
at J.P. Morgan
Bulge Bracket Investment BanksPosted 13 days ago
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**Lead Technical Program Manager - Risk and Controls - Vice President** Leverage deep technical expertise to lead and deliver high-impact projects. Drive strategic technology initiatives, managing resources, budgets, and high-performing teams. Key responsibilities include developing project plans, mitigating risks, and driving stakeholder collaboration. Leverage AI capabilities for accelerated program planning and improve project efficiency. Expertise in vendor management, technical fluency, andproblem-solving crucial. Proven track record in managing complex technology projects in large organizations. Preferred: experience in risk, controls, or financial technology, and AI/ML familiarity. VP level role within Markets technology team in London.
- Compensation
- Not specified
- City
- Not specified
- Country
- United Kingdom
Currency: Not specified
Full Job Description
Location: LONDON, LONDON, United Kingdom
Leverage your deep technical expertise and leadership to guide cutting-edge projects, fostering growth and innovation in a dynamic environment.
As a Lead Technical Program Manager
Job responsibilities
- Develop and execute comprehensive project plans, incorporating technical requirements, resource allocation, and timelines to ensure on-time delivery of technology solutions
- Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, RAID, and executive-ready updates), validating outputs and handling data according to sensitivity requirements.
- Identify and mitigate risks, proactively addressing potential roadblocks and implementing contingency plans to maintain project and program momentum
- Collaborate with cross-functional teams, including engineering, product, and business stakeholders, to define program scope, objectives, and deliverables, ensuring alignment with overall business goals
- Utilize advanced analytical reasoning to assess program performance, identify areas for improvement, and implement data-driven optimizations to enhance efficiency and effectiveness
- Champion the adoption of agile methodologies and technical solutions, fostering a culture of continuous learning and innovation within the team
- Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards.
Required qualifications, capabilities, and skills
- Formal training or certification on technical program management concepts and advanced applied experience in technical program management, leading complex technology projects and programs in a large organization
- Advanced expertise in stakeholder management, with the ability to establish productive working relationships and influence decision-making across cross-functional teams and clients
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support program management workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling expectations.
- Advanced experience in utilizing technical fluency, including knowledge of vendor products and managing vendor relations, to enable on-demand access to shared pools of applications and services
- Proven track record of effectively managing resources, budgets, and high-performing teams in a fast-paced, agile environment
- Demonstrated proficiency in applying analytical reasoning and problem-solving techniques to break down business, technical, or operational objectives into manageable tasks and activities
Preferred qualifications, capabilities, and skills
Strong technical fluency, including formal training or certification in software engineering concepts and applied experience with risk, controls, or financial technology platforms.
Increasing technical fluency in the use of AI/ML and AI-enabled tooling that can be applied to increase productivity, optimize outputs, and support decision-making.
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