layiq
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Washington, DC, US
Source: OpenDataJobs careers · View original posting
From OpenDataJobs's posting. “We” and “our” refer to the employer.
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 Inventory Managers establish and maintain the organization’s account of its data assets. They define how assets are identified, registered, assigned an owner, classified for management, and reviewed for completeness, then coordinate the discovery work that keeps the inventory connected to real systems and programs.
The role combines program management, data discovery, and persistent follow-through. Inventory Managers work with data owners, system teams, metadata specialists, and governance leaders to close coverage gaps, reconcile duplicate or stale entries, and report whether the inventory remains current enough to support mission questions and required reporting. They own enterprise coverage rather than the detailed metadata standard or daily data operations.
· Enterprise data-inventory structures, registration criteria, and asset-identification workflows.
· Discovery approaches using surveys, system reviews, interviews, and technical scanning where appropriate.
· Ownership maps linking data assets to accountable programs, systems, and stewards.
· Completeness, currency, duplicate, and gap metrics that direct remediation work.
· Inventory records for AI systems, models, datasets, and dependencies when the organization's governance approach requires them.
Who you are
You are persistent about coverage and ownership. You know an inventory is useful only when it reflects the actual environment, so you test assumptions, resolve ambiguities, and maintain a clear record of what is known and what needs follow-up.
You can coordinate across a large organization without losing the detail. You create practical discovery routines and reporting that help technical teams and leadership see the same data estate.
Federal openings may require familiarity with enterprise data inventories and agency metadata publication practices. Federal guidance describes an enterprise inventory as accounting for data assets across programs and bureaus, with metadata sufficient to support discovery and collaboration.
Some roles may concentrate on open-data inventories, internal data assets, contract-delivered data, or artificial intelligence system inventories. The scope must be explicit: an inventory can point to an asset and its owner, but it is not a substitute for the detailed metadata, governance policy, or operational management of that asset.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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