Lead Technical Program Manager, Markets Technology

JPMORGAN CHASE BANK, N.A.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase Bank, N.A. in Singapore seeks a Lead Technical Program Manager in Markets Technology to guide end-to-end delivery of complex cross-functional programs, including Post-Trade, with focus on outcomes, quality, and resilience.

You will own planning, risk management, dependency tracking, and executive communication, partnering with Engineering, Product, Operations, and business stakeholders to align priorities and drive measurable impact.

Qualifications

• 5+ years or equivalent in delivering complex technology programs in large organizations.
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Responsibilities

• Own integrated program plans with scope, milestones, dependencies, and resources.
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Skills

Stakeholder management

Program leadership

Risk management (RAID)

AI-enabled governance

Cross-functional collaboration

Executive communication

Education

Bachelor’s Degree in Computer Science / related

Tools

Agile/Lean delivery

Job description

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). You’ll 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.
• Bachelor’s 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