Jobs › Manager, Privacy & Responsible AI Governance
Manager, Privacy & Responsible AI Governance
Role at a glance
- Category
- AI Governance
- Work arrangement
- Hybrid
- Location
- Grand Rapids, MI
- Salary range
- $110,000 to $150,000
- Posted
- Jul 20, 2026
Meijer is hiring a Manager, Privacy & Responsible AI Governance in Grand Rapids, MI. This is a AI Governance role in the governance, risk, and compliance field, with a posted range of $110,000 to $150,000. Review the full details below and apply directly with Meijer.
Develops retail privacy and AI governance policies covering customer loyalty programs, supply chain algorithms, and automated marketing tools. Evaluates customer data collection practices against state privacy laws and internal ethical AI standards. Partners with IT security and legal counsel to assess third-party AI solution
Full responsibilities and requirements are on Meijer's application page.
Apply for this role →Location and market context
This role is based in Grand Rapids, MI on a hybrid schedule. Local candidates benefit from being close to Meijer's teams and regional hiring market, while the hybrid arrangement offers some flexibility. Confirm the exact in-office expectation and any relocation support with the employer.
About AI governance roles
AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Roles like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.
How to position yourself for this AI governance role
Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how Meijer would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.
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