Lead Technical Program Manager - Payments - AI Transformation - Vice President

JPMorgan Chase & Co.

Greater London

On-site

GBP 90,000 - 140,000

Full time

4 days ago
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Job summary

JPMorgan Chase & Co. in London seeks a Project Manager within the Chief Data & Analytics Office (CDAO) to drive AI transformation initiatives across Payments.

You will lead end-to-end delivery of strategic solutions, coordinate with Product and Technology teams, and govern roadmaps while engaging senior stakeholders across the firm. The role requires strong leadership, deep cross-functional collaboration, and a track record of delivering complex changes in data and analytics.

Qualifications

  • Strong industry experience
  • Experience with using AI tools
  • Experience managing strategic change for business products
  • Demonstrated ability to manage the delivery of complex change projects
  • Ability to build consensus and deliver projects in a highly collaborative, cross-functional and matrixed environment
  • Ability to influence people at all levels across a broad variety of functions
  • Excellent leadership skills – of projects and delivery teams/squads
  • Strong communication skills and ability to articulate complex ideas / challenges effectively
  • Strong agile delivery experience in a productized environment

Responsibilities

  • Lead strategic change projects end-to-end from initiation through to delivery, ensuring adherence to required timelines, budgets, and quality standards
  • Partner with Product and Technology teams along with other relevant firmwide groups, to oversee the design, development, testing, and implementation of strategic solutions
  • Develop and communicate the project roadmap and priorities to key stakeholders and senior management
  • Establish appropriate governance to oversee delivery of the project roadmap, ensuring appropriate stakeholder engagement and alignment throughout
  • Manage cross-functional teams across the firm and drive accountability with Lines of Businesses, Corporate Functions and firmwide stakeholders to deliver expected outcomes
  • Design and track appropriate project success measures and metrics aligned to organizational goals, and communicate progress on these to stakeholders
  • Identify and manage emerging project risks, issues and dependencies - proactively addressing potential roadblocks and implementing contingency plans to maintain momentum
  • Ensure project data is correctly represented in the appropriate systems of record
  • Develop and maintain deep relationships with stakeholders across the firm
  • Lead high performing cross functional teams and effectively drive these teams towards delivery milestones

Job description

The Chief Data & Analytics Office (CDAO) team for Global Banking and Payments is responsible for the strategy, governance, architecture, and delivery of data and analytics solutions for Corporate Investment Banking and Payments businesses. We are focused on harnessing data to drive innovation and growth, unlocking client value, and positioning the franchise to lead in a rapidly evolving AI-enabled landscape.

As a Project Manager in theChief Data & Analytics Office (CDAO) team, you will be responsible for managing key Payments AI transformation initiatives across the group. You will lead the delivery of new and enhanced products, solutions, operating models and processes aligned to data across the Firm. You will project manage these initiatives from initiation through to completion, including planning, governance and delivery co-ordination with Product and Technology teams as well as other relevant firmwide groups.

This position will play a crucial role in the evolution of the Firm’s payments products to meet the challenges and opportunities presented by the advent of novel AI solutions.

Job Responsibilities
  • Lead strategic change projects end-to-end from initiation through to delivery, ensuring adherence to required timelines, budgets, and quality standards
  • Partner with Product and Technology teams along with other relevant firmwide groups, to oversee the design, development, testing, and implementation of strategic solutions
  • Develop and communicate the project roadmap and priorities to key stakeholders and senior management
  • Establish appropriate governance to oversee delivery of the project roadmap, ensuring appropriate stakeholder engagement and alignment throughout
  • Manage cross-functional teams across the firm and drive accountability with Lines of Businesses, Corporate Functions and firmwide stakeholders to deliver expected outcomes
  • Design and track appropriate project success measures and metrics aligned to organizational goals, and communicate progress on these to stakeholders
  • Identify and manage emerging project risks, issues and dependencies - proactively addressing potential roadblocks and implementing contingency plans to maintain momentum
  • Ensure project data is correctly represented in the appropriate systems of record
  • Develop and maintain deep relationships with stakeholders across the firm
  • Lead high performing cross functional teams and effectively drive these teams towards delivery milestones
Required qualifications, capabilities, and skills
  • Strong industry experience
  • Experience with using AI tools
  • Experience managing strategic change for business products
  • Demonstrated ability to manage the delivery of complex change projects
  • Ability to build consensus and deliver projects in a highly collaborative, cross-functional and matrixed environment
  • Ability to influence people at all levels across a broad variety of functions
  • Excellent leadership skills – of projects and delivery teams/squads
  • Strong communication skills and ability to articulate complex ideas / challenges effectively
  • Strong agile delivery experience in a productized environment
Preferred qualifications, capabilities, and skills
  • A product delivery and/or data and analytics background
  • Experience and technical knowledge of AI, payments, data platforms, cloud
  • BS/BA degree or equivalent experience in Technology, Data Science, Engineering or other related area
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