Data Manager Role

About OPEN Data Jobs

OPEN Data Jobs (ODJ) is built to craft data careers. We connect high-potential data, AI, and software professionals with meaningful work on the cutting edge of the federal sector, and our aim reaches beyond any single opening: to help you understand your strengths, find the right role, and grow throughout your career.

ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead. An Opening is a specific position hiring right now, with a level, a location, and an application. Roles help you see where you fit; from there, there is more than one way to move.

Today, you can apply to any Opening that fits you through our secure application system. You can also register for a Role to express interest in that broader category of work. A Role registration is not an application to every future Opening.

The work

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.

What you'll build

· Data-intake, validation, correction, and publication workflows with clear owners and service expectations.

· Data-quality checks, reconciliations, issue queues, and root-cause improvement routines.

· Operational dashboards and reporting that show timeliness, completeness, accuracy, and unresolved issues.

· Working agreements and handoffs among data producers, stewards, engineers, and data consumers.

· Repeatable processes for maintaining datasets used in reporting, analytics, or artificial intelligence applications.

Who you are

You see recurring work as a system to improve. You can establish a reliable cadence, spot weak handoffs, and use evidence to make data operations more dependable without turning every exception into a new manual process.

You can move between detail and coordination. You are comfortable inspecting data, resolving issues with the people closest to the source, and explaining operational performance to leaders who need a clear view of risk and progress.

What you bring

• · 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.
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Requirements

What openings may require

Openings may specify a data domain, reporting cycle, platform, data-quality tool, or leadership scope. Some may ask for operational responsibility over a team, while others may emphasize hands-on work managing high-volume data intake, remediation, and publication.

Data-intensive artificial intelligence work may require managers who can maintain reliable source datasets, document changes, and coordinate quality controls across the lifecycle. This does not make the Data Manager the owner of the artificial intelligence model, governance policy, metadata standard, or enterprise inventory unless the opening expressly combines those responsibilities.