Data Engineering Lead Technical Program Manager

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Engineering Lead Technical Program Manager in the Consumer and Community Bank - Data Technology team.

You will drive delivery of complex technology programs, leveraging your deep technical expertise and leadership to ensure alignment with business goals and risk controls. You will manage resources, budgets, and high-performing teams while applying agile practices and data governance principles.

Qualifications

• 5+ years of experience in technical program management leading complex technology projects.
• Strong stakeholder management and ability to influence across cross-functional teams and clients.
• Experience with AWS, Snowflake, Databricks and ETL tools.
• Knowledge of data governance and data management processes and tools.
• Experience managing resources and budgets in an agile environment.
• Analytical reasoning to break down objectives into tasks.
• Experience using enterprise-approved AI capabilities for program management workflows.
• Ability to review and validate AI-assisted plans and risks.

Responsibilities

• Develop and execute comprehensive project plans with technical requirements, resources and timelines.
• Leverage AWS Snowflake, Databricks and ETL knowledge to manage data engineering programs.
• Identify and mitigate risks and implement contingency plans.
• Collaborate with cross-functional teams to define scope, objectives and deliverables.
• Analyze program performance and drive data-driven optimizations.
• Utilize AI capabilities to accelerate planning, RAID and executive updates with data sensitivity.
• Promote reuse-first, AI-assisted governance and reporting practices.
• Champion agile methodologies and continuous learning within the team.

Skills

Stakeholder management

Technical program management

Analytical reasoning

Vendor relations

Agile methodologies

AI capabilities usage

Risk management

Cross-functional collaboration

Tools

AWS

Snowflake

Databricks

ETL

Job description

Leverage your deep technical expertise and leadership to guide cutting-edge projects, fostering growth and innovation in a dynamic environment.

As a Data Engineering Lead Technical Program Manager in the Consumer and Community Bank- Data Technology team, you will drive the successful delivery of complex technology projects and programs 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 simultaneouslyeffectively 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
• Leverage knowledge of AWS Snowflake, Databricks, and ETL and an understanding of data management, data governance processes and tools to manage technology programs in area of Data Engineering
• 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
• 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.
• Champion the adoption of agile methodologies and technical solutions, fostering a culture of continuous learning and innovation within the team

Required qualifications, capabilities, and skills

• 5+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a large organization
• Advanced expertise in stakeholder management, with the ability to establish productive working relationships and influence decision-making across cross-functional teams and clients
• Knowledge of AWS Snowflake, Databricks, and ETL
• Understanding of data management, data governance processes and tools
• Advanced experience in utilizing technical fluency, including knowledge of vendor products and managing vendor relations, to enable on-demand access to shared pools of applications and services
• 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
• 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.

Preferred qualifications, capabilities, and skills

• Financial Services experience