Data Governance Analyst III

JOB DESCRIPTION

Why GMF Technology?

Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.

Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

About this role:

We are unable to provide any type of visa sponsorship either now or in the future for this role.

• Build and scale the enterprise Data Stewardship model, including onboarding, training, and supporting business stewards.
• Lead Data Governance councils, working groups, and Communities of Practice to drive consistent governance adoption.
• Design and deliver data literacy programs that strengthen understanding of data quality, governance, and responsible usage.
• Maintain and operationalize data policies, standards, and guidelines; coordinate updates and ensure enterprise compliance.
• Improve user experience across DG tools (catalog, glossary, lineage, DQ dashboards) through feedback loops and collaboration with Product Owners.
• Partner with business and risk teams to resolve data quality, ownership, and lifecycle issues.
• Define, measure, and report Data Governance KPIs, creating executive dashboards that highlight program impact.
• Promote a culture of data accountability, transparency, and high quality decision making across the organization.

• Bachelor's Degree in related field or equivalent experience required
• Master's Degree preferred
• 4-6 years of experience in Data Governance, Data Management, or related disciplines.
• 3-5 years of experience leading programs, governance forums, or enterprise initiatives.
• Experience in large enterprises, ideally within financial services or other regulated industries.
• Strong understanding of data governance, data management principles, and data quality best practices.
• Hands on familiarity with metadata management, data lineage, business glossaries, and governance tools.
• Exposure to modern cloud data platforms such as Azure, Snowflake, or Databricks.
• Skilled in program and stakeholder management with the ability to lead cross functional decision making.
• Excellent communication, facilitation, and documentation skills-especially for policies and standards.
• Strong analytical thinking and problem solving capabilities.