Step into a pioneering role where your expertise will define the standards for agentic AI governance in financial services. Join us as we lead the industry, setting benchmarks that the firm will reference. Be part of a team that transforms governance from a bottleneck into an accelerator for safer, faster AI deployment and management. Your work will establish JPMorganChase as the intellectual authority in agentic AI, influencing governance, controls and industry best practices. This is your opportunity to make a lasting impact and expand your influence across the organization and beyond.
Job summary As an Agentic Governance Lead in the CCB team, you will help invent and publish agentic governance frameworks, shaping how JPMorganChase and the industry approach autonomous AI. You will unlock faster AI deployment by reducing governance cycle times and position us as the standard-setter for agentic AI oversight. You will define governance and risk management practices, anticipate challenges, and build competitive advantage through innovation. Together, we will expand our organizational influence and drive strategic partnerships for future success.
Job Responsibilities
- Define and deliver governance models for multi-agent systems and orchestrated agent ecosystems
- Establish risk tiering for autonomous decisions and set agent oversight levels
- Develop escalation thresholds and human-in-the-loop requirements for agentic AI
- Build governance frameworks for customer-facing agents, ensuring explainability and consent
- Create multi-year strategic roadmaps for data and AI governance supporting business outcomes
- Develop pioneering frameworks balancing innovation velocity with responsible deployment
- Identify and evaluate emerging governance challenges and evolving regulatory expectations
- Align governance strategy with business objectives, transformation and competitive positioning
- Author white papers, research reports, and frameworks on agentic AI governance
- Build relationships across JPMorganChase LOBs and Corporate Functions to shape and deliver requirements
- Design and publish transformative governance frameworks, maturity models, and toolkits
Required qualifications, capabilities, and skills
- 10+ years of experience or equivalent expertise in the AI/ML space
- Bachelor’s degree in quantitative field (Computer Science, Engineering, Data Science, Mathematics).
- Deep technical understanding of AI/ML in the context of governance, controls, and compliance
- Wide and deep grasp of the components and mechanics of traditional ML, deep learning multi-modal models, and agentic construct to inform and guide practical strategies to track and manage the full specter of risks
- Proven success managing large scale, complex AI/ML related initiatives with cross functional stakeholders
- Strong demonstrated technical writing skills geared to technical, regulatory, and executive audiences
- Proven technology practitioner with specialized focus on data management automation leveraing AI/ML to address risks, safety and controls
- Experience developing and publishing frameworks, methodologies, or standards adopted by others
- Applied understanding and experience in building and running agentic AI, autonomous systems, and AI architectures
- Awareness of global AI and privacy regulatory landscape, such as the EU AI Act, GDPR and CCPA
- Executive presence and ability to influence senior leadership and external stakeholders
Preferred qualifications, capabilities, and skills
- Advanced degree preferred, such as MS, and/or PhD
- Background in AI research and related emerging technologies
- Relevant experiences implementing tech-enabled governance solutions for multiple industries or global markets