Data Manager Role

OpenDataJobs • Washington, DC

5h

About The Position

Data Managers run the recurring operations that keep data accurate, current, usable, and available to the people who depend on it. They manage intake, validation, correction, publication, issue handling, service routines, and the handoffs between data producers, technical teams, stewards, and consumers. This is an operating role with responsibility for making the data lifecycle work in practice. Data Managers use metrics, controls, and workflow improvements to reduce avoidable errors and delays, while coordinating with Data Governance Specialists on standards, Metadata Management Specialists on context, and Data Inventory Managers on enterprise coverage. They own execution and continuous improvement of day-to-day data operations.

Requirements

• Experience operating data-quality, data-lifecycle, publication, or data-service processes.
• Working ability with structured data, SQL, validation methods, and reconciliation techniques.
• Experience with workflow design, issue management, service metrics, and continuous improvement.
• Ability to coordinate data producers, technical teams, stewards, and consumers.
• Clear judgment about data accuracy, timeliness, traceability, and operational risk.

Nice To Haves

• Experience with data governance, metadata management, or enterprise data inventory.

Responsibilities

• Manage data-intake, validation, correction, and publication workflows with clear owners and service expectations.
• Manage data-quality checks, reconciliations, issue queues, and root-cause improvement routines.
• Develop operational dashboards and reporting that show timeliness, completeness, accuracy, and unresolved issues.
• Establish working agreements and handoffs among data producers, stewards, engineers, and data consumers.
• Develop repeatable processes for maintaining datasets used in reporting, analytics, or artificial intelligence applications.
• Coordinate data producers, technical teams, stewards, and consumers.
• Maintain reliable source datasets, document changes, and coordinate quality controls across the lifecycle for data-intensive artificial intelligence work.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed