Top Data Management Jobs

The Manager, Data Success Management oversees Data Success Managers, manages data operations, supports partners, improves workflows, and ensures data quality.

The Senior Data Manager/Analyst supports data analysis and project designs for foreign assistance programs, ensuring data quality and developing reporting products.

The Data Operations Sr. Manager leads data operations by managing daily workflows, improving data quality, and collaborating with teams to deliver data solutions. Responsibilities include troubleshooting issues, automating processes, and coaching the operations team while ensuring compliance with healthcare data standards.

Lead and manage an analytics team to design and deliver self-service BI, dashboards, reports, and data warehousing solutions. Define analytics roadmaps and metrics, ensure data integrity, collaborate with cross-functional teams, support end users, and manage project communications to drive measurable business results.

Lead and develop data engineering leadership and teams to deliver scalable enterprise data products and platforms. Own product lifecycle, roadmap, and execution; design scalable pipelines and frameworks; enforce data quality, governance, and observability; partner with stakeholders to align data strategy to business outcomes; evaluate and implement modern data technologies; drive adoption and reliability across domains.

Lead a global, hands-on data engineering team building large-scale Databricks/PySpark pipelines, production datasets, customer-facing data feeds, AI-ready analytical datasets, and data quality/observability systems. Partner cross-functionally, use AI coding tools to accelerate delivery, and ensure operational excellence, reliability, and documentation for investor-facing products.

Lead a data engineering team to design, build, and maintain data warehousing solutions and legacy integrations. Oversee architecture decisions, vendor management, Agile delivery, data quality reporting, platform health, stakeholder communication, and adherence to governance and security standards while mentoring engineers and ensuring project execution.

Lead and mentor a data engineering team to deliver cloud-based data warehouse solutions. Drive architecture, code quality, CI/CD, source control, security, governance (SOX), and vendor coordination while implementing Snowflake, dbt, Matillion, Oracle, and SQL Server-based ELT/ETL pipelines.

Lead a data engineering team to develop and maintain data warehousing solutions, manage legacy integrations, guide architecture and vendor partners, deliver projects using Agile, monitor data quality and platform health, and engage stakeholders to align technical work with business needs.

Lead a new data stewardship and reporting subdepartment to maintain clean member data, coordinate intake/enrollment workflows, oversee contractors/staff, manage reporting and payment data, support cross-team handoffs, design efficient engagement processes, and use engagement data to inform program decisions and funder reporting.

The Admission Data Manager maintains family records, oversees admission testing, manages communication, and ensures a positive experience for prospective families.

The Data Manager oversees data management strategies, drives data governance, and fosters analytics capabilities to enhance decision-making and operational efficiency.

The Data Operations Manager will oversee the scaling of data ecosystems for RL environments, manage contractors, curate datasets, optimize data pipelines, and ensure efficient data throughput and quality.

The Data Engineering Manager leads a team delivering technology solutions, implementing data strategies, guiding technical projects, and ensuring data performance and reliability for analytics and reporting.

The Manager of Data and Analytics will lead a team to implement analytics solutions, ensure data quality, support decision-making, and promote a data-driven culture within the organization.

Manage compensation reporting and analytics: build ETL workflows, automate system tasks, develop interactive Tableau dashboards, validate data quality, partner with technology and HR teams, and produce executive-facing visualizations and insights to support compensation decisions across programs.

Lead operations for a portfolio of enterprise data, analytics, AI and automation platforms. Manage onshore/offshore systems engineers and vendors to deliver 24x7 support, incident management, security/compliance, service level management, continuous improvement, and platform lifecycle activities while partnering with architects and business stakeholders.

Lead and manage a team building and operating enterprise data pipelines, warehousing, and integration solutions. Oversee data architecture, ETL, data quality, governance, BI support, vendor selection, and cross-functional collaboration to ensure reliable, scalable, and secure data for business reporting and decision-making.

Administer and maintain CRM and data systems (EveryAction, Salesforce, BigQuery, CARTO), respond to staff and affiliate data/tech requests, ensure data quality and de-duplication, create and deliver training materials, build network capacity, manage vendor/consultant relationships, and travel occasionally for in-person trainings and support.

As a Senior Manager of Data Analytics & Insights, you'll lead efforts in data transformation into actionable insights for strategic decisions across Talent Acquisition and Management. Responsibilities include designing workflows, creating dashboards, collaborating with leaders for analytics solutions, and mentoring team members.

Manage and enhance sustainability technology solutions (Microsoft Fabric, MSM, ERA), oversee data pipelines, dashboards, integrations, compliance, and cloud infrastructure. Lead change management, maintain documentation and training, troubleshoot data/metric issues, prioritize feature backlog, and mentor potential direct reports supporting sustainability reporting and analytics.

Lead data engineering strategy and delivery for Orthopaedics Supply Chain, modernizing to a Databricks lakehouse. Manage teams, define architecture, enforce governance, implement automated pipeline testing, and partner cross-functionally to deliver reusable, business-ready data products.

Lead market data collection, validation, analysis, and governance across multiple asset classes. Build QA processes, data models, dashboards, and documentation. Partner with engineering, ops, risk, and business teams to resolve data issues, improve workflows, and prioritize enhancements. Mentor and manage a team to deliver high-quality market data, analytics, and reporting.

Manage a team of analysts for PBM analytics, driving insights and scalable data products. Partner with business leaders for effective reporting and analysis.

The Data Manager will develop dashboards, conduct statistical analyses, and support compliance through data management and risk assessments to enhance organizational performance.