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Data Program Manager Role

Job in Washington, District of Columbia, 20001, USA
Listing for: OpenDataJobs
Full Time position
Listed on 2026-08-10
Job specializations:
  • IT/Tech
    IT Project Manager
Job Description & How to Apply Below

Data Program Manager Role

Data Program Managers turn a collection of technical projects into one coordinated program that delivers. They align teams, funding, dependencies, schedules, risks, and decisions across data platforms, analytics, governance, software, and artificial intelligence initiatives where no single workstream can succeed alone.

The work is both strategic and intensely practical. Data Program Managers establish the operating rhythm, maintain an integrated view of scope and commitments, surface problems while options remain open, and give executives and delivery teams status they can trust. They understand enough of the underlying data and technology to test assumptions, challenge estimates, and recognize when a technical issue threatens the program's outcomes.

Integrated program plans that connect work streams, milestones, dependencies, resources, and decision points.

Governance and delivery rhythms that keep owners, risks, issues, and commitments visible.

Benefits and outcome measures that show whether the program is producing mission value, not merely completing activity.

Risk, issue, and dependency practices that drive timely mitigation and precise escalation.

Executive reporting, working-level coordination, and durable documentation that keep a complex program coherent through change.

You like complicated work when the complexity can be made legible. Your meetings end with decisions, owners, and dates, and your plans help people act rather than admire the planning.

You stay calm when several work streams move  can speak with engineers about delivery risk, with executives about outcomes and tradeoffs, and with stakeholders about what will happen next.

A working foundation in program or project delivery across multiple teams, work streams, or vendors.

Experience managing scope, schedules, resources, risks, issues, dependencies, and executive decisions.

Technical fluency in data, analytics, software, cloud, or artificial intelligence sufficient to assess delivery assumptions and consequences.

The ability to establish meaningful performance measures and connect project outputs to program benefits.

Clear written and oral communication, disciplined documentation, and sound judgment in regulated or mission-critical environments.

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