AI Governance Product Manager - Associate

Testing Site - JPMC; Jersey City (NJ); On-site; USD 88,000 - 162,000; Full time

Job summary

JPMorganChase & Co. in Jersey City, NJ seeks an AI Governance Product Manager- Associate to translate governance policies into user-friendly AI/Data features. You will work with data scientists, engineers, legal, and compliance to apply responsible AI practices across the firm.

The role emphasizes collaboration with cross-functional teams, risk assessment, and staying ahead of regulatory changes to ensure compliant AI/ML development within the organization.

Qualifications

• 3+ years of product management, technology governance, risk management, or compliance experience in regulated industries.
• Basic understanding of AI/ML and data governance, MLOps concepts.
• Proven ability to identify requirements through business analysis and cross-functional collaboration.
• Strong communication and presentation skills for senior leadership.

Responsibilities

• Design product features applying AI & Data governance frameworks and policies.
• Ensure compliance with AI & Data management regulations and guidelines.
• Identify, assess, and mitigate risks in AI/Data management technologies.
• Collaborate with cross-functional teams to integrate governance into the AI/ML lifecycle.
• Establish monitoring and reporting for governance adherence and improvement.
• Present updates and governance findings to senior leaders.
• Stay current on industry trends and regulatory changes related to AI governance.

Skills

Product management

Technology governance

Risk management

Compliance

AI/ML basics

Data governance

MLOps

Job description

JPMorganChase & Co. in Jersey City, NJ seeks an AI Governance Product Manager- Associate to translate governance policies into user-friendly AI/Data features. You will work with data scientists, engineers, legal, and compliance to apply responsible AI practices across the firm.

The role emphasizes collaboration with cross-functional teams, risk assessment, and staying ahead of regulatory changes to ensure compliant AI/ML development within the organization.