Lead Technical Program Manager - Data Platforms Delivery

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase accelerates the firm's data and analytics journey. It ensures data quality, integrity, security, and leverages data to generate insights and drive decision‑making. CDAO also develops and implements solutions that support commercial goals by harnessing artificial intelligence and machine learning to create new products, improve productivity, and enhance risk management responsibly.

As a Lead Technical Program Manager in the CDAO, you will lead complex, multi‑functional technology projects and programs that impact experiences for clients, employees, and stakeholders. You will translate business, technical, and operational objectives into actionable plans, navigate ambiguity, and drive change. With technical fluency, you will manage resources, budgets, and cross‑functional teams to deliver innovative solutions that align with strategic goals. Your communication and influencing skills will foster productive relationships, ensure alignment, and manage risk. You will contribute to developing new policies and processes, shaping the 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, and dependencies for assigned programs.
• Engage with stakeholders, including customers within the lines of businesses.
• Guide 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 align with strategic business goals.
• Prepare and deliver regular status updates and presentations to program stakeholders and leadership, communicating 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 to lead through change, manage dependencies, and control change in high‑pressure, shifting environments.
• Strong stakeholder‑management skills, 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 (Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, 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.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal‑opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.