Data Architect jobs at Acxiom

Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, or Java. Proficiency with Azure data services, such as Azure Data Lake, Azure Data Factory and Databricks. Expertise using Cloud Security (i.e., Active Directory, network security groups, and encryption services). Proficient in Python for developing and maintaining data solutions. Experience with optimizing or managing technology costs. Ability to build and maintain a data architecture supporting both real-time and batch processing. Ability to implement industry standard programming techniques by mastering advanced fundamental concepts, practices, and procedures, and having the ability to analyze and solve problems in existing systems. Expertise with unit testing, integration testing and performance/stress testing. Database management skills and understanding of legacy and contemporary data modeling and system architecture. Demonstrated leadership skills, team spirit, and the ability to work cooperatively and creatively across an organization Experience on teams leveraging Lean or Agile frameworks.

Role: Microsoft Autopilot and Entra ED Transition Architect Duration: 12+ months Pay rate: W2 Only (NO Third Party) We are seeking a specialist to lead the evaluation and enterprise-wide transition from Hybrid Azure AD Join to cloud-native Entra Join. This role combines deep technical expertise in Microsoft Autopilot, Intune, and Entra ID with strategic planning and execution capabilities to modernize our identity and device management infrastructure. Required skills: Proven experience with Microsoft Autopilot, Intune, and Entra ID (Azure AD) Strong understanding of identity models, including Hybrid Azure AD Join and Entra Join. Experience with Windows 10/11 provisioning, upgrades, and management. Familiarity with Global Protect VPN configuration and troubleshooting. Please send resume ASAP.

Role: Data Engineer / Architect Contract Must Have Skills: Business Intelligence - Data Engineering Data Stage DBT Snowflake SQL JOB DESCRIPTION: Bachelor's degree in Computer Science/Information Systems or equivalent combination of education and experience. Must be able to communicate ideas both verbally and in writing to management, business and IT sponsors, and technical resources in language that is appropriate for each group. Four+ years of relevant IT experience in data engineering or related disciplines. Significant experience with at least one major relational database management system (RDBMS). Experience working with and supporting Unix/Linux and Windows systems. Proficiency in relational database modeling concepts and techniques. Solid conceptual understanding of distributed computing principles and scalable data architectures. Working knowledge of application and data security concepts, best practices, and common vulnerabilities. Experience in one or more of the following disciplines preferred: scalable data platforms and modern data architectures technologies and distributions, metadata management products, commercial ETL tools, data reporting and visualization tools, messaging systems, data warehousing, major version control systems, continuous integration/delivery tools, infrastructure automation and virtualization tools, major cloud platforms (AWS, Azure, GCP), or rest API design and development. Previous experience working with offshore teams desired. Financial industry experience, especially Regulatory Reporting, is a plus.

Role: Data Engineer III Contract Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used. Must Have Skills Data Engineering Excellent communication skills SQL Strategic Thinking Nice To Have DataStage DBT Financial Crimes Experience Snowflake Primary Responsibilities: Design, construct, install, test and maintain data management systems. Build high-performance algorithms, predictive models, and prototypes. Ensure that all systems meet the business/company requirements as well as industry practices. Integrate up-and-coming data management and software engineering technologies into existing data structures. Develop set processes for data mining, data modeling, and data production. Create custom software components and analytics applications. Research new uses for existing data. Employ an array of technological languages and tools to connect systems together. Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project's goals. Install/update disaster recovery procedures. Recommend different ways to constantly improve data reliability and quality. Qualifications: Technical Degree or related work experience Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.) Experience programming and/or architecting a back end language (Java, J2EE, etc)

Must Have PowerBI Snowflake SQL Nice To Have Python and/or SAS Notes: Data Engineer with a few years experience with SQL, DBT, Snowflake, and PowerBI. Cincinnati in person. Primary Responsibilities: Design, construct, install, test and maintain data management systems. Build high-performance algorithms, predictive models, and prototypes. Ensure that all systems meet the business/company requirements as well as industry practices. Integrate up-and-coming data management and software engineering technologies into existing data structures. Develop set processes for data mining, data modeling, and data production. Create custom software components and analytics applications. Research new uses for existing data. Employ an array of technological languages and tools to connect systems together. Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project s goals. Install/update disaster recovery procedures. Recommend different ways to constantly improve data reliability and quality. Qualifications: Technical Degree or related work experience Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.) Experience programming and/or architecting a back end language (Java, J2EE, etc)

Job Title: Teamcenter Solution Architect Job Type: Full-Time | Onsite Job Description: Teamcenter Solution Architect · Understanding of As-Is business processes, coordinate and conduct business workshops · Define To be processed or in a future state as per the business process aligned with product engineering and development. · Solution design and implementing end-to-end solution for Teamcenter application based on requirements · Writing design documents for the Teamcenter capabilities implementation · Supporting application teams in Teamcenter deployments or upgrades. · Supporting application team in migration of Teamcenter client from RAC to Active workspace · Participating as team member in IT Software projects using the Teamcenter platform · Supporting project team by sharing expertise on how to customize Teamcenter efficiently · Identifying and proposing optimizations of existing Teamcenter customization · Learning and teaching design & quality standards for Teamcenter customization and ensuring governance Skills and Experience: · 12+ Years of experience in Implementing Teamcenter PLM Solutions for various customers · Technical knowledge in Teamcenter modules such as Engineering Data Management, Part and Document management, Workflow, Release management, BOM Management, Change Management etc. · Experience in Active Workspace configuration and customization, Teamcenter architecture, and data model configuration. · Skills in mapping business requirements to the PLM/Teamcenter framework. · Teamcenter Solution Designing for both client and server and integration with third-party applications such as SAP4Hana, NX, and ECAD tools. · Experience in installing and configuring 2-tier & 4-tier clients, file management server, dispatcher server & CAD integration, and basic problem-solving skills to resolve application issues, troubleshoot, and conduct root cause analysis. · Teamcenter client customization, Teamcenter server SOA customization. · Declarative UI configuration (Active Workspace) and customization. · Good knowledge of web technologies, e.g., XSLT, HTML, JavaScript, JSON, Teamcenter ITK, SOA programming, web methods & web service architecture. · Strong knowledge of SDLC, Agile, and build to run. · Strong customer focus, including the ability to manage customer needs and multiple work priorities. · Needs strong oral and written communication, analytical, and problem-solving skills, as well as excellent judgment and self-motivation. · Ability to reach out and proactively contribute to other engagements outside of primary engagement · Ability to work independently with little to no supervision.

CBTS is seeking a specialist to lead enterprise transition from Hybrid Azure AD Join to cloud-native Entra Join, modernizing identity & device management. Drive strategic planning & execution for MS Autopilot, Intune, & Entra ID integration, ensuring zero-touch provisioning & compliance. Oversee Windows 10 to Windows 11 upgrade, validating hardware readiness & minimizing disruption. Ensure GlobalProtect VPN compatibility with new configs, collaborating with security & network teams to resolve connectivity issues. Duties Assess & plan migration to Entra Join; develop phased strategy. Design Autopilot profiles integrated with Intune & Entra ID. Execute OS upgrade & coordinate testing/deployment. Validate VPN policies & troubleshoot related issues. Provide technical leadership, define scope, milestones, & communicate risks. Document configurations, processes, & create training materials. Monitor post-deployment performance & optimize environments. Requires Expertise in Autopilot, Intune, Entra ID (Azure AD), & identity models. Strong understanding of identity models, including Hybrid Azure AD Join & Entra Join. Experience with Windows 10/11 provisioning & upgrades. GlobalProtect VPN & PowerShell scripting. Strong understanding of enterprise security & compliance. Proven ability to lead large-scale migrations & recommend improvements.

What We're Looking For: Iridium is seeking a motivated Principal Cyber Architect II to join our Government-focused Cybersecurity Architecture Team supporting a Space Development Agency (SDA) project. As a Principal Cyber Architect II, you'll provide technical leadership and vision for the design, development, and integration of secure cyber architectures across a hybrid space-ground environment. You will ensure mission-critical systems meet stringent cybersecurity, resiliency, and compliance requirements while enabling innovation and operational effectiveness. You'll thrive in this role if you enjoy developing enterprise-level cybersecurity strategies, shaping secure system designs, evaluating risks, and guiding teams through complex technical decisions aligned to mission needs. This position requires an active/current Top Secret Security Clearance (A U.S. Security Clearance that has been active in the past 24 months is considered active). What You'll Do: Validate, design, and evolve secure cyber architectures for classified and unclassified systems supporting space-ground operations Define, document, and communicate cybersecurity architecture roadmaps and implementation strategies Lead design reviews and technical discussions on security architecture, cross-domain solutions, zero trust, encryption, and defensive cyber operations Collaborate with engineering, network, and operations stakeholders to ensure cyber protections are fully integrated and aligned with mission priorities Identify, assess, and mitigate cybersecurity risks across complex system interdependencies Drive modernization efforts by integrating automation, orchestration, and cyber analytics capabilities Stay current on emerging cyber technologies, frameworks, and adversary tactics, and evaluate their applicability to mission requirements What You'll Need to Succeed: Bachelor's degree in Computer Science, Cybersecurity, Electrical Engineering, or related field OR equivalent relevant experience in lieu of degree 12+ years experience in cybersecurity architecture, engineering, or cyber systems design supporting government or mission-critical systems 5+ years supporting cross-domain or multi-enclave government networks Proven ability to develop detailed cyber architecture documentation, risk assessments, diagrams, and presentations Excellent communication skills, with the ability to convey products, deliverables, analyses, and/or issues clearly and confidently, and confidently recognize and adapt to different communication techniques Be a strategic thinker who demonstrates good judgment and decisiveness Be able to analyze a situation or problem and come up with effective solutions Can easily form relationships with military, government, and executive leadership and encourage cross-functional team building The ability to thrive in a dynamic environment by handling multiple tasks according to deadline and budget limitations Be proactive in finding new and enhanced ways of doing things and sharing your knowledge with others Expertise in cybersecurity frameworks and technologies including Zero Trust, NIST RMF, encryption, firewalls, VPNs, SIEM, and secure enclave design Experience with security automation tools, orchestration platforms, and compliance monitoring Things That Would be Great if You Brought to the Table: Active certifications such as CISSP, CISM, CCSP, or equivalent Familiarity with space communications, satellite-ground cybersecurity, or secure space transport architectures Experience integrating Zero Trust solutions, automated compliance tools, and cyber analytics platforms We'll also need you to: Be able to work in the office at least 3 or more days a week to foster collaboration with the team and stakeholders Be on call with the ability to support virtual meetings across various timezones Be able to travel up to 15% to various Iridium/partner sites This position directly performs under, supports, or is exposed to a U.S. government contract. To comply with the requirements of Iridium's U.S. government contracts, applicants for this position must be U.S. citizens. Work Environment: This position primarily works in an office setting and is largely sedentary with the majority of the position working with a computer. The role typically requires the use of basic office equipment such as a phone, video, computer, keyboard, mouse, and printer. Iridium is an Equal Opportunity Employer, including individuals with disabilities and protected veterans.

Bachelor s degree or equivalent in Computer Science, Mathematics, Software Engineering, Management Information Systems, Computer Engineering/Electrical Engineering, or any Engineering field or quantitative discipline such as Physics or Statistics. Minimum 6 years of relevant work experience in data engineering, with at least 2 years in a data modeling. Strong technical foundation in Python, SQL, and experience with cloud platforms (for example, AWS, Azure,). Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies. Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI). Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment. Good communication, interpersonal, and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences. ADDITIONAL SKILLS AND OTHER REQUIREMENTS Nice to have skill set include: Agile experience Dataiku Power BI

Dallas - Hybrid (3-days onsite) We are seeking an experienced technical leader to manage a team of architects focused on high-performance computing (HPC) solutions. This position involves guiding customers through the full solution lifecycle, from initial requirements to deployment and optimization, while ensuring architectures are secure, scalable, and tailored for complex workloads. Key Responsibilities: Lead and mentor a team of architects across compute, storage, networking, Kubernetes, and security domains. Design and implement reference architectures and best practices for HPC environments. Oversee proof-of-concept initiatives and validate performance for advanced workloads. Stay current with emerging technologies such as GPU acceleration, orchestration frameworks, and distributed storage systems. Engage with customers to translate technical requirements into optimized solutions. Represent the organization in technical workshops and industry forums. Required Qualifications: 10+ years in HPC, solutions architecture, or large-scale distributed systems. 3+ years in technical leadership, managing multi-disciplinary teams. Expertise in compute, storage, networking, Kubernetes, and security. Hands-on experience with GPU acceleration (CUDA, NVIDIA), workload schedulers (Slurm, Kubernetes), and distributed storage systems. Strong communication skills for both technical and executive audiences. Preferred Skills: Experience delivering HPC or AI/ML workloads at scale. Familiarity with data platforms (Kafka, Spark) and DevOps tools (Terraform, Ansible, CI/CD). Advanced technical degree and relevant certifications (AWS, Azure, GCP, Kubernetes, etc.).

Job Title: Enterprise Architect (Modernization and AI) with Next Gen Software Solutions LLC Work Schedule: 5 days a week onsite Experience:12+ Years Position Overview The Enterprise Modernization Architect is responsible for leading the transformation of legacy IT systems into modern, scalable architectures. This role involves assessing current infrastructures, designing modernization strategies, and overseeing the implementation of cloud-native solutions, microservices, and other contemporary technologies to enhance efficiency, agility, and innovation within the enterprise. Key Responsibilities Collaborate with stakeholders, leadership, to understand business requirements for modernization. Develop target-state architectures utilizing modern paradigms such as microservices, containerization (e.g., Docker/Kubernetes), computing, APIs, and private cloud platforms (OpenShift). Lead the technical delivery of modernization projects from planning through execution, ensuring alignment with enterprise standards, quality benchmarks, and risk mitigation. Evaluate emerging technologies and adoption of AI. Provide architectural governance, conduct design reviews, and mentor development teams to ensure adherence to best practices and standards. Prepare proposals, technical documentation, architecture diagrams, and presentations for RFPs, stakeholder workshops, and internal training. Monitor project progress, apply corrective measures as needed, and synchronize IT systems with evolving business needs. Required Qualifications Bachelor's or master's degree in computer science, Information Systems, or a related field. At least 5 years of experience in enterprise architecture, with a minimum of 2-3 years focused on application modernization, cloud transformations, or legacy system upgrades. Strong expertise in legacy systems (e.g., monolithic applications, client-server architecture) and modern technologies (e.g., microservices, containers, DevOps practices, CI/CD pipelines). Familiarity with application assessment tools, migration frameworks, and observability practices. Excellent analytical, problem-solving, and communication skills, with the ability to present complex technical concepts to non-technical stakeholders. Preferred Qualifications Experience with AI-driven modernization techniques, domain-driven design, agile methodologies, and compliance frameworks. Prior involvement in large-scale digital transformation projects. Exposure to Credit Card domain a plus. About Next Gen Software Solutions LLC: Next Gen Software Solutions is a trusted provider of IT Staffing and consulting services dedicated to empowering businesses with cutting-edge technology solutions and exceptional talent. We specialize in delivering tailored IT consulting services, innovative software solutions, and connecting businesses with highly skilled IT professionals. Founded and led by a dedicated U.S. Army solider, Next Gen Software Solutions is deeply rooted in the core values of integrity, discipline, commitment, and experience-principles that guide every aspect of our operations. Equal Employment Opportunity Statement: Next Gen Software Solutions LLC is an Equal Opportunity Employer. We are committed to fostering an inclusive and diverse workplace where all employees and applicants are treated respect and dignity. We do not discriminate based on race, colour, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, genetic information, veteran status, or any other legally protected characteristic under applicable federal, state, or local laws.

We're working with a Series A health tech start-up pioneering a revolutionary approach to healthcare AI, developing neurosymbolic systems that combine statistical learning with structured medical knowledge. Their technology is being adopted by leading health systems and insurers to enhance patient outcomes through advanced predictive analytics. We're seeking Machine Learning Engineers who excel at the intersection of data science, modeling, and software engineering. You'll design and implement models that extract insights from longitudinal healthcare data, balancing analytical rigor, interpretability, and scalability. This role offers a unique opportunity to tackle foundational modeling challenges in healthcare, where your contributions will directly influence clinical, actuarial, and policy decisions. Key Responsibilities Develop predictive models to forecast disease progression, healthcare utilization, and costs using temporal clinical data (claims, EHR, laboratory results, pharmacy records) Design interpretable and explainable ML solutions that earn the trust of clinicians, actuaries, and healthcare decision-makers Research and prototype innovative approaches leveraging both classical and modern machine learning techniques Build robust, scalable ML pipelines for training, validation, and deployment in distributed computing environments Collaborate cross-functionally with data engineers, clinicians, and product teams to ensure models address real-world healthcare needs Communicate findings and methodologies effectively through visualizations, documentation, and technical presentations Required Qualifications Strong foundation in statistical modeling, machine learning, or data science, with preference for experience in temporal or longitudinal data analysis Proficiency in Python and ML frameworks (PyTorch, JAX, NumPyro, PyMC, etc.) Proven track record of transitioning models from research prototypes to production systems Experience with probabilistic methods, survival analysis, or Bayesian inference (highly valued) Bonus Qualifications Experience working with clinical data and healthcare terminologies (ICD, CPT, SNOMED CT, LOINC) Background in actuarial modeling, claims forecasting, or risk adjustment methodologies

We are seeking a highly experienced Domain Architect-Data Scientist with deep expertise in telecom services, AI/ML, and data management to drive the delivery of data products, intelligent cognitive use cases, and Autonomous Network solutions for Communication Service Providers (CSPs). The role requires strong technical skills, telco domain knowledge, and the ability to engage with both executive and technical stakeholders in a services environment. You Have: Bachelor's/Master's in Computer Science, Statistics, Data Science, Mathematics, or related field. 15+ years total experience, including 10+ years in telecom domain and 5+ years in AI/ML & cloud technologies. Strong knowledge of telecom network data (OSS/BSS, CDRs, performance, fault, CX data). Expertise in Python, SQL, PySpark, TensorFlow/PyTorch, Scikit-learn. Hands-on experience with Vertex AI, Red Hat OpenShift AI, Kubeflow, and Kubernetes. Awareness of Generative AI, LLM-Ops, and Agentic AI applications in telecom. MLOps: MLflow, Kubeflow Pipelines, ArgoCD, GitOps. It would be nice if you also had: Ab-intio data management platform Familiarity with network automation, service assurance, and intent-based networking. Exposure to standards: 3GPP, TM Forum Pre-sales experience: RFPs, solution demos, customer workshops. Knowledge of Data Mesh, Data Fabric, and MLOps frameworks. Experience with Snowflake, Databricks, Kafka, Flink, Airflow. Visualization: Tableau, Power BI, Grafana. Design, develop, and deliver AI/ML use cases tailored for Autonomous Networks (AN), driving innovation in telecom automation. Build and manage cognitive data products and frameworks that support large-scale AI/ML deployments across telecom environments. Research and apply advanced machine learning techniques to enhance existing systems and solve complex, novel challenges. Collaborate with CSP customers to translate business requirements into scalable, data-driven solutions. Implement end-to-end ML pipelines using platforms such as Vertex AI, Red Hat OpenShift AI, and Kubeflow. Manage the full data lifecycle-from ingestion and feature engineering to model training, deployment, and monitoring. Establish robust frameworks for model performance tracking, drift detection, and automated retraining. Ensure all solutions are aligned with industry standards including 3GPP, TM Forum, and CSP frameworks. Support pre-sales activities, including RFP responses, proof-of-concepts (PoCs), and customer demonstrations. Contribute to reusable assets and delivery accelerators, enhancing the scalability and efficiency of AI/ML use case implementations. Provide strategic direction for identifying new business opportunities and evaluating emerging technology solutions. Act as a senior subject matter expert in data science and machine learning for Autonomous Networks, guiding delivery teams and influencing solution strategy.

The Principal Data Platform Architect will be focused on revolutionizing healthcare through AI and generative AI technologies. This role will be instrumental in architecting a healthcare analytical data platform to support the development of a variety of healthcare applications, and deployment of AI models. The Principal Data Platform Architect will play a critical role in transforming healthcare data into actionable insights, ensuring compliance with industry standards while leveraging cutting-edge technologies. Data Engineering & Pipeline Development: Collaborate with the business analysts and data architects in the design and build of a comprehensive common healthcare analytical data model following modern data architecture principles Design, implement, and optimize ETL/ELT pipelines to support data ingestion and transformation from diverse healthcare data sources. Develop and maintain scalable data pipelines for real-time and batch processing to meet traditional BI application and advanced AI/ML needs. Work with structured, semi-structured, and unstructured data to create usable datasets for reports and dashboards along with AI model training and deployment. Database Management: Manage and optimize a variety of databases, including Postges, NoSQL, graph databases, and cloud-based databases like Snowflake and Redshift. Ensure efficient storage, retrieval, and integration of data across different systems. AI Integration: Collaborate with data scientists and AI engineers to create datasets for a variety of use cases. Implement data annotation, curation, and augmentation techniques to enhance data readiness for AI/ML applications. Healthcare Data Expertise: Apply knowledge of healthcare data standards such as HL7 and FHIR, ensuring adherence to HIPAA compliance and other regulatory requirements. Address challenges related to unstructured data extraction and large-scale data ingestion in EMR/EHR systems. Collaboration & Innovation: Work closely with cross-functional teams, including healthcare specialists, to understand and address data needs. Ensure data quality, integrity, and security, especially when dealing with sensitive healthcare data. Continuous Improvement: Stay updated with emerging technologies and frameworks in data engineering, AI, and healthcare. Contribute to the continuous improvement of processes and tools within the data engineering team. Perform other duties that support the overall objective of the position. Education Required: Bachelor's degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field. Or, any combination of education and experience which would provide the required qualifications for the position. Experience Required: 10+ years of proven experience as a technical lead or manager on projects following modern architectural paradigms such as Data Lake, Data Lakehouse, and Data Mesh for high volume analytics. Hands on experience with ETL/ELT development using tools such as dbt, Fivetran, Spark, Snowpark including orchestration via Airflow or similar. Hands on experience orchestrating data pipelines in implementing star-schema data models for traditional BI applications Experience working with cloud platforms like AWS, Azure, or Google Cloud. Knowledge, Skills & Abilities: Knowledge of: Familiarity with big data frameworks such as Apache Spark, Kafka, and Hadoop. Knowledge on preparing and managing datasets for AI/ML model training and deployment. Understanding of data processing for voice, image, and text-based AI solutions. Familiarity with healthcare data standards and interoperability protocols. Knowledge of EMR/EHR systems and healthcare data management challenges. Skill in: Strong programming skills in Python, and/or Scala,/Java, and SQL. Excellent problem-solving and debugging skills. Strong communication and collaboration abilities to work with diverse stakeholders. Ability to: Handle diverse data types and ensuring scalability in a complex environment. The company has reviewed this to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate. NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Join a high-performing, tight-knit team at a fast-growing company that is using the Internet of Things (IOT) to transform how organizations sense, monitor, and make decisions. Founded out of MIT in 2005, Smart Sense is trusted by more than 2,000 organizations, including Walmart, SpaceX, Apple, CVS Health, Coca-Cola, and the US State Department to help them make sensor-driven decisions. We have a solution that our customers rely on every day to make mission critical decisions; we are looking for team-oriented change agents to help shape the future of IOT. Position The Customer Success Operations Analyst plays a key role in enabling our Customer Success organization to operate with precision, efficiency, and insight. This role partners closely with Customer Success Managers, Leadership, Product, Sales, and Support to ensure our customer data, processes, systems, and reporting are accurate, scalable, and aligned to business goals. The ideal candidate has a strong analytical mindset, experience with SaaS workflows, and a passion for improving outcomes for both customers and internal teams. What We Offer * A fun, fast paced team that turns data into valuable information * Opportunity to work with market leaders in the healthcare/pharmacy, food service and transportation industries What You Will Do Data Integrity & Reporting * Maintain and improve customer data quality across systems (NetSuite, Totango, etc.) * Monitor customer health metrics and support the development of predictive scoring models. * Build dashboards and automated reporting to provide real-time insight into customer engagement, product adoption, and renewal risk. Process Optimization * Analyze current CS workflows to identify inefficiencies and gaps; design playbooks and process improvements. * Develop SOPs and documentation to ensure consistent execution across the Customer Success team. * Create and maintain standardized tools such as onboarding checklists, renewal playbooks, escalation paths, and success plans. Systems Administration & Automation * Administer Totango * Implement automations to reduce manual administrative work for CS Team. * Lead testing and rollout of new Totango capabilities, integrations, notifications, and workflows. Cross-Functional Collaboration * Facilitate data and insights sharing between CS, Product, Sales, and Support. Analyze customer feedback and operational trends to identify product improvement opportunities. Who You Are and What You Bring * 2+ years experience in Customer Success Operations, RevOps, Business Analytics, or a related SaaS operational role * Strong data analysis skills and ability to translate insights into actionable recommendations * Hands-on experience with at least one Customer Success platform (Totango, Gainsight, PlanHat, ChurnZero, etc.) * Proficiency in Excel/Sheets and familiarity with data visualization tools (Power BI, Tableau, Looker, etc.) * Excellent written and verbal communication skills; able to explain complex data in clear, business-relevant terms Desired But Not Required * Experience with CRM systems (NetSuite, HubSpot) * SQL familiarity or comfort working with structured data/backend tables * Knowledge of SaaS customer lifecycle frameworks (onboarding, QBRs, renewals, churn mitigation) * Please note that we are unable to provide visa sponsorship for this position. This includes, but is not limited to, work visas, employment-based visas, or residency sponsorship. Candidates must have valid work authorization in the United States at the time of application. Visa applications of any kind will not be considered. Digi International offers a distinctive Total Rewards package including a short-term incentive program, new hire stock award, paid parental leave, open (uncapped) PTO, and hybrid work environment in addition to our competitive medical, health & wellbeing and compensation offerings. The anticipated base pay range for this position is $63,000 - $99,000. Pay ranges are determined by role, job level and primary job location. The range displayed reflects the reasonable range we anticipate paying for this position and reflects the cost of labor within several U.S. geographic markets. The specific salary offered within the range will depend on various factors including, but not limited to the candidate's relevant and prior experience, education, skills, and primary work location. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each position. Pay ranges are typically reviewed and updated annually. At Digi, we embrace diversity and inclusion among our teammates. It is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. We are committed to providing an environment of respect where equal employment opportunities are available to all applicants and teammates.

Great Plains Communications is looking for an experienced and highly performing Data Architect to join our growing team. This position can be remote. Must be willing to travel to the Blair, NE corporate office occassionally as needed. Duties include but are not limited to: Designs and implements data architecture solutions to meet business requirements and technical specifications. Implements data integration solutions to facilitate data movement, transformation, and synchronization across systems. Manages PostgreSQL databases, including database design, configuration, optimization, and performance tuning. Plans, manages, and directs Snowflake's data warehouse architecture and operations. Monitors and maintains database security, access controls, and data encryption mechanisms to protect sensitive information. Creates and maintains documentation for data architecture designs, configurations, and best practices. Collaborates with cross-functional teams to understand data requirements and translate them into actionable design specifications. Collaborates with the Data Governance team that will monitor and audit data processes to ensure compliance with data governance policies. Provides technical leadership and guidance to data management teams, developers, and other stakeholders. Develops and enforces policies for data lifecycle management, including data retention, archiving, and disposal. Works with database administrators to implement and optimize physical data models. Collaborates with DevOps and Infrastructure teams to ensure reliable deployment and monitoring of data services. Collaborates with cross-functional teams to understand data needs and sources and translates them into effective data models. Designs optimal table layouts, including strategies for partitioning, clustering, and indexing. Creates and maintains comprehensive Entity-Relationship Diagrams (ERD) to visualize data entities, attributes, and relationships. Designs data integration solutions to consolidate data from multiple sources into a unified model to eliminate redundancy and ensure data integrity. Translates logical models into physical data models tailored for specific database management systems (DBMS) like SQL Server, Oracle, or PostgreSQL. Defines and manages schema structures, naming conventions, and database organization in Snowflake. Defines database schema, tables, indexes, and constraints to optimize performance and storage. Maps data from source systems to target systems, ensuring consistency and accuracy. Develops and documents data mapping specifications for ETL (Extract, Transform, Load) processes. Develops and maintains a data dictionary that provides detailed descriptions of data elements. Manages metadata to ensure data models are well-documented and easily understood by stakeholders. Communicates data modeling concepts and designs effectively to both technical and non-technical audiences. Validates data models by conducting thorough testing and quality assurance checks. Stays updated with industry best practices, trends, and tools in data modeling and architecture. Continuously refines and improves data models to adapt to changing business needs and technologies. Develops and enforces a data classification framework and access policies to protect sensitive information. Collaborates with stakeholders to assess data sensitivity and implement security controls and role-based access. Conducts audits, provides training, and ensures compliance with industry regulations and evolving standards. Designs data infrastructure that supports AI, ML, and advanced analytics use cases. Builds secure, scalable pipelines that integrate AI while ensuring governance and compliance. Identifies innovation opportunities and aligns data strategies with business goals. Performs other related duties as assigned by management. Bachelor's degree or comparable experience and/or training in Computer Science, Information Technology, or related field 5+ years of experience in data architecture, data modeling, and database management Certifications in data architecture, database management, or related fields are a plus Experience in the telecommunications sector desirable For applicants in CO, the payscale is $90-120k DOE. If you are ready to take your career to the next level and make a difference in the lives of customers and your team, we want to hear from you! Join us at Great Plains Communications, where your expertise will help create superior customer experience and a positive work environment. Apply today and be part of a team that values excellence and growth! Competitive salary and benefits provided. To apply, visit ********************* or click apply High-performing network, high-performing people. Great Plains Communications is the leading fiber-driven technology provider in the Midwest, delivering fast, reliable solutions including high-speed internet and a full suite of residential and business services to nearly 200 communities across Nebraska, Colorado, Iowa and Southeast Indiana. Powered by our 19,000-mile MEF-certified, high-capacity network, we provide state-of-the-art connectivity to homes, businesses and carriers backed by custom-built strategies, expert engineering and local support. What sets us apart? An unwavering commitment to customer experience. From design to deployment, maintenance and beyond, our local experts craft tailored solutions and deliver personalized, ongoing support to keep communities seamlessly connected.

Apply now Back to search results Job no: 534869 Work type: Hourly Wage/Part-Time Senior management: President Department: Athletic Department Job Description The Virginia Tech Department of Athletics embraces the core values of Integrity, Service, Honor, Excellence, and Strong Together. Guided by our motto, Ut Prosim (That I May Serve), we are committed to fostering a culture that accepts, affirms, and values all individuals and their unique contributions to the department, university, and broader community. Data Science and Analytics Coordinator. Reporting to the Senior Associate Athletic Director for Revenue, this position plays a vital role in advancing data-informed decision-making across multiple areas of the athletics department, including ticketing, marketing, performance evaluation, and strategic planning. Leverages advanced analytical tools to generate actionable insights that drive operational efficiency, revenue growth, and competitive excellence. Position will collaborate across departments, supporting both business and on-field performance initiatives while maintaining a high standard of accuracy and integrity in data management and reporting. Required Qualifications Relevant experience in data analytics, business intelligence, or sport performance analysis. Advanced proficiency in Microsoft Excel and experience with data visualization platforms (e.g., Tableau, DOMO). Advanced proficiency with Python, R, or a related language. Strong analytical, organizational, and problem-solving skills with a high level of attention to detail. Proven ability to manage multiple projects, meet deadlines, and communicate complex findings clearly to non-technical audiences. Demonstrated ability to work collaboratively across teams in a fast-paced, results-driven environment. Preferred Qualifications Bachelor's degree in Mathematics, Economics, Statistics, Business, Sports Management, or a related field. Experience working within intercollegiate athletics or professional sports organizations. Familiarity with ticketing systems, CRM tools, and revenue optimization models. Experience conducting statistical evaluations for team or player performance. Leadership or supervisory experience in mentoring student interns or part-time staff. Pay Band 3 Overtime Status Non-Exempt: Eligible for overtime Appointment Type Regular Salary Information Commensurate with experience. Hours per week Up to 29 Review Date 11/27/26 Additional Information SEE MORE ABOUT WORKING IN VT ATHLETICS AT ****************************** The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Stuart Cochran at ************* during regular business hours at least 10 business days prior to the event. Advertised: November 18, 2025 Applications close:

We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Responsibilities Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Acquire data from primary or secondary data sources and maintain databases/data systems Identify, analyze, and interpret trends or patterns in complex data sets Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems Work with management to prioritize business and information needs Locate and define new process improvement opportunities Requirements and skills Proven working experience as a Data Analyst or Business Data Analyst Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Adept at queries, report writing and presenting findings BS in Mathematics, Economics, Computer Science, Information Management or Statistics

We are seeking a highly skilled and experienced Expert Workfront Architect (Adobe Practice) to join our dynamic professional services team. The ideal candidate will be responsible for designing, implementing, and maintaining Adobe Workfront solutions to streamline project management processes across the organization. You will work closely with stakeholders to understand business needs, design system integrations, and ensure the platform meets evolving project management requirements for clients DUTIES AND RESPONSIBILITIES Solution Design and Architecture: Develop and implement comprehensive Adobe Workfront solutions to meet business needs. Design system architecture, integrations, and workflows using Workfront Fusion to optimize project management processes. Ensure the scalability, performance, and security of the Workfront platform. Stay updated with the latest Adobe Workfront releases and features to recommend improvements. Implementation and Configuration: Configure Adobe Workfront based on best practices and business requirements, utilizing features like scenarios, modules, and routes. Oversee the implementation of new features, enhancements, and system updates. Collaborate with cross-functional teams to ensure seamless integration with other enterprise systems using connectors and APIs. Stakeholder Engagement: Work closely with business leaders, project managers, and other stakeholders to gather requirements and translate them into technical solutions. Provide expert guidance and training to users to maximize the platform's effectiveness. Conduct regular reviews and assessments to ensure the platform meets the organization's needs. Documentation and Reporting: Create and maintain detailed documentation of system configurations, processes, and procedures, including documentation of scenarios, modules, and routes in Workfront Fusion. Develop and deliver reports and dashboards to provide insights into project performance and resource utilization. Ensure compliance with internal policies and industry regulations. Technical focus areas: Scenarios: Configure Workfront and Workfront Fusion to automate tasks and processes by defining a series of actions and their triggers. Modules: Building blocks in scenarios that perform specific actions, such as creating tasks, updating records, or sending notifications. Routes: Paths that data follows within a scenario, determining how information flows from one module to another. Connectors: Pre-built integrations that enable Workfront to communicate with other systems and applications, facilitating seamless data exchange. APIs (Application Programming Interfaces): Tools that allow different software systems to communicate and share data, enabling integration and automation. Qualifications Bachelor's degree in Computer Science, Information Technology, or related field. Minimum of 5 years of experience working with Adobe Workfront, including system configuration and implementation. Adobe Workfront certification (Professional Developer Core and/or Fusion, or Expert Developer) Proven experience in designing and implementing project management solutions. In-depth knowledge of Adobe Workfront architecture, features, and functionalities. Experience with system integrations using Workfront Fusion, connectors, and APIs. Proficiency in database management and scripting languages is a plus. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Strong organizational and time management skills. Preferred Qualifications Experience in a similar role within a large organization. Familiarity with Agile project management methodologies. Knowledge of other Adobe products and services (e.g., Adobe Content Supply Chain) Primary Location City/State: Homebased - Conway, Arkansas Additional Locations (if applicable): Acxiom is an equal opportunity employer, including disability and protected veteran status (EOE/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status. Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here. Attention Colorado, California, Connecticut, Maryland, Nevada, New Jersey, New York City, Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact ******************.