Top Data Management Jobs

Own developer relations for GPU-accelerated analytical data processing: integrate NVIDIA libraries into query engines and OLAP databases, produce rigorous benchmarks, create reference integrations and guides, collaborate with engine architects and NVIDIA product teams to define APIs and roadmap, and drive adoption across open source and commercial projects.

Lead planning, execution, and delivery of large enterprise data and analytics projects. Manage project life cycle, risks, budgets, vendors, stakeholders, and cross-functional teams. Enforce PM best practices, create WBS, produce status/KPI reports, mentor team members, handle escalations and on-call support, and drive process improvements and project closures.

Lead and manage the Data Department to ensure accurate program data, reporting, compliance, and continuous quality improvement. Oversee systems (DYCD Connect, Salesforce), reporting calendars, data quality, audits, analysis, dashboards, staff supervision, training, cross-department coordination, and funder reporting to support program improvement and organizational decision-making.

Lead data strategy and governance for PBM domains: define use cases, validate technical execution, set data quality metrics, empower end-users, standardize processes, allocate resources, and represent domain in stewardship councils to ensure compliant, accessible, and valuable data.

Manage and maintain child and personnel digital files, ensure data quality and integrity in ChildPlus and DOE systems, run and produce reports for dashboards and funders, support compliance with Head Start/DOE/DOH standards, troubleshoot database issues, and collaborate with program and research teams to improve data-driven decision making.

Manage and develop the division's GIS, enterprise databases, asset inventory systems, and Microsoft-based solutions. Lead data governance, BI dashboards (Power BI), field data collection, drone/UAS mapping, and emerging sensor technologies. Supervise technical staff, coordinate with IT and vendors, support grant/compliance reporting, and drive technology strategy for Parks and Natural Resources.

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.

The Clinical Data Manager oversees the quality and integrity of clinical trial data, ensuring compliance with protocols and regulations while collaborating with various teams.

The Senior Manager will lead data analytics and pricing strategies in CAD, improving data processes, analytical workflows, and decision-making capabilities while managing a high-performing analytics team and collaborating with various stakeholders.

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 and perform quantitative analysis and data management to support investment research and portfolio construction. Develop analytical solutions and validation templates using Python, R, VBA, and SQL. Identify and resolve data quality issues, support daily operations and helpdesk requests, collaborate with vendors and stakeholders, assist testing and documentation, and improve processes for financial instrument and managed account data across domestic and international markets.

Lead and execute end-to-end ERP data migrations into Dynamics 365 (F&O and CE) for acquisitions. Define migration strategy, design and run ETL, data mapping, reconciliation, validation, and cutover. Manage a blended team, ensure data quality and governance, and drive automation and continuous improvement across migration processes.

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.

The Master Data Manager will develop data strategies, manage workflows, enhance data quality, and lead data management teams to achieve business goals.

Own regional day-to-day data operations, supervise a Data Coordinator, ensure attendance/enrollment/participant records and partner workflows are accurate and on time, lead data quality, training, and coaching for site teams, support funder reporting and audit readiness, and collaborate with cross-regional peers to maintain consistent data models and standards.

Lead data management and quality for programs serving people experiencing homelessness. Supervise data coordinators, manage HMIS and other databases, conduct audits, ensure contract compliance and HIPAA adherence, produce reports for funders and leadership, provide training and technical assistance, and translate data into actionable recommendations.

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.