Top 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 and manage a remote Data Engineering team to build scalable data pipelines and lakehouse solutions. Own execution of Medallion architecture using Databricks, Boomi/Rivery, dbt, Delta Lake and SQL Server; implement DataOps, CI/CD, observability, and stakeholder intake while growing engineers and improving team maturity.

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.

Manage the Data Science and Analytics team, develop data solutions, ensure data quality, and provide analytics support for business decision making.

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.

Lead design and delivery of modern data warehouses, scalable cloud data pipelines, analytics, and visualizations. Partner with clients to capture requirements, run workshops, prototype AI/ML solutions, present to stakeholders, and manage project workstreams. Support data governance, lineage, DQ dashboards, migrations, and broader data transformation initiatives while mentoring team members and contributing to practice strategy.

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.

The Manager of Data Engineering will oversee data engineering for an investment management firm, focusing on MS Fabric, Azure, and various data processing tasks.

The Data Product Manager will oversee the integration of government data systems into the Ark platform, collaborate across teams, and document technical plans. Responsibilities include developing a data roadmap and understanding customer workflows.

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.

Lead analytics strategy and measurement for DTC channels, build attribution and divisional scorecards, develop governance and self-service BI, generate insights and storytelling, manage CXM data analysts, and partner with marketing, sales, product, and finance to drive data-driven decisions and forecasting.

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.

Manage analytics and reporting for the network: produce scheduled data pulls and dashboards, monitor trends, support ad-hoc requests and quarterly planning, train partners in data use, and translate analysis into actionable recommendations to drive equity and organizational decisions.

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.

Manage and maintain the donor database and advancement systems, process and reconcile gifts, generate reports and dashboards, analyze donor trends, oversee data integrity and security, supervise data staff, support fundraising campaigns, and ensure compliance with privacy and reporting requirements.

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.