Founding Data & AI Governance Leader

Michels Corporation; Neenah (WI); On-site; USD 120,000 - 180,000; Full time

Job summary

Michels Corporation is seeking an experienced Staff Data & AI Governance Manager in Wisconsin to build and lead enterprise governance practices. You will establish policies, standards, and accountability to make data trusted and usable while enabling controlled AI experimentation.

You will partner with business, operations, and IT to define ownership, governance scope, and risk-based review processes, with a path to growing a dedicated governance team over time.

Qualifications

• 7+ years of experience in data governance, data management, or risk at enterprise scale.
• Bachelor’s degree or equivalent practical experience in a quantitative field.
• Familiarity with modern data platforms and governance tooling; strong communication and stakeholder skills.

Responsibilities

• Build and operationalize Michels' data and AI governance framework with policies, standards, and roles.
• Establish foundational data governance across ownership, stewardship, quality, metadata, lineage, and retention.
• Partner with business, operations, and IT teams to share governance responsibilities across data and AI work.
• Create practical AI governance for use-case intake, risk classification, responsible AI review, and oversight.
• Facilitate governance forums and cross-functional decisions with clear accountability.
• Develop metrics and reporting on data quality, governance maturity, AI adoption, and risk.
• Grow the function from hands-on to leading future governance capabilities and teams.

Skills

Data governance

Stakeholder management

Communication

Risk management

Governance program

Education

Bachelor's degree in CS / IS / BA or related field

Tools

Microsoft Fabric

Databricks

Snowflake

Collibra

Alation

Atlan

Job description

Michels Corporation is seeking an experienced Staff Data & AI Governance Manager in Wisconsin to build and lead enterprise governance practices. You will establish policies, standards, and accountability to make data trusted and usable while enabling controlled AI experimentation.

You will partner with business, operations, and IT to define ownership, governance scope, and risk-based review processes, with a path to growing a dedicated governance team over time.