Strategy Manager - AI for Tech Transformation Program

Posted 8 Days Ago
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London, Greater London, England, GBR
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Lead strategy and coordination for firmwide generative AI developer tool rollouts. Design engineering productivity metrics and analytics, produce OC-level executive presentations, drive adoption tracking and change management, and partner with engineering, product, and data teams to scale AI-enabled developer workflows.
Summary Generated by Built In

Role Overview

We are seeking a motivated and analytically sharp VP Strategy Manager to support the AI for Tech Transformation Program, a high-visibility initiative driving JPMorganChase's adoption of generative AI across its technology organization. This role requires the ability to flex between data analyst, product manager, and program/project organizer modes, with frequent direct engagement with CIOs and senior executives. Success depends on high-judgment, precise communication and the ability to translate ambiguity into clear decisions, actionable plans, and OC-ready materials. This role blends AI awareness, data-driven analysis, and executive communication, acting as a key contributor in the effort to scale AI-powered developer tools across the firm. You will work closely with senior technology leaders and cross-functional teams to support transformation planning, track adoption progress, and deliver compelling materials for leadership audiences.

Key Responsibilities

Strategy Support & AI Tool Rollout Coordination

Support the planning and execution of Generative AI coding and developer productivity tool rollouts across JPMorganChase's technology organization. Work alongside CIO-direct and CIO-1 level leaders, helping to prepare materials, coordinate workstreams, and track progress against transformation milestones. Stay current on the emerging Generative AI landscape, including AI-assisted coding platforms, LLM-based developer tools, and intelligent automation trends, and synthesize findings into actionable recommendations for senior stakeholders.

Engineering Productivity Metrics & Analytics

Contribute to the design and maintenance of AI-impacted engineering productivity metrics that quantify the value of generative AI tool adoption across development teams. Vibe code with AI code assistants to produce rapid prototypes, demos, and lightweight working artifacts that accelerate discovery, decision-making, and delivery. Build and maintain analytical models that track developer velocity, code quality improvements, cycle time reduction, and other KPIs tied to AI-augmented workflows. Create clear, visually compelling dashboards, reports, and data visualizations that provide leadership with real-time insight into transformation progress, adoption trends, and early ROI indicators.

Executive Communications & Stakeholder Materials

Develop Operating Committee (OC)-level presentations, executive briefings, and leadership updates that clearly articulate program vision, progress, and impact. Demonstrate strong PowerPoint proficiency, producing polished, narratively cohesive decks that translate technical concepts into digestible insights for senior audiences. Support a regular cadence of stakeholder communications, ensuring alignment across lines of business, corporate functions, and technology leadership.

Cross-Functional Collaboration

Partner with engineering, product, data science, and architecture teams to ensure AI tool rollouts reflect real-world developer needs and enterprise standards. Support change management efforts by helping drive awareness, training materials, and adoption tracking across the technology workforce. Build productive working relationships across the firm's technology ecosystem, connecting innovation teams, platform engineering, and program leadership.

Qualifications & Experience

Required Qualifications, Capabilities, and Skills

  • 5+ years of experience in technology strategy, transformation, product engineering or program roles within a large, complex organization.

  • Solid understanding of the Generative AI ecosystem, including familiarity with AI-assisted coding tools (e.g., GitHub Copilot, Claude Code, or similar), LLM concepts, and the evolving AI developer toolchain

  • Daily, hands-on use of AI tools in day-to-day workflows, with demonstrated passion to learn, experiment, and reinvent how work gets done.

  • Prior Engineer/SDLC delivery experience is a plus. Enables in developing engineering productivity metrics and KPIs, with the ability to help design measurement frameworks and track outcomes

  • Strong PowerPoint and executive communication skills, with demonstrated ability to build polished, OC-level presentations that are both analytically sound and visually engaging

  • Comfort engaging with senior stakeholders, including the ability to operate professionally in fast-paced, high-visibility environments and support CIO-level interactions

  • Good technical acumen — the ability to engage credibly with software engineers and data teams on technical topics while maintaining a strategic perspective
     

Preferred Qualifications, Capabilities, and Skills

  • Prior experience in technology management consulting, product engineering,  within financial services or with large-scale technology organizations with complex governance environments experience is a plus
  • Experience supporting enterprise rollout of developer productivity tooling and/or AI-enabled workflow transformation
  • Familiarity with software development lifecycle (SDLC) practices, DevOps/DevEx methodologies, or platform engineering concepts

  • Exposure to change management practices and experience supporting enterprise-wide adoption or behavioral change initiatives

  • MBA, degree in a quantitative discipline, or equivalent professional experience

What Sets This Role Apart

This role offers a unique opportunity to contribute to one of the most impactful technology transformation programs in financial services. You will gain direct exposure to senior technology leaders, work at the cutting edge of Generative AI adoption, and develop skills that sit at the intersection of strategy, analytics, and executive storytelling. If you are curious, technically inclined, and energized by the chance to help shape how AI transforms software engineering at scale, this is an exceptional platform to grow your career at JPMorganChase.

About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
  
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

The Strategy team manages mission-critical projects ranging from developing growth strategies, to assessing and planning entry into new markets, to implementing organizational restructurings and operational efficiencies, and more. Projects are typically team-based and include close collaboration with senior executives.

Skills Required

  • 5+ years experience in technology strategy, transformation, product engineering or program roles within a large, complex organization
  • Solid understanding of the Generative AI ecosystem and AI-assisted coding tools (e.g., GitHub Copilot, Claude Code)
  • Daily, hands-on use of AI tools in day-to-day workflows
  • Experience developing engineering productivity metrics and KPIs; ability to design measurement frameworks
  • Strong PowerPoint and executive communication skills for OC-level presentations
  • Comfort engaging with senior stakeholders including CIO-level interactions
  • Good technical acumen to engage credibly with software engineers and data teams
  • Prior Engineer/SDLC delivery experience
  • Prior technology management consulting or experience within financial services or large-scale technology organizations
  • Experience supporting enterprise rollout of developer productivity tooling and AI-enabled workflow transformation
  • Familiarity with SDLC practices, DevOps/DevEx methodologies, or platform engineering concepts
  • Exposure to change management practices and supporting enterprise-wide adoption initiatives
  • MBA or degree in a quantitative discipline or equivalent professional experience

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
  • Retirement Support A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
  • Leave & Time Off Breadth Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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