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.

What you'll build
• 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.

Who you are

You are excited by direction that becomes action. You can move from a board-level question to the operating model, investment sequence, and first practical step without losing the reason the work matters.

You test assumptions, write clearly, and make uncertainty visible. You are comfortable advising senior leaders, but you earn credibility by understanding the delivery realities beneath the strategy.

What you bring
• 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.

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Requirements

What openings may require

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.

Benefits

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