Enterprise Data Strategy Lead
$112,800–$257,000 year
On-siteMcLean, Virginia, United States
Job Summary
Design and implement effective AI solution architecture and strategy to address client business problems while complying with organizational goals and ethical considerations. Lead cross-functional teams including technical, business, legal, and cybersecurity units to drive enterprise-wide governance outcomes and mature data governance programs. Develop multi-year data management roadmaps, KPIs, and operating models, while defining stewardship models and accelerating domain-level accountability structures. Synthesize complex data governance concepts into clear narratives for executive audiences and influence senior stakeholders with minimal direction. Mentor employees in technical competencies and operate with substantial latitude for unreviewed decision-making on unusually complex problems.
Required Qualifications
- 8+ years of experience in enterprise data strategy, data governance, data management, or data quality
- 5+ years of experience assisting with developing, implementing, and maturing data governance programs, policies, standards, and quality frameworks across complex organizations
- Experience leading and coordinating cross-functional teams such as technical, business, legal, cybersecurity, and change management, to drive enterprise-wide governance outcomes
- Experience developing multi-year data management roadmaps, KPIs, and governance operating models
- Experience defining and accelerating data stewardship models, including domain-level roles, responsibilities, and accountability structures
- Knowledge of industry data governance frameworks such as DAMA DMBOK, and tailoring them for practical enterprise adoption
- Ability to operate at the enterprise-level, influence senior stakeholders with minimal direction, and create executive-ready materials, including presentation decks, decision briefs, strategic roadmaps, and governance scorecards
- Ability to evaluate and prioritize high-value data domains, datasets, and use cases to support business strategy and AI transformation
- Ability to synthesize complex data governance concepts, risks, and dependencies into clear, concise narratives and recommendation pathways for executive audiences such as CIO, legal, cyber, and compliance
- Bachelor's degree
Desired Qualifications
- Experience leading governance councils, working groups, or cross-functional forums to drive decisions and resolve issues
- Experience with AI tooling, agentic AI capabilities, and enterprise AI governance and orchestration
- Experience overseeing multiple concurrent governance initiatives, workstreams, or portfolios
- Knowledge of enterprise technology environments, including cloud architectures, data platforms, and metadata or catalog solutions, to effectively partner with technical teams
- Ability to influence organizational culture around data ownership, quality, and responsible data practices
- Possession of strong communication skills
- Possession of strong facilitation skills
- Possession of strong organizational and project management skills
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