A.I Governance Manager

What you will do:  

AI Governance 

• Manage day-to-day operations for Bloomberg’s Industry Groups AI risk governance processes, including intake, tracking, workflow management, documentation, stakeholder follow-up, and reporting.

• Develop AI policies, standards, procedures, guidelines playbooks, templates, and controls for multiple platforms and diverse systems environments as they pertain to compliance requirements. 

• Support the operation of AI governance forums, working groups, and review processes, including agenda development, materials preparation, decision logs, action tracking, and follow-ups.

• Help ensure AI use cases, systems, tools, and third-party solutions move through the appropriate governance process in a timely, consistent, and well-documented manner.  

• Partner with Risk Advisory, Engineering, Product, Legal, CISO, Privacy, Data, Procurement, and business teams to coordinate reviews and resolve process questions.  

• Track dependencies across stakeholders and ensure timely escalation of overdue items, blocked reviews, or emerging operational risks.  

• Identify process gaps, bottlenecks, and opportunities to simplify or automate program operations.  

• Help develop dashboards, metrics, key risk indicators, and operational indicators to measure program health and risk trends.

• Prepare regular reporting for AI risk governance forums, senior stakeholders, and management updates.

• Escalate complex or higher-risk issues to senior AI risk leadership and governance forums. 

• Support training, awareness, and enablement activities by coordinating materials, communications, attendance, completion tracking, and feedback.

• Collaborate with teams across the organization to ensure continued compliance to policies and security standards.  

• Monitor developments in AI technology, AI regulation, and responsible AI practices, and help incorporate those developments into program materials.  

AI Risk Management 

• Participate in developing AI risk management and compliance goals for the organization.

• Support AI risk assessments for machine learning, generative AI and agentic AI use cases across products, platforms, internal tools, and third-party solutions.

• Support the evaluation risks related to bias, explainability, hallucination, model drift, robustness, privacy, security, data quality, intellectual property, transparency, and human oversight.

• Help determine appropriate risk tiering, documentation, control requirements, approvals, and monitor expectations for AI use cases.

• Coordinate documentation collection and quality review for AI risk assessments, approvals, control evidence, risk acceptances, issues, and remediation plans.

• Provide practical guidance to teams on responsible AI requirements, governance processes, and risk mitigation options.  

• Maintain Bloomberg’s AI inventory, including completeness checks, metadata quality, classification status, risk-tiering information, ownership, and lifecycle status.  

• Collaborate with Product and Engineering to establish testing requirements, minimum evidence thresholds, coordinate independent review where needed, and ensure release decisions reflect measured risk and residual risk. 

• Support issue management, remediation tracking, control evidence collection, and audit readiness for AI risk governance activities.

• Provide support and knowledge in formal responses to customer requests and maintain documentation to provide risk assurance to clients.  

• Participate in both internal and external audit activities; aid in compliance audits in support of ISO 27001/2, ISO 42001, etc.

You need to have:  

• Bachelor’s Degree or equivalent experience

• 7+ years' related experience in risk operations, technology risk, program management, governance, compliance operations, audit support, business operations, or project management.

• 3+ years’ experience in AI Governance, AI Risk Management, responsible AI, AI/ML risk, technology risk, data governance, data risk, security risk, model risk, or product risk.

• Working understanding of AI/ML and generative AI risks, including bias, explainability, model drift, robustness, hallucination, privacy, security, and data quality.

• Familiarity with generative AI tools and platforms, such as ChatGPT, Claude, AWS Bedrock, Azure OpenAI, Google Gemini, or comparable enterprise AI tools.

• Experience supporting AI risk assessments, control reviews, policy implementation, issue tracking, or governance processes.

• Experience working with AI/ML development teams, data science teams, engineering teams, or product teams.

• Familiarity with NIST AI RMF, ISO/IEC 23894, EU AI Act, OECD AI Principles, GDPR, CPRA, or similar frameworks.

• Experience with model inventories, AI inventories, model documentation, risk management platforms, GRC tools, MLOps, LLMOps, or AI monitoring tools.

• Experience supporting third-party technology risk, vendor reviews, or AI-enabled vendor assessments.

• Certifications in risk, compliance, or AI governance.

• Strong analytical and problem-solving skills, with the ability to assess risk in practical business and technical contexts.

• Strong communication skills, including the ability to write clearly and work effectively with technical and non-technical stakeholders.

• Experience supporting governance processes, risk committees, control programs, regulatory initiatives, audit activities, or enterprise risk programs.

• Strong organizational skills and attention to detail, including experience managing trackers, documentation, action logs, issues, workflows, and reporting materials.

• Ability to coordinate across technical, legal, compliance, risk, and business stakeholders in a fast-paced environment.

• Comfort working with data, dashboards, workflow tools, and enterprise productivity platforms.