Lead Technical Program Manager - Data

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 Payments - Liquidity Program, you will drive the successful delivery of complex technology projects and programs focused on Data analytics, reference data , reporting that will help reaching business goals across the firm.

Leveraging your deep knowledge of technical principles, practices, and theories is essential for developing innovative solutions, while simultaneously effectively managing resources, budgets, and high-performing teams.

Your strong analytical reasoning and adaptability skills will enable you to navigate through ambiguity and change, ensuring that technology initiatives align with business goals.

With advanced communication and 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 service delivery.

Job responsibilities

• Develop and execute comprehensive project plans, incorporating technical requirements, resource allocation, and timelines to ensure on-time delivery of technology solutions
• 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
• 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.