Technical Project Manager III / Solution Analyst

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Solution Analyst / Technical Project Manager within the Engineering Tools & Productivity team to lead complex technology programs that align with business goals.

You will drive requirements, roadmaps, and risk management while guiding cross-functional teams in a fast-paced environment. The role emphasizes data-driven decisions and adoption of agile practices to improve delivery and productivity.

Qualifications

• 4+ years of experience in technical project management leading complex technology initiatives.
• Strong stakeholder management skills with ability to influence decisions across engineering, product, and business leaders.
• Proven ability to reason through system behavior, production issues, and reliability trade-offs with senior engineers.
• Experience managing dependencies, risks, and delivery in agile environments.
• Data-driven approach with ability to define metrics/OKRs and measure impact.
• Fluent understanding of CI/CD, SDLC, release engineering, observability, and incident management.
• Experience using enterprise AI capabilities to support solution analysis workflows with strong validation.

Responsibilities

• Develop and execute comprehensive program plans to ensure on-time delivery of ET&P capabilities.
• Define requirements, success metrics/OKRs, and roadmaps aligned to business and developer outcomes.
• Identify and mitigate risks; address roadblocks and implement contingency plans.
• Drive cross-functional execution across engineering, product, architecture, cybersecurity, and operations.
• Establish program operating rhythm including intake, prioritization, dependency management, release planning, and governance.
• Champion adoption of agile ways of working and continuous improvement.
• Drive programs that deliver CI/CD and release capabilities with engineering teams and track outcomes.
• Leverage data-driven insights to improve adoption and productivity (usage, metrics, incident trends, lead time).
• Utilize enterprise AI capabilities to accelerate requirements synthesis and architecture documentation.

Skills

Stakeholder management

Agile delivery

Data-driven decision making

Technical program management

CI/CD knowledge

Cross-functional leadership

Risk & dependencies management

Analytical reasoning

Tools

CI/CD tooling

Observability tools

AI/automation workflows

Job description

Join our dynamic team to innovate and drive technology advancements, where you can push the limits of what's possible.

As the Solution Analyst / Technical Project Manager within the Engineering Tools & Productivity (ET&P) team, you will spearhead the delivery of complex technology projects and programs that align with the firm's business objectives. Your expertise in technical principles, practices, and theories will be crucial in developing innovative solutions while efficiently managing resources, budgets, and high-performing teams. Your strong analytical reasoning and adaptability will help you navigate ambiguity and change, ensuring technology initiatives are in sync with business goals. With advanced communication and stakeholder management skills, you will cultivate productive relationships and influence decision-making to achieve mutually beneficial outcomes. As a subject matter expert, you will contribute to operational planning and risk management strategies, ensuring service delivery is of the highest quality and professionalism. The ET&P team aims to simplify the work of our 16,000 Consumer and Community Banking Engineer colleagues. Your deep technical knowledge—including hands-on experience with CI/CD, automation, and data-driven decision-making - will be vital in managing programs that foster the creation and adoption of innovative solutions to fulfill this mission. Success in this role involves understanding the purpose of ET&P’s capabilities to ensure they meet customer needs and collaborating with engineer customers and their leadership to promote adoption.

Job responsibilities

• Develop and execute comprehensive program plans (scope, milestones, dependencies, resourcing, timelines) to ensure on-time delivery of ET&P capabilities
• Partner with engineering and product to define requirements, success metrics/OKRs, and roadmaps aligned to business and developer outcomes
• Identify and mitigate risks; proactively address roadblocks and implement contingency plans to maintain momentum
• Drive cross-functional execution across engineering, product, architecture, cybersecurity, and operations to deliver integrated outcomes
• Establish and maintain program operating rhythm (intake, prioritization, dependency management, release planning, status reporting, and governance)
• Champion adoption of agile ways of working and continuous improvement across teams
• Drive programs that deliver and improve CI/CD and release capabilities by partnering with engineering teams; define requirements, manage roadmap/dependencies, and track outcomes
• Leverage data-driven insights to improve adoption and productivity (e.g., active usage, DORA metrics, incident trends, lead time)
• Uses enterprise-authorized AI capabilities within the work environment to accelerate requirements synthesis, solution optioning, and architecture documentation, validating outputs and handling data according to sensitivity and security requirements

Required qualifications, capabilities, and skills

• 4+ yearsof experience (or equivalent expertise) in technical project management leading complex technology initiatives in large organizations
• Strong stakeholder management skills with ability to influence decisions across engineering, product, and business leaders
• Demonstrated ability to independently reason through system behavior, production issues, and reliability/scalability trade-offs with senior engineers
• Proven track record managing dependencies, risks, and delivery in fast-paced, agile environments
• Strong data-driven approach: ability to define metrics/OKRs, measure impact, and drive continuous improvement
• Technical fluency across modern engineering practices (CI/CD, SDLC, release engineering, observability, incident management)
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support solutions analysis workflows with strong validation habits and awareness of data sensitivity
• Ability to review and validate AI-assisted analyses and recommendations before use, escalating when uncertain and following data handling expectations

Preferred qualifications, capabilities, and skills

• Experience partnering with senior engineering and business leaders to drive adoption of new capabilities and demonstrate measurable outcomes
• Experience applying AI/automation to reduce engineering toil and improve delivery efficiency (e.g., test automation, release validation, incident triage, developer self-service)