About the job
We’re seeking an AI Governance & Risk Strategy Lead to help refine and scale our enterprise-wide AI risk program. This person will play a critical role in maturing our frameworks for responsible AI—partnering with senior stakeholders across Technology, Legal, Compliance, Data, and Product to ensure the safe, ethical, and compliant use of AI systems across Bloomberg.
Responsibilities
Enhance our enterprise AI Risk Management framework—including inventory, classification, and risk-tiering mechanisms
Develop scalable, end-to-end governance processes across the AI lifecycle: design, development, deployment, production, and retirement
Identify opportunities for automation and process improvements to strengthen controls and oversight
Partner with Legal, Compliance, Privacy, Security, Engineering, and Product teams to address emerging AI risks and ensure effective policy implementation
Facilitate stakeholder working groups, communications, and executive updates on AI risk and governance
Establish and monitor key risk indicators for AI systems (e.g., model drift, hallucination, bias)
Ensure alignment with global AI regulatory requirements (e.g., EU AI Act) and respond to regulatory inquiries or reviews
Evaluate risks tied to third-party AI solutions, including sourcing, onboarding, integration, and ongoing oversight
Serve as an internal subject matter expert and thought leader on responsible AI use
Support AI risk training, awareness, and culture-building across the organization
Qualifications
Minimum
10+ years of experience in Technology Risk, Data and Security Risk, or AI/ML—at least 3 years directly focused on AI governance or oversight
Direct experience designing and implementing enterprise AI Risk or Responsible AI programs
Strong grasp of AI/ML technical risks (e.g., bias, explainability, model drift, robustness) and associated controls
Hands-on familiarity with generative AI tools (e.g., ChatGPT, Claude, AWS Bedrock) and their risk implications
Strong change management and stakeholder engagement skills, with a track record of influencing without authority across technical and business domains
Knowledge of data governance practices, including metadata management, data lineage, and data minimization as they pertain to AI models
Working knowledge of privacy, compliance, and regulatory frameworks (e.g., GDPR, CPRA, EU AI Act)
Excellent communication skills with experience presenting to senior stakeholders
Preferred
Experience in Data Risk Management or direct collaboration with AI/ML development teams
Familiarity with AI risk management platforms or tools for model monitoring, documentation, and compliance reporting
Experience designing training, awareness, or enablement programs focused on AI risk, model governance, or responsible AI practices
Familiarity with frameworks such as NIST AI RMF, ISO/IEC 23894, or OECD AI Principles
Certifications in risk, privacy, or compliance (e.g., CIPP, CIPM, CRISC, CRCM)