
at J.P. Morgan
Bulge Bracket Investment BanksPosted 13 days ago
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**Lead Technical Program Manager, Markets Technology (Singapore)** Lead cross-functional teams in delivering intricate, time-bound programs for front-to-back Markets capabilities. Your 5+ years' experience and technical expertise are crucial for managing scope, risks, and dependencies. Collaborate with stakeholders, drive continuous improvement, and champion agile/lean practices. Leverage AI for program planning and risk synthesis, ensuring outputs align with delivery standards. Bachelor's degree in computer science or related fields, along with strong analytical, problem-solving, and leadership skills, are vital for success. Experience in Markets and Post-Trade domains is preferred.
- Compensation
- Not specified
- City
- Singapore
- Country
- Singapore
Currency: Not specified
Full Job Description
Location: Singapore
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 in Markets Technology, you will lead the end-to-end delivery of complex, cross-functional programs that support front-to-back Markets capabilities (including Post-Trade). Youll own program planning, solution design, dependency and risk management, financial/resource tracking, and executive-level communication to ensure outcomes are delivered on time, with the right quality and operational resilience. With advanced stakeholder management abilities, you will foster productive working relationships and influence decision-making to achieve mutually beneficial outcomes. As a subject matter expert, you will contribute to the development of operational plans and risk management strategies, ensuring the highest quality and professionalism in delivery.
Job responsibilities
- Own integrated program plans (scope, technical requirements, milestones, dependencies, resources) and drive execution through delivery.
- Proactively manage risks and issues (RAID), implement mitigation/contingency plans, and surface trade-offs with clear recommendations.
- Partner with Engineering, Product, Operations, and business stakeholders to define outcomes, success metrics, and delivery milestones.
- Track delivery health using data (throughput, predictability, quality, operational metrics) and drive continuous improvement.
- Champion effective delivery practices (Agile/Lean where appropriate) and foster a culture of learning, transparency, and accountability.
- 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.
- Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards.
Required qualifications, capabilities, and skills
- 5+ years or equivalent expertise in delivering complex technology programs in large, matrixed organizations.
- Bachelors Degree in Computer Science, Cybersecurity, Data Science, or related disciplines
- Demonstrated ability to influence senior stakeholders and align cross-functional teams on priorities, scope, and trade-offs.
- Technical fluency to partner with engineers and vendors (e.g., platform/services, integration, release management), and to manage vendor relationships and delivery dependencies.
- Comfortable operating hands-on in a fast-paced, high-stakes environment with changing priorities.
- Strong analytical/problem-solving skills; ability to break down ambiguous objectives into executable plans.
- 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.
Preferred qualifications, capabilities, and skills
- Experience delivering AI/agent-based workflows to production, including operational and risk considerations.
- Experience building and leading global, cross-region teams.
- Experience in Markets and/or Post-Trade domains.
- Familiarity with applications or infrastructure in a large-scale technology environment




