Data Governance Consultant (VISA INDEPENDENT CANDIDATES ONLY)

About the Role:

Client advises customers on the people-and-process work that makes Data and AI Governance real. That work has to land on the ground, inside business domains, where governance is actually practiced. The Data Governance Consultant is a hands-on practitioner who works across domains to implement governance programs designed by the client project team and Data Governance Lead.

Data Governance Consultants operationalize stewardship models, run domain-level discovery and prioritization, drive policy adoption, and serve as the connective tissue between strategy and execution.

Key Responsibilities:

• Domain Implementation: Implement governance frameworks (decision rights, stewardship, policies) within specific business domains: finance, customer, product, supply chain, HR, and others.
• Stakeholder Engagement: Run workshops, interviews, and working sessions with business and IT stakeholders to surface requirements, build consensus, and drive adoption.

• Stewardship Operationalization: Identify and onboard data stewards, document role responsibilities, and coach stewards through their first cycles of governance activity.

• Policy Drafting & Adoption: Translate enterprise governance policies into domain-specific procedures; drive adoption through training, documentation, and active facilitation.

• Use Case Delivery: Lead governance use cases end-to-end (issue management, data quality remediation, glossary curation, access reviews) and document the patterns for reuse.

• Metadata Contribution: Partner with the Metadata Governance Lead to populate business glossary, data dictionary, and lineage content for the domains you cover.

• AI Readiness: Assess domain data against the requirements of AI/ML use cases; prioritize the governance work that makes domain data trustworthy for AI consumption.

• Deliverable Production: Produce high-quality deliverables (assessments, roadmaps, runbooks, training materials, presentations) that meet client's standards.

• Knowledge Transfer: Build the client capability so the governance program continues to mature beyond the engagement.

Required Qualifications:

• 5+ years of data governance, data management, or business analysis experience, ideally including consulting.
• Hands-on experience operationalizing governance programs.
• Strong collaboration skills with business and IT stakeholders at multiple levels of seniority.
• Experience working across multiple data domains and the ability to ramp quickly into unfamiliar subject matter.
• Excellent written and verbal communication; ability to produce client-ready deliverables.

Preferred Qualifications:

• Strong facilitation skills with business and IT stakeholders at multiple levels of seniority
• Familiarity with how AI/ML workflows consume domain data and the governance controls required to make that data trustworthy.
• Experience with one or more catalog/governance platforms (tool-agnostic we look for transferable expertise).
• Familiarity with frameworks such as DAMA-DMBOK, DCAM, or EDM Council CDMC.
• Industry experience in life sciences, financial services, healthcare, or other regulated environments.
• CDMP, IQCP, or equivalent credentials.

What Success Looks Like:

By the end of an engagement the Data Governance Consultant will have:

• Completed domain-level discovery, requirements gathering, and prioritization output for the assigned domain(s).
• Translated enterprise frameworks into domain-specific operating procedures and runbooks.
• Operationalized governance within the assigned domain(s), including activating stewards, guiding policy adoption, and establishing a sustainable governance cadence; delivered assigned use cases (issue management, glossary curation, quality remediation).
• Surfaced and prioritized the governance work required to support AI/ML use cases in the domain.
• Built a measurable client capability that sustains the program post-engagement; produced a body of deliverables that meets Client's quality bar.