> Markdown version of [/jobs/ext/3744207-data-governance-data-catalog-lead](https://www.wearedevelopers.com/jobs/ext/3744207-data-governance-data-catalog-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Governance & Data Catalog Lead

- **Company:** Guidehouse Inc.
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $113,000.0 - $188,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Software Documentation, Information Systems, Data Governance, Data Infrastructure, Digital Assets, Information Lifecycle Management, Metadata, Datadog, Snowflake, Information Technology, Collibra, Data Management, Databricks
- **Published:** October 15, 2026
- **Apply:** https://www.thejobnetwork.com/job/data-governance-data-catalog-lead-509977374

## About the Role

* 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.

## Description

* 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