Top Data Management Jobs

Lead and manage BI and Big Data projects with strong project management, AWS, Datastage and DB2 expertise. Collaborate in a global delivery model, apply analytical skills, communicate with stakeholders, and deliver enterprise data solutions.

Lead data governance activities including policy, retention, access, quality, and audits. Drive CEDS implementation, oversee external data requests and training, manage master data calendar, support budgeting, reporting and strategic planning, and maintain the Office of Data Governance website while coordinating with stakeholders and governance boards.

Lead development and implementation of a companywide data governance program: define governance standards, data definitions, business and quality rules, and data accountability. Manage business participation, review and improve operational processes, ensure effective management controls, lead engagements, present findings to senior management, and maintain enterprise documentation in coordination with SVP/VP stakeholders.

Lead design and delivery of metadata-driven ETL pipelines and cloud-native data solutions. Build PySpark/Informatica IICS frameworks, implement Data Vault 2.0 models on Snowflake/AWS, improve data quality and operating model, integrate analytics teams, and support actuarial data use in insurance projects.

The Senior Manager, Data & Analytics designs and implements data solutions, manages projects, and partners with clients to drive transformation initiatives using analytics and AI/ML.

Lead and mentor a data engineering team, define technical vision and strategy, oversee data pipeline design, and collaborate with cross-functional teams.

Lead analytics and insights for Vendor Management by delivering advanced reporting, decision-support analyses, and scalable data solutions. Own data platform reliability, governance, ETL pipelines, semantic layers, and self-service reporting (Tableau/Power BI). Partner with stakeholders and technology teams to translate requirements, automate data curation, and produce executive summaries that drive vendor management decisions.

As a Senior Data Engineer, you will design and maintain data infrastructure, implement ETL processes, and optimize data workflows using Python and PySpark.

The Data Product Manager defines the reporting roadmap, manages KPI alignment, collaborates cross-functionally, ensures data quality, and leads continuous improvement in analytics processes.

Lead product strategy and roadmap for enterprise marketing data products (MDP, Customer 360, conversational analytics). Coordinate data engineering delivery, design scalable data models, improve data governance and quality, modernize cloud-native architectures, and enable AI-ready customer intelligence to support measurement, personalization, and commercial decision-making.

Lead day-to-day execution of enterprise data governance, risk, and privacy programs for payer operations. Operationalize frameworks, enforce controls, drive KPIs, manage audits/compliance (HIPAA, CMS), and partner with stakeholders to mitigate data risks and scale governance practices.

Lead and grow a data engineering team to build a trusted, fast, composable, and self-serve data platform. Define architecture and roadmap for ingestion, transformation, governance, and analytics; ensure reliability, observability, and security; partner cross-functionally with Product, Analytics, Security, and Engineering; be a hands-on player-coach delivering scalable data systems using Snowflake, dbt, and self-serve analytics.

Lead design, build, and operation of data architecture, pipelines, and semantic layers. Manage sprint planning, DevOps metrics, data quality and monitoring, and MLOps enablement. Partner with stakeholders, coach engineers, track project plans, and ensure data availability, accuracy, and documentation.

Lead enterprise data governance and analytics across multiple master data domains. Perform complex data research, design analytical models, maintain metadata and data catalog, manage access and audits, advise stakeholders, standardize critical data elements, and lead cross-functional projects to improve data quality, consistency, and usability.

Lead data governance and analytics across multiple master data domains (Customer, Vendor, Finance, Marketing, HR, Supply Chain). Perform complex data analysis, design data-mining models, develop scalable reporting, manage access controls and audits, maintain metadata and enterprise data catalog, consult stakeholders to standardize critical data elements, and lead cross-functional projects to improve data quality and governance.

Lead global Finance data governance by defining standards, policies, lifecycles, and stewardship for master/reference data (cost centers, GL, hierarchies). Partner with SAP and product teams, drive adoption, monitor data quality, and support analytics, compliance, and transformation initiatives.

Lead and grow a data engineering team; define architecture and standards for ETL/ELT pipelines; hands-on design, code review, and development; ensure production reliability, monitoring, and incident response; partner with product and engineering on data roadmap.

Lead governance and operations for global product master data across supply chain domains. Manage lifecycle, data quality, MSP relationships, process standardization, issue resolution, and support digital transformation and ERP initiatives to ensure accurate, compliant product master data.

Lead design and implementation of scalable integrations and metadata schema for DAM and MarTech ecosystems. Partner with product, engineering, and marketing teams to enable automated content workflows, improve discoverability, ensure data quality and governance, and integrate content metrics with analytics. Drive taxonomy and schema adoption globally and evolve solutions using AI/ML for classification and tagging.

Lead and grow a software data engineering team embedded in performance marketing. Build and maintain data pipelines and production backend architectures, develop full‑stack applications, uplift engineering and data modeling standards, collaborate with media and data science partners, and apply AI/LLM tools. Own CI/CD, cloud compute practices, and deliver scalable solutions for campaign planning and optimization.

Lead analytics, reporting, and data warehouse strategy for Respiratory Health. Build KPI frameworks, oversee data governance and quality, translate business needs into scalable data solutions, drive advanced analytics/AI initiatives, and manage a high-performing BI and data enablement team while partnering with IT, Finance, and Operations.

Manage receipt-based data ingestion (OCR, transcription, email, account connections); ensure pipeline stability and data quality; translate business requirements into collection specs; partner with Engineering and Product; manage vendors, forecasting and budgets; produce KPI reporting; and support EU rollout and GDPR-aligned processes.

Lead a team to turn enterprise data into decision-ready insights: own analytics roadmap, partner with Product/Finance/Engineering, deliver dashboards and models, translate findings for executives, enforce metric governance, modernize reporting, and coach analysts to raise technical and storytelling standards.

Manage sustainability performance data across the North American office portfolio, including utility billing, data quality control, PowerBI dashboards, GHG accounting, reporting (e.g., GRESB), and annual data assurance. Administer data systems and user access, liaise with vendors/utilities, support net-zero plans and sustainability initiatives, and collaborate with property operations and corporate teams on reporting and program implementation.

Build and run an enterprise data governance program: create policies, standards, and controls; establish data use and de-identification programs (HIPAA-compliant); define ownership and stewardship; measure and remediate data quality; maintain governance artifacts; align cross-functionally; report and drive adoption and training.