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Guidehouse

Advises agencies and runs regulated operations

Data Governance & Data Catalog Lead

Data ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Must be able to obtain and maintain a Federal or Department of Defense Public Trust.
  • A bachelor's degree is required.
  • Seven 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 configuring, architecting, advising on, and performing hands-on implementation of the 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 artificial intelligence governance concepts such as model risk considerations, transparency and documentation, monitoring, and responsible artificial intelligence practices.
  • Ability to travel as needed based on client and project needs.

Responsibilities

  • Lead governance workstreams and small delivery teams to design and implement actionable, sustainable data and artificial intelligence governance programs.
  • Own client relationships for the workstream by setting expectations, facilitating executive discussions, and driving alignment across business, information technology, privacy, security, and legal stakeholders.
  • Advise, present solution and governance alternatives analysis, implement, and operate a new Collibra Data Catalog instance.
  • Provide hands-on Collibra Data Catalog implementation support, including 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 artificial intelligence.
  • Define implementation roadmaps connecting strategy to execution, including sequencing, dependency management, change management, and measurable adoption outcomes.
  • Establish artificial intelligence governance and responsible artificial intelligence 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 creation of reusable assets and accelerators.

Desired Qualifications

  • Experience supporting governance programs in public sector, transportation, or other regulated environments.
  • Knowledge of data governance fundamentals, such as data stewardship, data lifecycle, metadata, data quality, privacy, and access controls.
  • A bachelor's degree in a relevant field such as Information Systems, Public Policy, Business, Data or Computer Science, or Engineering.
  • Hands-on experience with additional governance and privacy tools such as Microsoft Purview, Alation, Informatica, OneTrust, Immuta, or Datadog.
  • Experience connecting Collibra with other platforms, including Databricks Unity Catalog, and onboarding new data assets to the data catalog and metadata ecosystem.
  • Experience designing or facilitating artificial intelligence 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.

About the Company

Guidehouse

Advises agencies and runs regulated operations

Guidehouse advises government agencies and companies in regulated industries on strategy, technology and day-to-day operations. Its work combines business advice with software implementation and ongoing management, so a client uses the same firm to plan a change, build the systems and run the resulting processes. Teams modernize cloud platforms, apply data analysis and artificial intelligence, and redesign organizations to meet operating and regulatory requirements. Clients pay for consulting projects and technology work or outsource continuing business functions to its managed services teams. Guidehouse was founded in 2018 and is headquartered in McLean, Virginia.

Company size
10,001+
Company stage
Acquired
Total funding
$750K
Headquarters
McLean, VA
Founded
2018

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