Risk Management & Compliance Vice President, Emerging Capabilities

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities.  Our culture in Risk Management and Compliance is all about challenging the status quo and striving to be best in class.

 

As a Vice President, Emerging Capabilities in the Data Analytics & Intelligent Automation team, you will lead the discovery, evaluation, and adoption of innovative tools that empower us to work smarter. You will assess emerging capabilities, including cloud-based data analytics, business intelligence, workflow automation, and embedded artificial intelligence, such as copilots, to determine their value for our business. You will connect strategy to execution by partnering with stakeholders, technology teams, and user experience designers to drive impactful outcomes and deliver strong return on investment. You will provide our people with the training and resources needed to succeed, helping us stay ahead in a rapidly evolving landscape.

Job Responsibilities

• Discover, evaluate, and pilot emerging tools and capabilities — including hands-on technical assessments and proof-of-concept builds.
• Champion adoption at scale across Risk Management & Compliance through targeted outreach, stakeholder engagement, and change management. 
• Own product roadmaps and influence feature and capability prioritization with vendors and internal technology teams. 
• Define success metrics for engagement and adoption, and drive value realization through ongoing measurement and reporting. 
• Design and deliver training and awareness programs that make new technologies accessible and approachable for non-technical audiences. 
• Provide consulting support to teams evaluating tools and use cases, balancing business requirements, risk, and total cost of ownership. 
• Formalize and promote best practices for emerging tools in partnership with development teams. 
• Partner with development and user experience teams to plan, implement, and accelerate tool rollouts.
• Collaborate with the AI Enablement team to ensure alignment on strategy, priorities, and operating model.

 

Required qualifications, capabilities, and skills

• 8+ years in automation, analytics, AI, or adjacent product/enablement roles, with a proven track record of driving tool adoption at scale across multiple stakeholder groups.
• Experience with platforms such as Databricks, Sigma, Microsoft Power Platform, Pega, Tableau, Alteryx and/or UiPath, with the ability to compare and position tools for specific use cases.
• Experience implementing, evaluating, or managing cloud-based and SaaS platforms, with a strong understanding of deployment, integration, and security considerations across business environments.
• Excellent written and verbal communication skills, including executive storytelling and ability to translate technical concepts for non‑technical audience through awareness campaigns, in-person training, and scalable content.
• Hands-on experience assessing emerging automation tools, including proof-of-concept development, technical due diligence, and fit-for-purpose recommendations across varied use cases.
• Cross-functional leadership with the ability to facilitate alignment across stakeholders, technology, solution, and UX teams in support of organizational goals.
• Strong organizational and project management skills; able to run evaluations, pilots, and rollouts concurrently and on deadline.
• Define product vision, influence prioritization with vendors and internal technology teams, manage multi-quarter roadmaps, and establish product success metrics to measure business impact and value realization.

 

Preferred qualifications, capabilities, and skills

• Experience in financial services and/or Risk Management and Compliance, with familiarity in second‑line risk functions and operating models.
• Working knowledge of AI/ML concepts and governance.
• Relevant credentials such as PMP/Agile (or equivalent), product management certifications, or vendor certifications in leading automation/AI platforms.