Top Senior Data Management Jobs

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.

Lead and grow a data engineering team to operate and improve platforms powering BI, Snowflake data warehouse, identity resolution, and AWS infrastructure. Own reliability, security, CI/CD, and platform strategy while partnering with stakeholders, adopting emerging tech (including AI), and delivering cost-effective, resilient data solutions.

Lead UKG Pro WFM reporting and analytics to drive adoption, compliance, ROI measurement and AI-enabled forecasting across North America. Build dashboards, ensure regulatory compliance, partner with HR/legal, quantify WFM value, and manage a team of analysts to improve workforce planning and scheduling.

Lead design and operation of an enterprise data platform enabling self-service analytics, trusted data access, and AI-ready data. Deliver reusable domain-aligned data products, drive adoption and data literacy, partner across data governance and engineering, measure enablement outcomes, and manage a high-performing enablement team.

Own the end-to-end data products for Supply Chain: define roadmap, translate stakeholder needs into technical user stories, design scalable data models, oversee ELT/ETL pipelines and BI analytics, ensure data quality/governance, and lead Agile delivery while enabling predictive analytics.

Lead the Consumer Data Engineering team to build and deliver Gold-layer data products within a GCP Medallion architecture. Manage onshore engineers and offshore partners, align technical roadmaps with business priorities (personalization, attribution, omnichannel), ensure architecture standards, enforce code quality and testing, and run agile delivery of data product features.

The Senior Manager, Data Lakehouse leads operations of UMGC's enterprise data strategy, focusing on the Databricks platform, team management, and cross-functional collaboration for analytics initiatives.

Lead science data and knowledge management at Audubon, enhancing data accessibility and usage across various scientific programs while collaborating with IT and Conservation Teams.

Lead enterprise master data strategy, governance, and database architecture. Drive MDM implementations, data integration, quality, automation, change management, and stakeholder training while mentoring team members.

Lead delivery, support, and continuous improvement of enterprise reporting, dashboards, and analytics using Power BI and Microsoft Fabric. Partner with executives and business process leaders to define KPIs, enforce reporting governance and data quality, mentor analysts, manage cross-functional analytics projects, and drive analytics adoption and operational transparency.

The Operations Data Analytics Manager will support strategic operations and supply chain initiatives by solving problems, analyzing data, and collaborating across teams to provide insights for decision-making and project alignment.

Lead a remote US team that builds and operates ETL and migration processes to move legacy EHR data into athenahealth. Oversee Python-based tooling, define source-to-target mappings, ensure HL7/FHIR interoperability and EHI export compliance, drive data quality, automation, documentation, stakeholder alignment, and coach engineers.

Manage a team to build repeatable reports, dashboards, and scorecards; ensure data integrity and support self-service BI users; collaborate with Sales, Marketing, Customer Care and Strategy; design and run A/B and multivariate tests; communicate project status and deliver analytics that drive business decisions.

Own and execute the data platform roadmap powering custodial ingestion, security master, and AI-ready data products. Lead and grow the data engineering team. Design canonical financial models across custodians, ensure data quality, reconciliation, lineage, and governance for regulated datasets, and support AI integrations.

Senior leader responsible for strategy, architecture, and execution of enterprise data engineering. Build and lead a 10-15 person team, design scalable data platforms and pipelines (cloud-native), drive governance, ensure AI/ML-ready data, manage delivery, vendors, SLAs, and M&A integration.

Dual-hatted Program Manager and Data Architect to lead EOIR Enterprise Data Infrastructure. Manage the task order, supervise technical teams, design enterprise data architecture, build ETL/ELT pipelines, enforce governance, deliver analytics and Power BI reporting, ensure compliance with DOJ/FISMA/FedRAMP, and produce program documentation and roadmaps.

This role manages end-to-end data integration operations, ensuring system connectivity and data integrity across various platforms while driving efficiency and managing operational risks.

Lead and grow a data and analytics engineering team to design and own Limble's analytical data infrastructure, reporting framework, data pipelines, and governance. Partner with product to translate analytics needs, enforce SLAs and observability for data freshness and quality, drive architectural decisions, and remain hands-on to review designs and unblock the team.

The Data & Commercial Analytics Manager leads analytics for AMIRI, managing a team to drive commercial performance insights and strategic decisions, ensuring alignment with business objectives while developing scalable analytics solutions and frameworks.

Lead and scale the enterprise data hub: manage the data warehouse, build reliable ingestion and transformation pipelines, implement governance and data modeling best practices, deliver GTM-ready metrics, enable AI/ML use cases, prioritize the data roadmap, and lead/mentor a data engineering team.

Manage Data Manufacturing teams responsible for data operations, oversee project management, establish departmental objectives, and develop senior level staff.

Lead a CX analytics team to solve complex business problems using advanced analytics, modeling, and data visualization. Mentor analysts, build analytics roadmaps and OKRs, communicate insights to senior leaders, and operationalize repeatable analytics to free bandwidth for high-value work.

Lead enterprise data and analytics governance for a federal technology services program, ensuring secure and effective data usage and decision-making support.

Lead the design, build, and scaling of an enterprise data governance platform integrating Collibra, Snowflake, and Databricks Unity Catalog across multi-cloud and on-prem environments. Define governance frameworks for lineage, metadata, quality, access, and compliance; drive API-driven automation, interoperability standards, and adoption; partner with engineering, risk, and business stakeholders to deliver measurable KPIs, roadmaps, and executive reporting.

Lead and grow a Data Engineering & Analytics team to deliver governed, reliable data products. Own data pipelines, dbt models, BigQuery, Airflow, and Python-based tooling; manage intake/prioritization (Jira); advance analytics from reporting to predictive/prescriptive models; ensure PHI-safe practices, stakeholder alignment, and on-time delivery of reports, invoices, and analytics.