CIB AI Governance Lead – Vice President
About The Position
As an AI/Machine Learning Governance Lead within JPMorgan Chase’s Commercial & Investment Bank (CIB) Digital, Data and Artificial Intelligence organization, you will help define and execute a governance framework for the responsible adoption of artificial intelligence, machine learning, and generative AI. You will work with risk, legal, compliance, technology, data, and business stakeholders to turn policies and standards into clear processes, controls, implementation plans, and scalable governance tooling. The role also drives transparency through executive reporting and helps ensure readiness for audit, regulatory, and client requests. You will support an in-business analytics ownership model, guide business use cases through the AI/ML Lifecycle, and develop expertise across a portfolio of CIB AI/ML initiatives. You will maintain and improve governance materials, coordinate CIB-wide rollout plans, monitor risks and issues through governance forums, and help define the roadmap for governance tools and process standardization. The position facilitates stakeholder alignment and promotes consistent practices across lines of business.
Requirements
- At least 5 years of applied experience in one or more of audit, controls, compliance, risk, or technical product management.
- Experience delivering or governing AI, machine learning, and generative AI solutions in financial services or another highly regulated environment.
- Strong analytical and interpersonal skills, including the ability to translate complex requirements into practical processes and controls and collaborate in a fast-moving, evolving environment.
- Analytical and problem-solving skills to assess novel use cases against evolving policy and regulatory expectations.
- Experience partnering with technology, legal, compliance, and business stakeholders to operationalize governance requirements.
- Ability to influence across teams, build consensus, and drive adoption without direct authority.
- Strong project management and attention to detail, with the ability to manage concurrent initiatives and deadlines, adapt to shifting priorities, and clearly communicate status.
Nice To Haves
- Formal training or certification in AI/ML governance concepts.
- Strong understanding of the machine learning lifecycle, model validation concepts, and emerging generative AI/LLM risk considerations.
- Familiarity with data governance, third-party/vendor risk management, and technology audit practices.
- Working knowledge of AI/ML tools, platforms, and techniques, such as LLMs and agentic AI, sufficient to engage credibly with technical teams.
Responsibilities
- Support definition and adoption of the in-business analytics ownership operating model, including stakeholder roles, responsibilities, and decision rights.
- Serve as the primary business contact for AI/ML use cases, guiding them through the AI/ML Lifecycle and providing support through multiple communication channels.
- Develop in-depth knowledge of a portfolio of CIB AI/ML initiatives and partner with stakeholders to identify common patterns and streamline solutions.
- Maintain and improve AI/ML governance documentation, manage periodic reviews and refresh cycles, and apply the materials to day-to-day responsibilities.
- Partner with risk, legal, compliance, data, and technology stakeholders to assess the impacts of new policies, standards, and procedures and translate requirements into implementation plans.
- Coordinate end-to-end CIB-wide rollout plans, including communications, milestones, dependencies, and adoption tracking.
- Partner with controls management to identify, document, and monitor AI/ML risks, issues, and actions through governance forums.
- Act as a liaison and quality control point for audit, regulatory, and client inquiries, ensuring responses are accurate, consistent, and evidence-supported.
- Help define and execute the strategic roadmap for governance tooling, including requirements definition and process standardization.
- Facilitate working sessions and stakeholder forums to build alignment, resolve blockers, and promote consistent best practices across lines of business.
Benefits
- Comprehensive health care coverage
- On-site health and wellness centers
- Retirement savings plan
- Backup childcare
- Tuition reimbursement
- Mental health support
- Financial coaching
- Competitive total rewards package, with eligible roles potentially receiving commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
