
AI Governance & Enablement Strategy-Senior Associate
at J.P. Morgan
Posted 22 days ago
No clicks
- Compensation
- Not specified
- City
- New York City
- Country
- United States
Currency: Not specified
Join the Strategic AI Governance and Enablement (SAIGE) team to support integration, regulatory compliance, and strategic execution of AI/ML technologies across the firm. You will lead and contribute to projects such as third-party AI vendor onboarding, governance metrics, and regulatory change management while working closely with cross-functional stakeholders. The role requires strong project management, process-driven thinking, and the ability to translate AI/ML lifecycle concepts into governance and operational practices. You will also help train employees on AI governance, ethical and regulatory considerations, and propose improvements to governance processes and tools.
Location: New York, NY, United States
Embrace the challenge of steering complex tech projects, fostering growth and technical excellence in a dynamic environment. Join the Strategic AI Governance and Enablement (SAIGE) team. The SAIGE team is dedicated to driving operational efficiencies and supporting the firm’s AI/ML objectives by promoting innovation and upholding the highest ethical and regulatory standards.
As a Strategy Associate on the Strategic AI Governance and Enablement Team, you’ll be part of a dynamic team working on diverse projects that support the integration, regulatory compliance, and strategic execution of AI/ML technologies across the firm.
Job Responsibilities
- Engage in specific projects such as third-party AI vendor onboarding, governance metrics reporting, or legal and regulatory change management, and operational execution.
- Assist in the development and implementation of strategies for integrating AI models into business processes and aligning them with organizational goals.
- Support the streamlining of governance components and contribute to tracking of key risk indicators.
- Participate in the navigation of industry regulations and standards, aiding in the development of frameworks for legal entity management and regulatory compliance.
- Establish and maintain relationships with stakeholders, providing transparency and alignment across strategic priorities to ensure seamless integration of AI solutions.
- Lead projects with a strong project management mindset, ensuring adherence to the defined lifecycle and clear roles and responsibilities across technology teams and business units.
- Stay abreast on the latest AI advancements and integration technologies.
- Propose and implement improvements to integration and governance processes and tools.
- Guide training and resources to employees on AI governance, ethical and regulatory considerations, and best practices
Required Qualifications, Capabilities, And Skills
- Bachelor’s degree in relevant field and 3 years of applicable experience in governance, enablement, or regulatory compliance.
- Strong collaborative skills, with the ability to work effectively within a team and contribute to shared goals.
- Understanding of AI/ML concepts and lifecycle management, with willingness to learn and adapt to new challenges.
- Well-organized, detail-oriented, and process-driven with strong communication skills to convey concepts to diverse stakeholders.
- Strong problem-solving skills and the ability to think critically through ambiguity.
- Driven, and eager to learn – someone who takes initiative rather than waiting for direction.
- Experience with cross-functional collaboration, including influencing stakeholders and working with diverse teams.
- Familiarity with industry regulations and standards impacting AI/ML technologies.
- Curious about AI, emerging technologies, and how the impact businesses and people.
- Solid understanding of digital products and how technology teams operate.
Preferred Qualifications, capabilities, and skills:
- Experience in the Financial Services industry.
- Experience with cross-functional collaboration, including influencing stakeholders and working with diverse teams.
- Familiarity with industry regulations and standards impacting AI/ML technologies.
- Thoughtful and detail-oriented, with the persistence to see work through to completion.
- Curious about AI, emerging technologies, and how the impact businesses and people.
- Solid understanding of digital products and how technology teams operate.
- Comfortable juggling multiple priorities.




