Technical Project Manager III / Solution Analyst (Engineering Tools & Productivity (ET&P))

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. 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) ABOUT US