Lead Technical Program Manager - Data Platforms Delivery

Testing Site - JPMC; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

JPMorgan Chase in London is seeking a Lead Technical Program Manager within the Chief Data & Analytics Office. This role leads large, multi-functional technology programs impacting clients, employees, and stakeholders across the firm.

You will drive planning, delivery, and governance, guiding technology choices while managing budgets, resources, and cross-functional teams to achieve strategic objectives.

Qualifications

• 5+ years of experience leading complex technology programs in large organizations.
• Proficient with JIRA, Confluence, MS Project and maintaining accurate program artifacts.
• Strong analytical reasoning and problem-solving to break down objectives.
• Experience with vendor relations and managing change in high-pressure environments.

Responsibilities

• Create and maintain detailed project plans, timelines, and delivery schedules for assigned programs.
• Manage day-to-day program execution using JIRA, Confluence, and MS Project.
• Facilitate agile ceremonies with engineering teams.
• Maintain program documentation including status reports, risk registers, RAID logs, and dependency matrices.
• Oversee engineering risks and dependencies for assigned programs.
• Engage with stakeholders including customers within the lines of business.
• Guide the selection and implementation of appropriate technologies and tools.
• Champion continuous improvement and stay current with emerging technologies.
• Partner with the product organization to drive business outcomes.
• Prepare and deliver regular status updates to stakeholders and leadership.

Skills

Technical program mgmt

Agile project management

Vendor management

Stakeholder management

Data platform architecture

Cloud data platforms

AWS data services

Analytical reasoning

Change management

Tools

JIRA

Confluence

MS Project

Job description

Elevate your career by steering multi-faceted tech programs, integrating innovative solutions for a dynamic impact across global operations.

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutionsthat support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

As a Lead Technical Program Manager at JPMorgan Chase in the Chief Data Analytics Office, you will lead complex, multi-functional technology projects and programs that will impact experiences for multiple groups across the firm, including clients, employees, and stakeholders. With your advanced analytical reasoning and adaptability skills will enable you to break down business, technical, and operational objectives into manageable tasks, while navigating through ambiguity and driving change. With demonstrated technical fluency, you will effectively manage resources, budgets, and cross-functional teams to deliver innovative solutions that align with the firm's strategic goals. Your exceptional communication and influencing abilities will foster productive relationships with stakeholders, ensuring alignment and effective risk management. In this pivotal role, you will contribute to the development of new policies and processes, shaping the future of our technology landscape.

Job responsibilities

• Create and maintain detailed project plans, timelines, and delivery schedules for assigned programs
• Manage day-to-day program execution using JIRA, Confluence, and other project management tools, ensuring accurate tracking of user stories, epics, and sprint progress
• Facilitate agile ceremonies including sprint planning, daily standups, retrospectives, and backlog grooming sessions with engineering teams
• Maintain comprehensive program documentation including status reports, risk registers, RAID logs, and dependency matrices
• Oversee engineering risks, issues, dependencies for assigned programs
• Engage with stakeholders including customers within the lines of businesses
• Guide the selection and implementation of appropriate technologies, platforms and software tools leveraging technical fluency
• Champion continuous improvement by identifying process optimization opportunities, incorporating best practices, and staying abreast of emerging technologies
• Partner with the product organization to drive business outcomes, ensuring that technical programs are aligned with strategic business goals
• Prepare and deliver regular status updates and presentations to program stakeholders and leadership to communicate progress, risks, and blockers

Required qualifications, capabilities, and skills

• 5+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in large organizations
• Hands-on experience with agile project management tools (JIRA, Confluence, MS Project) and proven ability to maintain accurate program artifacts and metrics
• Demonstrated proficiency in technical solutions, vendor product knowledge, managing vendor relations, and implementing solutions
• Strong analytical reasoning skills, applying critical thinking and problem-solving techniques to break down business, technical, and operational objectives
• Proven ability in leading through change, managing dependencies, and controlling change in high-pressure, shifting environments
• Strong skills in stakeholder management, establishing productive relationships, and driving beneficial outcomes aligned with firm objectives
• Understanding of data platform trade-offs including performance optimization, cost management, scalability, and operational excellence
• Deep technical understanding of modern data platform architectures including data lakes, data warehouses, lakehouse architectures, and distributed computing frameworks
• Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake
• Good understanding of AWS data analytics services including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns with demonstrated experience architecting end-to-end data solutions
• Experience navigating complex data governance, security, and compliance requirements across multi-cloud and hybrid data environments at enterprise scale