招聘

Strategy Manager - AI for Tech Transformation Program
LONDON, LONDON, United Kingdom, GB
·
On-site
·
Full-time
·
2w ago
We are seeking a motivated and analytically sharp VP Strategy Manager to support the AI for Tech Transformation Program, a high-visibility initiative driving JPMorgan Chase's adoption of generative AI across its technology organization. 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 JPMorgan Chase'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. 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
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5+ years of experience in technology strategy, management consulting, transformation program management, or a related field within a large, complex organization
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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
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Experience developing or supporting engineering productivity metrics and KPIs, with the ability to help design measurement frameworks and track outcomes
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Proficiency in data visualization tools and platforms (e.g., Tableau, Power BI, Excel, or Python-based visualization libraries) with a strong ability to turn data into clear, actionable insights
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Strong PowerPoint and executive communication skills, with demonstrated ability to build polished, OC-level presentations that are both analytically sound and visually engaging
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Comfort engaging with senior stakeholders, including the ability to operate professionally in fast-paced, high-visibility environments and support CIO-level interactions
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Good technical acumen — the ability to engage credibly with software engineers and data teams on technical topics while maintaining a strategic perspective
Preferred
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Experience working within financial services, technology management consulting with one of the big three consulting firms or large-scale technology organizations with complex governance environments experience
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Familiarity with software development lifecycle (SDLC) practices, DevOps/DevEx methodologies, or platform engineering concepts
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Exposure to change management practices and experience supporting enterprise-wide adoption or behavioral change initiatives
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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 JPMorgan Chase.
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关于JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
员工数
New York City
总部位置
$500B
企业估值
评价
3.8
10条评价
工作生活平衡
3.5
薪酬
4.0
企业文化
3.8
职业发展
3.2
管理层
2.8
68%
推荐给朋友
优点
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
缺点
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
薪资范围
44个数据点
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1份报告
$139,000
年薪总额
基本工资
$107,000
股票
-
奖金
-
$139,000
$139,000
面试经验
4次面试
难度
3.0
/ 5
时长
14-28周
录用率
50%
体验
正面 25%
中性 75%
负面 0%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
常见问题
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
新闻动态
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1d ago
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