Data Governance & Data Catalog Lead

Job Family:

Data Science Consulting

Travel Required:

Up to 10%

Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

• 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.

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

What You Will Need:

• Must be able to OBTAIN and MAINTAIN a Federal or DoD “PUBLIC TRUST”.

• Bachelor’s degree obtained.

• 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.

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

What Would Be Nice To Have:

• Experience supporting governance programs in public sector, transportation, and/or other regulated environments.

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

• 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.

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

• Hands-on experience with additional governance and privacy tooling such as Microsoft Purview, Alation, Informatica, OneTrust, Immuta, Datadog, or similar platforms.

• Experience connecting Collibra with other platforms, to include Databricks (Unity Catalog), and onboarding new data assets to the data catalog and metadata ecosystem.

• Experience designing or facilitating AI literacy, adoption, and change management efforts, including training plans and communications.

• Familiarity with modern data platforms and delivery patterns such as Azure, Databricks, Snowflake, lakehouse architectures, and data products.

• Certifications in areas pertaining to data governance, privacy, security, cloud, or analytics.

The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Position may be eligible for a discretionary variable incentive bonus

• Parental Leave and Adoption Assistance

• 401(k) Retirement Plan

• Basic Life & Supplemental Life

• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

• Short-Term & Long-Term Disability

• Student Loan PayDown

• Tuition Reimbursement, Personal Development & Learning Opportunities

• Skills Development & Certifications

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Emergency Back-Up Childcare Program

• Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.