Technical Project Manager III - Data Risk

JPMorgan Chase & Co.•Plano, TX

About The Position

As a Technical Project Manager III in Corporate Technology - Consumer and Community Banking - Risk Tech team, you will help lead complex, AI-enabled technology projects and programs that promote business outcomes and create values for clients, employees, and stakeholders. You will apply a broad knowledge of technical principles, practices, and theories to design innovative solutions, using strong analytical reasoning and adaptability skills to navigate through ambiguity and change. Leveraging your strong communication skills, you will collaborate with cross-functional teams and manage stakeholder relationships to ensure alignment on objectives, governance, and delivery expectations. By optimizing resources, proactively managing risks, and maintaining execution discipline, you will enable the successful delivery of high-impact initiatives that shape the firm's strategic technology landscape.

Requirements

3+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a fast-paced environment
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support technical 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.
Demonstrated proficiency in applying analytical reasoning and problem-solving techniques to break down business, technical, or operational objectives into manageable tasks and activities
Proven ability to plan and execute programs across scope, resources, dependencies, budgets, governance, and delivery milestones and strong technical fluency, with familiarity in current and relevant platforms, software tools, and technologies
Strong stakeholder management and communication skills, with the ability to influence and engage audiences from engineering teams to executive leadership with a track record of establishing productive working relationships and driving mutually beneficial outcomes
Technical fluency with the ability to translate business and technical objectives into actionable delivery plans and outcomes
Deep knowledge of Agile, Scrum, Kanban, Lean, and scaled delivery practices, including backlog management, road mapping, and delivery planning
Demonstrated leadership in coaching, facilitation, problem-solving, conflict resolution, and driving continuous improvement across teams
Experience managing risks, controls, dependencies, and organizational change while delivering in complex, fast-paced environments
Proven experience leading through the project lifecycle management, including influencing decision makers and adapting to changes as business needs evolve

Nice To Haves

Experience in consumer banking risk domains, including credit risk, fraud, collections, disputes, and technology or operational risk
Knowledge of portfolio governance, value management, OKRs/KPIs, delivery metrics, capacity planning, and product management practices
Experience leading and coordinating work across multiple teams, shared services, vendors, and complex technology ecosystems
Agile and Lean certifications or equivalent hands-on experience (e.g., Scrum, Kanban, SAFe, Lean Six Sigma)
Proven ability to coach teams, facilitate training, and drive product, delivery, and organizational maturity, along with strong written, visual, and verbal communication skills, with the ability to synthesize complex information for leadership audiences
Familiarity with control automation, observability, monitoring, release readiness, and evidence management practices
Practical understanding of AI and experience applying AI-assisted workflows to program delivery, governance, and operational processes

Responsibilities

Develop and execute comprehensive project plans, incorporating technical requirements, resource allocation, and timelines to ensure timely and successful delivery of technology projects and programs
Uses enterprise-authorized AI capabilities within the work environment to accelerate project planning and risk synthesis (e.g., drafting plans, RAID, and status narratives), validating outputs and handling data according to sensitivity requirements.
Identify and mitigate project risks, proactively addressing potential roadblocks and implementing risk management strategies to minimize impact on project or program outcomes
Lead end-to-end delivery of complex technology programs, including planning, scope, resources, budgets, timelines, dependencies, and release milestones
Partner across engineering, product, business, risk, and portfolio stakeholders to align execution with strategic business outcomes
Proactively identify, manage, and mitigate risks, issues, dependencies, and roadblocks to maintain delivery momentum
Collaborate with cross-functional teams, including software development, quality assurance, and business stakeholders, to define project scope, objectives, and deliverables, ensuring alignment with business goals
Coach teams and leaders in Agile, Scrum, Kanban, and Lean practices to improve flow, predictability, transparency, and continuous improvement
Foster a collaborative, inclusive, and high-performing culture through servant leadership, facilitation, and conflict resolution, and drive agile program execution through backlog management, release planning, roadmap coordination, and cross-team delivery governance
Deliver clear executive communications, metrics, and governance insights that translate technical complexity into business value and actionable decisions
Promotes reuse-first, AI-assisted practices for project governance artifacts and reporting, ensuring human review and alignment to delivery standards