Technical Project Manager III - Data Risk

JPMorgan Chase & Co.; Plano (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Technical Project Manager III to lead AI-enabled technology projects within Corporate Technology - Consumer and Community Banking - Risk Tech.

You will design innovative solutions, navigate ambiguity, and drive delivery with cross-functional teams, balancing technical and business goals. You will coach teams in Agile practices, manage stakeholders from engineering to executive leadership, and promote high standards for governance, risk, and value delivery across

Qualifications

• 3+ years in technical program management leading complex technology projects.
• Experience using AI capabilities to support PM workflows with data sensitivity awareness.
• Ability to review AI-assisted plans and risks before use, with proper escalation.
• Strong analytical reasoning to break down objectives into manageable tasks and activities.
• Proven ability to plan and execute programs across scope, budgets, governance, and milestones.
• Excellent stakeholder management and communication with cross-functional and executive audiences.
• Translate business objectives into actionable delivery plans.
• Deep knowledge of Agile, Scrum, Kanban, Lean and scaled delivery.
• Leadership in coaching, facilitation, conflict resolution, and continuous improvement.
• Experience managing risks, controls, dependencies, and organizational change.

Responsibilities

• Develop and execute comprehensive project plans with technical requirements and timelines.
• Leverage AI capabilities to accelerate planning and risk synthesis while handling data per sensitivity rules.
• Identify and mitigate project risks and roadblocks; implement risk strategies.
• Lead end-to-end delivery of complex technology programs, including budgets and milestones.
• Partner with engineering, product, business, risk, and portfolio stakeholders to align outcomes.
• Identify, manage, and mitigate risks, issues, dependencies, and roadblocks to keep momentum.
• Collaborate with cross-functional teams to define scope, objectives, and deliverables.
• Coach teams in Agile, Scrum, Kanban, and Lean practices to improve flow and predictability.
• Foster a collaborative, inclusive culture and drive agile program execution and governance.
• Deliver executive-grade communications, metrics, and governance insights.
• Promote AI-assisted governance artifacts with human review and delivery standards.

Skills

Technical PM

AI in PM

Agile Scrum Kanban

Stakeholder management

Risk management

Executive communication

Cross-functional leadership

Delivery planning

Problem solving

Job description

Join our dynamic team to innovate and drive technology advancements, contributing to significant business growth and client success.

As a Technical Project Manager III in Corporate Techology - 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-fuctional 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.

Job 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

Required qualifications, capabilities, and skills

• 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

Preferred qualifications, capabilities, and skills

• 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