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The Role
Leads complex technology programs and data platform initiatives, managing project plans, CI/CD delivery, risks, budgets, resources, governance, and executive reporting. Partners with engineering, product, architecture, data science, and business stakeholders to deliver scalable, secure, resilient platforms. Applies analytical reasoning, agile practices, AI-assisted program governance, and data-driven optimization within a regulated financial services environment.
Summary Generated by Built In
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
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.
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. Visit our FAQs for more information about requesting an accommodation.
Skills Required
- 10+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a large organization
- Experience using enterprise-authorized AI capabilities to support program management workflows, with strong validation habits and data-sensitivity awareness
- Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data-handling expectations
- Advanced stakeholder management skills, including establishing productive relationships and influencing decisions across cross-functional teams and clients
- Experience managing resources, budgets, and high-performing teams in a fast-paced agile environment
- Proficiency in analytical reasoning and problem-solving to break down business, technical, or operational objectives into manageable tasks
- Experience delivering modern data stacks, including cloud data platforms, lakehouse or warehouse patterns, and streaming platforms
- Experience with data governance and controls, including access controls, privacy and PII handling, auditability, SDLC/change management, and operational resilience
- Familiarity with CI/CD practices for data and platform delivery, including policy-as-code, automated testing, vulnerability scanning, artifact management, and environment promotion
- Experience enabling analytics and machine learning ecosystems, including curated datasets and feature pipelines
- Relevant PMP, SAFe, Scrum, AWS, or Azure certifications, or experience with Databricks, Snowflake, Kafka, Airflow, AWS, or Azure
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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The Company
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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