Location: LONDON, LONDON, United Kingdom

Help accelerate JPMorganChases investment in Data and AI at scale by turning major programs into real, sustained adoption. In this Product Director role, youll operate at the intersection of strategy and executionbuilding trust with leaders, navigating complexity, and driving outcomes. Youll shape how business lines onboard to new capabilities and close the gap between whats delivered and whats needed. If you thrive in fast-moving environments and enjoy influencing across a broad stakeholder landscape, this is a chance to make a firmwide impact.

 

As a Product Director in the Fusion team, you will drive the adoption and rollout of a portfolio of strategic, firmwide Data and AI programs. You will lead end-to-end onboarding from initial intake through sustained usage, ensuring delivered capabilities meet real business needs. You will partner closely with senior stakeholders across business, technology, and control functions to align priorities, manage dependencies, and remove blockers. You will act as both a delivery leader and strategic thought partner to the hiring manager, keeping momentum high and outcomes measurable.

Job Responsibilities:

    Own the end-to-end onboarding lifecycle for a portfolio of strategic, firmwide Data and AI programsfrom business intake through sustained adoption
    Translate firm-level objectives into business-line adoption plans and sequence delivery across a multi-year roadmap
    Coordinate onboarding activity across multiple concurrent programs while maintaining pace, rigor, and stakeholder alignment
    Conduct structured discovery to understand workflows, data requirements, integration needs, and readiness to adopt new capabilities
    Map, engage, and mobilize stakeholders across business, technology, compliance, operations, and legal to build the coalition required for adoption
    Serve as the primary interface between program delivery teams and consuming businesses, ensuring requirements are captured, articulated, and tracked
    Assess delivered features against business requirements and maintain a structured view of scope, delivery status, and gaps
    Design and run validation processes, including technical integration testing and business user acceptance, coordinating subject matter experts as needed
    Establish systematic feedback loops to confirm fitness for purpose and drive iteration into program roadmaps. Identify risks and blockers early, escalate with clarity and propose resolution paths that protect delivery and adoption outcomes
    Prepare and present program updates, steering materials, and adoption metrics for senior leadership and governance forums

 

Required Qualifications, Capabilities, and Skills:

    Demonstrated background in data and technology, including data platforms, data products, APIs, and enterprise adoption mechanics
    Working knowledge of artificial intelligence and machine learning concepts and how they are applied in financial services
    Ability to engage credibly in technical architecture discussions and business strategy conversations
    Proven experience leading complex, cross-functional technology or data adoption programs within large, regulated organizations
    Strong program governance capability, including milestone tracking, dependency management, and escalation
    Ability to manage a portfolio of concurrent initiatives with strong structure, organization, and attention to detail
    Outstanding stakeholder management skills, including building trust with senior leaders and operational partners
    Excellent written and verbal communication skills, including presenting complex program status with clarity
    Demonstrated ability to drive outcomes through influence rather than formal authority
    Comfort operating in ambiguity and high-change environments where priorities evolve and programs mature
    High degree of professionalism and discretion appropriate to a senior role in a globally systemically important bank

 

Preferred Qualifications, Capabilities, and Skills:

    Experience working in capital markets, investment banking, or Corporate and Investment Bank environments
    Experience partnering closely with technical AI teams and translating outputs into business-relevant outcomes and adoption plans
    Experience designing adoption metrics and operational cadences to drive sustained usage at scale
    Experience representing a program or function in senior forums and governance bodies

Lead firmwide data and artificial intelligence program adoption, bridging delivery and business needs to drive measurable outcomes.