How to become a Financial AI Governance Manager

The Financial AI Governance Manager is responsible for designing, implementing, and operationalizing enterprise-wide AI governance frameworks, policies, standards, and controls within highly regulated financial services environments. This role ensures the ethical, safe, legal, and compliant use of AI/ML solutions, including Generative AI and agentic systems, across their full lifecycle. Key responsibilities include conducting AI risk assessments, managing AI inventories, ensuring compliance with evolving regulations (e.g., EU AI Act, NIST AI RMF), embedding governance checkpoints into the SDLC, and partnering with diverse stakeholders (Legal, Risk, Compliance, Engineering, Data Science, Audit) to promote responsible AI practices and maintain executive-level transparency.

Top Skills Required

  • AI governance
  • Data governance
  • Model risk management

Education & Certifications

Typical: Bachelor’s degree in Information Systems, Computer Science, Data Management, Risk Management, Business Analytics, or a related discipline.

Alternative paths:

  • Equivalent experience through work, training, military, or education