As a Senior Product Transformation & Agentic AI Lead in Consumer and Community Banking Operations, you will play a central role in transforming how product teams operate. You will help us translate emerging AI capabilities into practical solutions, fostering a culture of experimentation and continuous improvement. Together, we will build inclusive, innovative teams that deliver measurable results and drive sustainable change.

Consumer & Community Banking (CCB) Operations Product organization provides critical cross line of business support across JPMC and serves as one of the largest product portfolios in CCB, delivering value to millions of customers and over 30,000 employees. As a product team member, your problem-solving skills will place you on the cutting edge of defining the vision, creating the strategy, and building the roadmap to solutions that impact millions. Along the way, you’ll develop a deep, end-to-end understanding of the business and find an inclusive culture that welcomes diverse ideas and supports your individual growth and career mobility. 

Job responsibilities

• Lead agentic AI adoption across product teams by training, coaching, and guiding day-to-day use of AI-enabled workflows in discovery, planning, delivery, and continuous improvement.
• Operate as an embedded transformation leader within product teams, helping redesign how work gets done.
• Identify opportunities for agentic AI to remove friction, accelerate learning, improve decision quality, and increase team throughput while maintaining strong governance and risk awareness.
• Work hands-on with teams to prototype, test, and implement new practices, prompts, automations, and operating model patterns.
• Translate technical AI concepts into practical behaviors, playbooks, and learning paths for product, engineering, design, and business partners.
• Guide leaders and teams through the people, process, and operating model shifts required to scale AI adoption responsibly.
• Establish feedback loops that measure adoption, effectiveness, and transformation outcomes, focusing on capability uplift, workflow improvement, and business impact.
• Partner with senior leadership to shape the future-state product operating model and embed agentic AI capabilities across the domain.
• Promote a culture of experimentation, learning, and continuous improvement by helping teams build confidence, judgment, and discipline in AI-assisted work.

Required qualifications, capabilities, and skills

• 8 years of experience across product delivery, transformation, technology, or digital operating model change in complex environments.
• Demonstrated success leading cross-functional teams through meaningful changes in ways of working, with the ability to influence leaders, practitioners, and stakeholders at multiple levels.
• Strong technical acumen, including the ability to work credibly with engineers, understand modern software delivery practices, and apply AI tools in practical team settings.
• Hands-on experience using generative AI, automation, copilots, agentic workflows, or related tooling to improve team outcomes, workflow quality, or operational efficiency.
• Deep understanding of the product development lifecycle, including strategy, discovery, planning, design, implementation, testing, deployment, operations, and continuous improvement.
• Ability to teach, coach, and facilitate in a way that builds capability through direct partnership and observable practice.
• Strong communication, storytelling, and change leadership skills, with the ability to make emerging concepts concrete and actionable for diverse audiences.
• Experience defining measurable transformation outcomes and using qualitative and quantitative signals to refine adoption strategies.

Preferred qualifications, capabilities, and skills

• Background in software engineering, product engineering, architecture, developer enablement, or another technical discipline that supports hands-on credibility with delivery teams.
• Experience designing or scaling AI enablement programs, transformation playbooks, communities of practice, or enterprise adoption models.
  Working knowledge of prompt design, workflow orchestration, human-in-the-loop controls, evaluation approaches, and responsible AI guardrails.
• Experience operating in regulated or large-scale enterprise environments where technology change must align with risk, control, compliance, and operational readiness requirements.
• Strong facilitation and workshop design skills across strategy sessions, operating model design, learning labs, and team-based transformation work.
• Certifications or formal training in AI, machine learning, cloud AI platforms, automation technologies, product management, design thinking, change management, digital transformation, or agile/lean methodologies.
• Preferred experience supporting more than one CCB Operations Function/Line of Business.