Data and AI Governance Specialist

Job Family:

Data Science Consulting

Travel Required:

Up to 10%

Clearance Required:

None

What You Will Do:

• Support data and AI governance programs by helping clients define practical governance structures, roles, decision rights, and operating rhythms.

• Develop key governance artifacts such as policies, standards, playbooks, RACI matrices, intake workflows, and governance committee materials.

• Perform assessments and current-state analysis across data lifecycle, data quality, metadata, privacy, and access controls, then translate findings into clear recommendations and implementation roadmaps.

• Partner with data engineering, analytics, and security teams to align governance requirements to delivery patterns (data products, lakehouse/warehouse, BI publishing, and AI solution delivery).

• Help establish data/AI governance and responsible data/AI practices including use case intake, risk tiering, human-in-the-loop expectations (for AI), model documentation, and ongoing monitoring approaches.

• Contribute to stakeholder engagement by drafting client-ready materials, facilitating working sessions, and documenting decisions and action items.

• Support delivery quality and team rhythms by contributing to sprint planning, backlog refinement, documentation, and status reporting.

Manager (Guidehouse C4)

• Lead governance workstreams and small delivery teams to design and implement data/AI governance programs that are actionable and sustainable.

• Own client relationships for your workstream by setting expectations, facilitating executive discussions, and driving alignment across business, IT, privacy, security, and legal stakeholders.

• Design and operationalize governance operating models including council structures, data stewardship models, decision escalation paths, and integrated controls across data, analytics, and AI.

• Define implementation roadmaps that connect strategy to execution, including sequencing, dependency management, change management, and measurable adoption outcomes.

• Establish AI governance and responsible AI guardrails such as model and use case inventory, risk management workflow, review boards, documentation standards, third-party oversight, and ongoing compliance reporting.

• Institute tactical and functional governance operations and controls that assist in operationalizing program and product-level governance.

• Translate governance needs into scalable enablement including templates, playbooks, training, and communications that improve adoption and reduce operational friction.

• Contribute to growth and pursuits by supporting proposal development, scoping, staffing plans, and the creation of reusable assets and accelerators.

What You Will Need:

Baseline qualifications (C3 and C4)

• Bachelor’s degree in a relevant field (Information Systems, Public Policy, Business, Data/Computer Science, Engineering, or similar).

• Experience delivering consulting or client-facing work, including workshops, written deliverables, and stakeholder management.

• Demonstrated knowledge of data governance fundamentals, such as data stewardship, data lifecycle, metadata, data quality, privacy, and access controls.

• Familiarity with AI governance concepts such as model risk considerations, transparency and documentation, monitoring, and responsible AI practices.

• Strong communication skills with the ability to explain complex topics in clear, practical language and produce polished client-ready outputs.

• Ability to work independently, manage priorities, and deliver high-quality work products in a fast-paced environment.

• U.S. citizen requirement and active or ability to obtain a Public Trust clearance.

• Ability to travel as needed based on client and project needs

Senior Consultant (C3) level expectations

• 3+ years of relevant experience in data governance, data strategy, analytics enablement, privacy support, or technology risk, including direct delivery contributions.

• Ability to draft governance artifacts with limited oversight and support working sessions with client stakeholders.

• Experience helping translate requirements into clear, actionable workplans and delivery backlogs.

Manager (C4) level expectations

• 7+ years of relevant experience with progressive responsibility, including workstream leadership and oversight of junior staff.

• Proven ability to lead client workstreams end-to-end, including planning, f