Project Manager IT

Role Overview

An opportunity is available for a Project Manager IT to support a global automotive organization in advancing its enterprise AI governance and risk management capabilities. This role is responsible for supporting the establishment and ongoing operation of the enterprise AI governance and risk management framework. The position involves partnering with IT, business, legal, compliance, and security teams to operationalize governance, monitor AI risks, maintain documentation, and enable responsible AI practices across the enterprise.

Location:

Marysville, Ohio (On-site)

Employment Type:

Contract

• Support the design, implementation, and continuous improvement of the enterprise AI governance structure.
• Administer and maintain the AI risk management framework, including policies, standards, controls, and procedures.
• Support the operationalization of AI policies and standards across business and technical teams.
• Support AI system risk assessments across the AI lifecycle (design, development, deployment, operation, and retirement).
• Maintain AI inventories, model documentation, risk registers, and audit artifacts.
• Monitor compliance with internal AI governance standards and external regulations.
• Coordinate governance forums and reviews with legal, compliance, security, and internal audit teams.
• Track AI risk metrics, incidents, and remediation actions, and prepare reports for leadership.
• Support third‑party and vendor AI risk reviews, including due diligence and ongoing monitoring.
• Assist with AI policy training, awareness, and communication to drive adoption of governance practices.

• Education:
  
  Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Information Systems, Risk Management, or a related field.
• Experience:
  
  5+ years of experience in AI/ML, data science, model governance, or technology risk management, with demonstrated experience implementing or operationalizing governance frameworks such as AI governance, model risk management, or data governance.
• Technical
  
  Skills:
  
  Strong understanding of AI risks, including bias, explainability, model drift, data quality, and security vulnerabilities; experience working with AI regulations and frameworks such as NIST AI RMF, EU AI Act, ISO/IEC AI standards, and SR 11‑7 model risk guidance; ability to translate between technical teams and control functions.

• Experience conducting risk assessments, maintaining documentation, and supporting audit readiness for AI or model‑based systems.
• Experience working in highly regulated environments such as automotive, financial services, or healthcare.
• Familiarity with AI governance platforms, model inventory tools, or MLOps ecosystems.