Data Strategist Role

OpenDataJobsWashington, DC

About The Position

The work Data Strategists help organizations decide what their data should make possible and how to get there. They connect mission priorities, operating needs, policy, technology, governance, talent, and investment into a direction that leaders can fund and delivery teams can execute. The strongest strategies begin with evidence. Data Strategists assess the current state, identify the decisions and services that better data could improve, design target capabilities and operating models, and sequence a roadmap that balances early progress with durable change. They stay close enough to implementation to revise the strategy when delivery reveals something the planning did not.

Requirements

  • A working foundation in enterprise data, technology, analytics, digital, or artificial intelligence strategy.
  • Experience assessing capabilities, designing operating models, developing roadmaps, and evaluating investment choices.
  • Enough technical and governance fluency to connect architecture, data management, analytics, security, privacy, and organizational change.
  • The analytical discipline to ground recommendations in evidence and the writing and presentation skills to carry them to executives.
  • The credibility to build alignment across leaders with different incentives, responsibilities, and risk perspectives.

Nice To Haves

  • Openings may focus on enterprise data strategy, artificial intelligence readiness, analytics transformation, cloud and platform direction, governance maturity, workforce capability, or the implementation of federal data policy.
  • Some may sit close to a Chief Data Officer, Chief Information Officer, program executive, or mission leader.
  • Specific openings will state the expected leadership level, strategic domain, technical depth, consulting experience, work location, citizenship, work authorization, background, suitability, clearance, and mission knowledge.

Responsibilities

  • Current-state assessments that expose capability gaps, duplicative investment, unmanaged risk, and unrealized data value.
  • Target-state strategies and operating models that connect governance, platforms, analytics, artificial intelligence, workforce, and mission use.
  • Sequenced roadmaps with priorities, dependencies, investment choices, owners, and measures of progress.
  • Executive briefings and business cases that turn technical choices into clear strategic decisions.
  • Cross-functional alignment among data, technology, privacy, security, legal, mission, and program leaders.

Benefits

  • Compensation, benefits, work location, and employment terms are set for each specific opening and will be stated with that opening
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