logic) of aggregation and disaggregation logic of master data & joins of transactional data Qualifications / Requirements: •6+ years of experience working in Data Governance or Data Management experience within a global CPG (Consumer Packaged Good) company or similar industry, general understanding of data governance concepts and processes •Strong data management background who understands data, how to ingest data, proper data use/consumption, data quality, and stewardship. •Ability to partner with both business and technical subject matter experts to ensure standardization of operational information and execution of enterprise-wide data governance policies and procedures are defined and implemented. •Experience with SAP Forecast to Schedule (FTS) module that will allow for intelligent questioning of business and technical stakeholders to attain data source and data flow details •Strong communication skills and Excel proficiency, including experience profiling with Excel •Experience researching, validating, profiling and cataloging datasets •Informatica (EDC, Axon, IDQ, Reference 360) experience preferred •Experience with O9 Solutions IBP module is a plus Competencies: •Highly motivated with ability to prioritize and handle multiple assignments in a fast-paced environment •Strong knowledge and understanding of master data elements and processes •Ability to own sub-tasks of a project with little supervision. •Demonstrated proficiency in using Excel to source, analyze, normalize and process data to define requirements for ongoing processing and management of the data including quality validations. •Strong data management background with understanding of how to ingest data, proper data use/consumption, data quality, and stewardship •Knowledge of IBP data and processes that allow the candidate to make decisions about appropriate data sources, data glossary term definitions and the creation of data quality rules. •Ability to translate business requirements into critical data dependencies and requirements •Ability to think beyond their current state (processes, roles and tools) and work towards an unconstrained, optimized design •Analytical mindset with strong communication skills; able to influence others at all organization levels •Ability to think beyond their current state (processes, roles and tools) and work towards an unconstrained, optimized design •Self-starter who welcomes responsibility, along with the ability to thrive in an evolving organization and an ability to bring structure to unstructured situations •Ability to arbitrate on difficult decisions and drive consensus through a diplomatic approach •Matrix management skills and business acumen •Excellent written & verbal communication skills Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI. We are seeking a highly experienced and client-facing Solution Architect to serve as the senior technical leader for a critical Enterprise Data Platform (EDP) initiative. This role is responsible for driving the successful end-to-end migration of complex source system data into our new, highly governed platform built on AWS and Snowflake. Key Responsibilities Lead the technical discovery, design, and planning phases, effectively translating complex client business needs and requirements into detailed architectural blueprints and robust technical specifications. Design and document the end-to-end data flow and pipeline orchestration, from various source system ingestion patterns (batch and streaming) to the final curated Gold Layer models, primarily utilizing AWS Redshift. Define the canonical data models for the Silver Layer and establish the optimal dimensional models for the Gold Layer, leveraging data modeling tools like Erwin. Provide clear technical leadership and oversight to the engineering and development teams, ensuring alignment with the established architectural vision. Requirements 15+ years of progressive experience in data engineering, data warehousing, and cloud architecture roles. Minimum of 10 years specifically in a client-facing or leadership role designing and implementing large-scale data migration projects. Candidates must demonstrate deep, hands-on experience and architectural proficiency across the following technologies: AWS Services: Amazon EMR (Elastic MapReduce), Amazon S3, AWS Glue, and Amazon Redshift. Data Processing: Expert knowledge in PySpark for large-scale data transformation and processing. Data Warehousing: Proven experience designing and managing scalable data warehouse solutions, specifically using Redshift. Data Streaming: Kafka and/or Amazon Kinesis. Data Warehouse: Hands-on experience with Snowflake. Data Governance & Quality: Experience with tools like DataHub and data quality frameworks such as Great Expectations. Modeling: Advanced data modeling techniques and methodologies. Participate in fast iteration cycles, adapting to evolving project requirements. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting and automated model deployment. Ability to work with a global team, playing a key role in communicating problem context to the remote teams Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you! What You'll Do: * Collaborate with cross-functional teams to design and deploy ML models. * Develop reusable, scalable code for AI/ML applications. * Leverage GCP services to build end-to-end machine learning pipelines. * Optimize models for performance and scalability using Vertex AI.