Data Governance & Catalog Lead for AI Systems

Guidehouse; Washington (District of Columbia); On-site; USD 113,000 - 188,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave and Adoption Assistance

Tuition Reimbursement and Learning机会

Job summary

Guidehouse is seeking a data governance leader to drive end-to-end governance programs, including data/AI governance design, Collibra Data Catalog deployment, and operating-model development. You will manage delivery teams, align stakeholders across business and IT, and shape roadmaps that translate strategy into tangible adoption outcomes.

The role emphasizes hands-on implementation, proposal support, and scalable enablement through templates, playbooks, and training to reduce friction and

Qualifications

• Seven (7) or more years of relevant experience with progressive responsibility, including workstream leadership and oversight of junior staff.
• Experience leading client workstreams end-to-end, including planning, facilitation, issue resolution, and executive communications.
• Experience to configure, architect, advise, and perform hands-on implementation of Collibra Data Catalog platform.
• Experience shaping roadmaps and operating models that connect governance to delivery, adoption, and measurable outcomes.
• Experience delivering consulting or client-facing work, including workshops, written deliverables, and stakeholder management.
• Experience with AI governance concepts such as model risk considerations, transparency and documentation, monitoring, and responsible AI practices.

Responsibilities

• 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.
• Advise, present solution and governance alternatives analysis, implement, and operate new Collibra Data Catalog instance.
• Perform hands-on Collibra Data Catalog implementation support, to include leading prioritization of high-value features and work management scoping.
• 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 data 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.

Skills

Governance leadership

Client relationship management

Collibra Data Catalog

AI governance

Data governance

Stakeholder management

Cloud platforms (Azure, Databricks, or

Proposal development

Change management

Training & enablement

Education

Bachelor’s degree

Tools

Databricks Unity Catalog integration

Collibra integration with Databricks

Public sector tooling (Purview/Alation/Informatica/OneTrust)

Job description

Guidehouse is seeking a data governance leader to drive end-to-end governance programs, including data/AI governance design, Collibra Data Catalog deployment, and operating-model development. You will manage delivery teams, align stakeholders across business and IT, and shape roadmaps that translate strategy into tangible adoption outcomes.

The role emphasizes hands-on implementation, proposal support, and scalable enablement through templates, playbooks, and training to reduce friction and