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Remote Data Governance Consultant

Remote / Online - Candidates ideally in
Minneapolis, Hennepin County, Minnesota, 55401, USA
Listing for: Insight Global
Remote/Work from Home position
Listed on 2026-07-02
Job specializations:
  • IT/Tech
    Data Security, Change Management, IT Business Analyst, Data Analyst
Job Description & How to Apply Below

Senior Data Governance Consultant

Our client is seeking a Senior Data Governance Consultant to support the continued expansion of enterprise data governance capabilities across the organization. This role will play a critical part in advancing governance maturity, driving adoption beyond core data platforms, and enabling business-led data quality initiatives—particularly in support of AI and advanced analytics efforts. This is a high-impact, highly visible role requiring strong leadership presence, the ability to influence cross-functional stakeholders, and deep, hands-on expertise in Informatica Cloud Data Governance & Catalog (CDGC) and modern metadata management practices.

Key Responsibilities

  • Lead enterprise-wide data governance strategy execution across business and technology teams
  • Drive adoption of governance standards, policies, and frameworks across a federated operating model
  • Serve as a trusted advisor and coach to data stewards, domain leads, and cross-functional stakeholders
  • Define and govern: authoritative data sources, business glossaries, data definitions, and standards, data quality rules, KPIs, and scorecards
  • Partner with business leaders to shift data quality ownership to domain teams, ensuring alignment with governance practices
  • Facilitate governance councils, domain working groups, and decision-making forums
  • Lead resolution of data conflicts across definitions, sourcing, lineage, and business rules
  • Drive metadata management and data lineage initiatives, ensuring transparency and traceability
  • Collaborate with data quality teams to conduct assessments and audits, identify gaps and risks, and implement remediation strategies aligned to business priorities
  • Act as a liaison between business and technology teams to ensure clear translation of data requirements
  • Support AI enablement efforts by ensuring governed, high-quality, and well-documented data assets
  • Lead training, enablement, and change management efforts to improve governance adoption
  • Contribute to ongoing evaluation and optimization of governance tools and platforms
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