Lead Technical Program Manager - CTO Enterprise Services & Platforms

JPMorgan Chase & Co.; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Lead Technical Program Manager within CTO Enterprise Services & Platforms to drive complex technology programs. You will blend program leadership with data engineering depth to shape modern data platforms in a regulated financial environment.

Responsibilities include end-to-end planning, CI/CD ownership, risk mitigation, and executive-level reporting. Strong stakeholder management and agile delivery are essential for success in this role.

Qualifications

• 10+ years in technical program management for large organizations.
• Experience using enterprise AI capabilities with strong validation and data sensitivity awareness.
• Proven ability to review AI-assisted plans and escalate uncertainties.
• Advanced stakeholder management across cross-functional teams and clients.
• Track record of managing resources, budgets and high-performing teams in agile environments.
• Ability to translate objectives into actionable tasks using data-driven approaches.

Responsibilities

• Develop and execute comprehensive project plans with timelines and resources.
• Own end-to-end CI/CD management for program delivery with automated release controls.
• Use enterprise AI capabilities to accelerate planning and risk synthesis.
• Identify and mitigate risks, implementing contingency plans.
• Collaborate with engineering, product and business stakeholders on scope and deliverables.
• Produce executive-level reports and narratives with clear recommendations.
• Apply analytics to assess performance and drive improvements.
• Champion agile practices and governance routines for continuous improvement.
• Promote AI-assisted governance with human review and delivery standards.

Skills

Program management

AI governance

Stakeholder mgmt

Budget management

Agile delivery

Data platforms

Risk management

Executive reporting

Tools

Databricks

Snowflake

Kafka

Airflow

AWS/Azure

Job description

As a Lead Technical Program Manager in Chief Technology Office (CTO) - Enterprise Services & Platforms, you will drive the successful delivery of complex technology projects and programs that will help reaching business goals across the firm. You will combine strong program leadership with data engineering depth to shape and deliver modern data platforms and data products in a highly regulated financial services environment. 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
• Own end-to-end CI/CD management for program delivery, partner with engineering to define and maintain pipelines from code commit through build, test, security scanning, deployment, and post-deploy validation; ensure release automation, environment promotion controls, rollback procedures, and deployment metrics are in place.
• 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
• Produce executive-level reporting and narratives (dashboards, program health readouts, decision memos) that translate complex technical and delivery topics into actionable insights; highlighting tradeoffs, risks, dependencies, financials/budget, and clear recommendations to enable timely decision-making by senior leaders.
• Utilize advanced analytical reasoning to assess program performance, identify areas for improvement, and implement data-driven optimizations to enhance efficiency and effectiveness
• Champion agile delivery practices and continuous improvement, establishing effective governance routines (RAID, integrated plans, executive updates) and fostering a culture of 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

• 10+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a large organization
• 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 expertise in stakeholder management, with the ability to establish productive working relationships and influence decision-making across cross-functional teams and clients
• 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

• Experience delivering on modern data stacks (e.g., cloud data platforms, lakehouse/warehouse patterns, streaming platforms) and partnering with architecture on scalability, resiliency, and cost-to-serve.
• Experience with governance and controls: data access controls, privacy/PII handling, auditability, SDLC/change management, and operational resilience expectations.
• Familiarity with CI/CD practices for data/platform delivery (policy-as-code, automated testing, vulnerability scanning, artifact management, environment promotion).
• Experience enabling analytics/ML ecosystems (e.g., curated datasets, feature pipelines) and partnering with data science/analytics teams.
• Relevant certifications (PMP, SAFe, Scrum, AWS/Azure) or experience with core stack (Databricks/Snowflake, Kafka, Airflow, AWS/Azure) are a plus.