Enterprise Data Strategy Lead

Booz Allen Hamilton•McLean, VA

1d•Remote

About The Position

Design and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs, while complying with the organization’s strategies and business goals, and key ethical considerations. Apply leading-edge principles, theories, and concepts, and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision, and mentor or supervise employees in both company and technical competencies.

Requirements

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

Nice To Haves

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
DAMA-DMBOK Certification

Responsibilities

Design and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs.
Comply with the organization’s strategies and business goals, and key ethical considerations.
Apply leading-edge principles, theories, and concepts, and contribute to the development of new principles and concepts.
Work on unusually complex problems and provide highly innovative solutions.
Operate with substantial latitude for unreviewed action or decision.
Mentor or supervise employees in both company and technical competencies.
Develop multi-year data management roadmaps, KPIs, and governance operating models.
Define and accelerate data stewardship models, including domain-level roles, responsibilities, and accountability structures.
Evaluate and prioritize high-value data domains, datasets, and use cases to support business strategy and AI transformation.
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.