Top Senior Data Management Jobs

Lead solution/data architecture for end-to-end enterprise data warehouse implementations including data integration, ETL, data marts, reporting, cubes and MDM. Design architectures using frameworks (Zachman/TOGAF), guide implementation teams, and apply healthcare payer domain expertise. Work with Oracle/DB2/SQL Server and major ETL/BI tools to deliver large-scale reporting and analytics solutions.

Lead implementation of a data governance strategy and roadmap for consolidating source systems into a centralized data warehouse. Define master data, business rules, reference data, and data stewardship processes; publish policies; improve data workflows and quality; enable BI/analytics and provide technical leadership to Tech Ops.

Lead implementation of end-to-end global data governance for domain areas (Product, Customer, Vendor). Run governance council, map data ownership, apply COBIT, drive change management and adoption, create roadmaps and scorecards, prototype and test solutions, represent data governance with cross-functional partners and AI governance, promote data literacy, and manage Precisely Automate Studio and ArcGIS licensing.

Manage a team delivering accurate, timely data reporting for Transfer Agency clients. Build advanced Excel data models (Power Pivot, DAX, Power Query), automate reporting, develop dashboards and KPIs, ensure data quality and governance, and support process improvement and stakeholder reporting needs.

The role involves leading the data governance team, managing IT projects, collaborating with stakeholders, and ensuring continuous improvement of processes. Responsibilities include strategic planning, client management, and optimizing resource utilization, while overseeing governance activities and departmental management.

Lead a team of BI/data developers to build and maintain data models, dashboards, and analytics solutions (Power BI, SQL, Synapse). Drive data governance, partner with stakeholders and security teams, present to leadership, and promote data-driven decision making across the firm.

Lead marketing data automation and reporting efforts: build and maintain Power BI dashboards, automate reporting, integrate marketing and insights data, support AI data-readiness, and partner with Marketing, Finance, and Insights to deliver actionable analytics for planning and post-event analysis.

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 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 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 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 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 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 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.

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.

Manage a team of systems, DevOps, operations, architecture, and application support engineers for data and analytics platforms. Drive process, tooling, KPI measurement, automation, and continuous improvement. Own staff development, performance management, stakeholder engagement, and present team value to business and senior leadership.