Data Analyst Data Governance Jobs in Minnesota (NOW HIRING)

• The Data Governance Lead will build and mature Inspire's enterprise data governance program, establishing the policies, processes, and stewardship practices that ensure data is trusted, governed, and fit for business and regulatory use.

  This role partners closely with business leaders, data owners, data stewards, data engineering and analytics teams to improve data quality, master data, and governance adoption across the organization. The Data Governance Lead will help embed governance principles into data products and engineering processes.

  We are looking for a collaborative, business-oriented data governance leader who can help scale governance practices and AI readiness across Inspire's modern data ecosystem while enabling trusted data products, regulatory readiness, and measurable business outcomes.

  Key Responsibilities

  • Build and mature Inspire's enterprise data governance program, operating model, and stewardship framework.
  • Establish and maintain governance standards, policies, and best practices for data ownership, quality, metadata, lineage, security, data products, and lifecycle management.
  • Partner with business stakeholders to establish data ownership, stewardship responsibilities, governance processes, and critical data elements that ensure accountability for enterprise data assets.
  • Partner with business leaders to define and align organizational KPIs and performance measures that improve visibility into strategic priorities, operational performance, and business outcomes.
  • Serve as the governance representative in technical discussions, providing leadership and guidance on data modeling, metadata, lineage, master data, data quality, and trusted data product design ensuring alignment with governance, quality, and stewardship standards.
  • Lead metadata management, data catalog, lineage, master data, and stewardship initiatives across the enterprise.
  • Facilitate governance councils, stewardship forums, and cross-functional working sessions.
  • Drive adoption of governance practices across business and technology teams through education, engagement, and measurable outcomes.
  • Promote the creation of trusted, well-documented, and reusable data products that support reporting, analytics, decision-making, and emerging AI capabilities.
  • Partner with business leaders, Quality, Privacy, Legal, Regulatory, and Information Security teams to ensure data governance practices support regulatory compliance while enabling business outcomes.
  • Measure and communicate governance program maturity, adoption, and business value.

  Required Qualifications

  • 5+ years of experience in data governance, data management, master data management, data quality, analytics, or a related discipline.
  • Experience building or maturing an enterprise data governance program.
  • Ability to engage effectively with architects, engineers, and analytics teams on topics including data modeling, data integration, data quality, metadata, lineage, master data management, and data product design.
  • Strong ability to influence and drive changes across business and technology organizations.
  • Excellent communication, facilitation, and stakeholder management skills.
  • Strong organizational, analytical, and problem-solving skills with the ability to manage competing priorities in a dynamic, results-oriented environment.
  • Commitment to continuous improvement, practical problem solving, and advancing data governance maturity across the organization.

  Preferred Qualifications

  • Experience with modern Microsoft and Azure data platforms, including Profisee, Purview, Databricks, and Unity Catalog.
  • Experience in a regulated industry such as medical devices, healthcare, life sciences, or other compliance-focused environments.
  • Experience partnering with data engineering and analytics teams to operationalize governance practices.
  • Familiarity with data cataloging, Lakehouse architecture, Medallion architecture, and trusted data products.
  • Experience serving as a business, governance, or product lead for enterprise data platforms and governance technologies.
  • Experience coordinating work with offshore, contractor, or managed services resources.
  • Experience presenting data concepts, risks, metrics, and recommendations to executive stakeholders.
   

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