Location
London

Hours
Full Time

Salary
Competitive, commensurate with experience

About the Role
This is a client-facing Vice President position (Grade 603) based in London. You will support our clients across both product and Agile disciplines, with a focus on product transformation and AI enablement. At J.P. Morgan, a global leader in financial services, you will work with some of the world's most prominent corporations, governments, wealthy individuals, and institutional investors. Our approach is to deliver first-class business in a first-class way, building trusted, long-term partnerships to help clients achieve their business objectives. We value diversity and inclusion and are committed to providing reasonable accommodations for applicants and employees.

Job Responsibilities
Product Excellence & Coaching: Coach product teams toward outcome-driven product management. Partner with Product Managers, Product Owners, Engineering, Design, and business stakeholders internally and across client engagements to define clear product outcomes, customer value measures, and success metrics that shift focus from output to impact.
Strengthen product discovery and validation by coaching teams in customer-centric product practices including hypothesis development, experimentation, user research and feedback, opportunity assessment, and evidence-based decision making.
Improve product operating model maturity by helping teams and clients adopt effective product operating model practices that align strategy, execution, and measurement, connecting product thinking with Agile delivery practices and promoting accountability for business outcomes.
Facilitate strategic prioritization by guiding leadership teams through product planning, roadmap development, investment trade-offs, dependency management, and prioritization discussions grounded in customer and business value.
Use data to improve product decisions by leveraging customer, operational, financial, and product performance metrics to identify opportunities, validate investments, and continuously improve product outcomes.
Develop product management capabilities by coaching Product Managers and Product Owners in product strategy, stakeholder management, roadmap management, product discovery, value measurement, and outcome-based planning to raise the product craft across teams and clients.
Contribute to product standards and best practices by identifying successful patterns and developing practical playbooks, frameworks, and guidance that strengthen product management capability across the organization and client base.
AI-Powered Product Enablement: Leverage AI to enhance product practices by helping product teams apply AI capabilities across product discovery, customer insight generation, roadmap planning, backlog refinement, stakeholder communication, and performance analysis.
Design AI-assisted product workflows that support activities such as customer feedback synthesis, requirements generation, roadmap creation, prioritization analysis, executive reporting, and product reviews.
Prototype lightweight product-focused AI agents to improve productivity and decision quality, including portfolio reporting, market analysis, stakeholder updates, dependency tracking, and product documentation.
Enable responsible AI adoption by ensuring AI-enabled solutions align with enterprise governance, security, compliance, and risk-management standards while maintaining transparency and accountability.
Establish AI quality and evaluation practices through lightweight validation approaches to ensure AI-generated outputs are accurate, traceable, and fit for business decision-making.
Upskill product organizations by coaching product teams, leaders, and stakeholders—including client teams—on effective AI utilization, prompt engineering, responsible use, and human-in-the-loop decision-making practices.

Experience
8+ years of experience in Product Management, Product Coaching, Product Operations, Product Transformation, or related leadership roles in complex enterprise environments, at a level consistent with a Vice President appointment. Demonstrated experience developing product management capabilities across multiple teams, products, or portfolios, ideally in both internal and client-facing settings. Strong understanding of modern product management disciplines including product strategy, product discovery, experimentation, value measurement, roadmapping, and customer-centric delivery. Experience implementing or operating within a Product Operating Model and working knowledge of Agile ways of working that enable effective product delivery. Exceptional stakeholder management, facilitation, executive communication, and influencing skills with credibility to advise senior client and internal leaders. Proven ability to use customer, business, operational, and product metrics to guide decisions and improve outcomes. Foundational GenAI fluency including prompt engineering and practical application of AI capabilities to product management and business processes. Comfortable working with engineering, design, data, and business teams to drive product outcomes.

About You
You are a strategic thinker and effective coach with a passion for product excellence and AI innovation. You thrive in complex enterprise environments and enjoy partnering with diverse teams to deliver measurable business impact. You have strong communication and influencing skills and are committed to responsible AI adoption and continuous learning.

Qualifications
Preferred qualifications include experience coaching Product Managers, Product Owners, Product Directors, or Product Leadership teams and advising clients on product transformation. Formal certifications or training in Product Management, Product Discovery, Design Thinking, Lean Product Development, or related disciplines are advantageous (Agile certifications are complementary). Experience building AI-powered proof of concepts using low-code/no-code tools, lightweight scripting, or enterprise AI platforms is desirable. Familiarity with product analytics, experimentation frameworks, value-stream measurement, and outcome-based performance tracking is preferred. Understanding of enterprise AI governance, model evaluation, guardrails, traceability, and secure AI adoption practices is a plus.