The Opportunity:
As the AI Governance Program Manager, you will use your understanding of regulatory requirements and practical experience to establish policy, process and management structures to develop strong internal governance focusing on AI systems.
Reporting into the Vice President of Enterprise Risk Operations, you will collaborate with other members of the Enterprise Risk Management group and work cross-functionally with members of risk, security, compliance, data privacy, and AI solutions teams. You will have the opportunity to develop an effective and proportionate approach to managing AI solutions across the enterprise.
The Day-to-Day:
Manages all phases of program from ideation through deployment to ensure program elements are completely and efficiently meeting the business requirements
Defines program scope, goals and deliverables that support business goals in collaboration with senior management and stakeholders
Proactively manages changes in program, identifies dependencies and critical path, and devises contingency plans
Collaborates with existing technology risk, compliance, AI development programs, and other stakeholders to ensure seamless integrations with existing practices
Assesses requirements to deliver program components and sub-components, which may include implementation of solutions, staffing of projects, timelines, etc.
Educates colleagues about AI governance best practices to build a culture of responsible AI implementation and use
Creation and maintenance of AI governance documents and management information
Performs evaluation of all AI solutions prior to their deployment, ensuring they meet appropriate standards Document all findings, recommendations, and implementation details for transparency to leadership
Gathers and analyzes information to enable effective evaluation of AI risks
Develops risk mitigation plans and coordinates with stakeholders to ensure effective implementation of those plans
Ensures AI risk controls and guidance are kept up to date to meet evolving governance standards of the enterprise
Stays up to date with the latest advancements in AI and integration technologies
Produces reporting for program governance forums, senior management, and other stakeholder groups
Your Qualifications:
Masters Degree or equivalent combination of education and experience required
5+ years experience managing technology risk governance
Experience working with Generative AI and Machine Learning technologies
Exposure to large language models (LLMs) and multimodal models (MMMs)
Familiarity with Azure Open AI
Broad knowledge of risk management strategies
Proven experience in integrating AI models into production environments
Ability to elicit cooperation from a wide variety of sources, including senior management, internal clients, and other departments
Why Fisher Investments:
We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like:
FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER
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