Executive Director - AI-Driven Banking Platform Lead

JP Morgan Chase

Fairfax (DE)

On-site

USD 157,000 - 260,000

Full time

2 days ago

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Job summary

Chase is seeking an Executive Director, AI-enabled Product Lead to shape strategy and deliver core banking capabilities within the Global Banking Platform. You will own the area roadmap, translate stakeholder needs into clear requirements, and partner with product owners and engineering teams to design, build, and launch high-quality platform features.

You will apply AI-enabled product practices to improve discovery, prioritization, delivery predictability, and quality, ensuring robust, scalable

Qualifications

Proven experience leading complex platform or product groups in a regulated enterprise environment.
Demonstrated expertise in roadmap ownership, backlog prioritization, and Agile delivery across multiple teams.
Strong ability to translate business needs into implementable platform requirements.
Experience leading cross-team platform initiatives with shared services, APIs, and reusable components.
Excellent stakeholder management skills and ability to drive alignment with senior stakeholders.

Responsibilities

Own delivery and outcomes for the Area Product Group responsible for core banking capabilities.
Envision and define requirements by partnering with product owners and engineering teams from solution design through implementation.
Maintain a strong focus on customer needs, quality, and scalability, driving robust, reusable, and operationally sound solutions.
Serve as a functional and technical subject matter expert on platform capabilities.
Collaborate across Global Banking Platform Area Product Groups to deliver new platform features and shared capabilities.
Create and manage the Area Product Group roadmap and prioritize the backlog.
Recommend business priorities and advise partners on trade-offs, options, dependencies, and risks.
Represent stakeholders and act as the empowered day-to-day decision maker for scrum teams.
Inspect sprint outcomes and drive transparency, communicating progress, risks, and delivery forecasts to stakeholders.
Use AI-assisted approaches to accelerate requirement exploration, impact analysis, and backlog refinement.
Promote responsible use of AI in delivery, ensuring solutions meet required standards for quality, security, and governance.