Why this role stands out
As a Data Governance Specialist, you'll play a crucial role in shaping how data is managed as a strategic asset, offering significant opportunities for impact and professional development within a reputable organization. This hybrid role is ideal for analytical thinkers who excel at stakeholder collaboration and translating policy into actionable operating models. Apply now to leverage your expertise and contribute to robust data management practices.
Quick overview
Job description
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 Governance Specialists establish the decision rights, policies, standards, roles, and measures that help an organization manage data as a strategic asset. They turn broad expectations for quality, stewardship, access, lifecycle management, and accountability into operating practices that people can follow.
The work is organizational as well as analytical. Specialists convene data owners and stewards, define issue-management and escalation paths, measure adoption and data quality, and maintain the governance operating model as mission needs change. They do not own every catalog record or recurring data operation; they set the framework through which those activities are accountable and measurable.
What you'll build
· Data-governance charters, policies, standards, and decision-rights models.
· Stewardship structures, governance forums, issue-management workflows, and escalation paths.
· Data-quality rules, metrics, exception processes, and improvement plans.
· Accountability models that connect data owners, managers, inventory leads, metadata specialists, and technical teams.
· Governance processes for AI system and data risk when the organization uses those systems.
Who you are
You can turn a policy goal into a practical operating model. You bring stakeholders together, make ownership visible, and use evidence to improve adoption instead of treating governance as a document-writing exercise.
You are comfortable at the intersection of data, technology, risk, and mission. You explain why a standard matters, where it applies, and how teams can meet it without losing sight of the work the organization must perform.
What you bring
· Experience designing or operating data-governance, stewardship, or data-management programs.
· Ability to define data standards, policies, decision rights, metrics, and issue-management processes.
· Working knowledge of data quality, metadata, inventories, lineage, and lifecycle concepts.
· Experience facilitating cross-functional governance forums and communicating with technical and business stakeholders.
· Ability to align governance practices with federal data strategy, organizational risk management, and applicable requirements.
What openings may require
Some openings may focus on enterprise governance design, while others may emphasize data quality, records, open data, master data, or specific governance platforms. Federal roles may seek familiarity with the Federal Data Strategy and agency responsibilities for inventories, metadata, standards, and data leadership.
Organizations using AI may need governance practitioners who can define clear accountability, inventories, review processes, and monitoring for system and data risks. The National Institute of Standards and Technology's (NIST) Artificial Intelligence Risk Management Framework (AI RMF) organizes this work around Govern, Map, Measure, and Manage functions, but it does not replace the organization's own decision rights.
Compensation, benefits, work location, and employment terms are set for each specific opening and will be stated with that opening.
Register for Data Governance Specialist Role
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