Agility Lead Senior Associate - Digital Portfolio Management
JPMorgan Chase
- Location
- Wilmington, DE, United States
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 1,524 approvals (FY2023)
- Posted
- Aug 31, 2026
Skills
About this role
Join our dynamic team to advance agile methodologies, fostering innovation and high-quality solution delivery in a collaborative environment. As an Agility Senior Associate in Consumer Community Banking Digital Portfolio Management team, you will contribute to the team by guiding and supporting solution delivery teams in adopting and adapting agile practices throughout the product development lifecycle. Leveraging your advanced knowledge of agile principles, you will facilitate group discussions, decision-making processes, and collaborative activities to build continuous improvement and high performance. Your expertise in coaching, communication, and leadership will enable you to effectively manage complex projects, foster a culture of innovation, and enable the successful delivery of high-quality solutions. You will guide and support solution delivery teams in adopting and tailoring agile practices across the entire product development lifecycle—modernized for AI-enabled delivery. Leveraging advanced knowledge of agile principles and contemporary product operating models, you will facilitate group discussions, promote effective decision-making, and lead collaborative activities that drive continuous improvement and high performance. In addition, you will help teams introduce new ways of working in an agentic world, where AI assistants and agentic workflows augment analysis, documentation, testing, operations, and delivery execution. You will coach teams on integrating AI into day-to-day ceremonies and execution (e.g., backlog refinement, story slicing, acceptance criteria, risk/controls checks, test strategy, and release readiness), while ensuring strong governance, transparency, and quality outcomes.
Job responsibilities
Facilitate the adoption and adaptation of agile methodologies within teams and provide guidance, training, and support to propel continuous improvement and high performance Uses enterprise-authorized AI capabilities within the work environment to accelerate delivery planning and agile artifact creation (e.g., synthesizing inputs into action items), validating outputs and handling data according to sensitivity requirements. Create an environment of collaboration within the teams that allows for open dialogue and productive solutions for resolving conflicts, including navigating change introduced by AI-driven workflow shifts and ensuring psychological safety during adoption. Enable agile project delivery by facilitating the prioritization of tasks and managing resources to effectively address complex situations to achieve project goals, incorporating data/AI-informed capacity and dependency insights to support effective resource management and outcome-based planning. Analyze and interpret policies, identify key barriers, and apply your critical thinking skills to address challenges within the product development lifecycle. Promotes reuse-first, AI-assisted continuous improvement routines (e.g., retrospectives and delivery insights), ensuring human review and alignment to delivery standards. Facilitate the adoption of agile methodologies across multiple teams, and guide the evolution toward AI-enabled, agentic ways of working (e.g., AI-assisted discovery, delivery, testing, and documentation) while reinforcing consistent agile best practices. Coach teams on leveraging Agile and tooling (e.g., Jira) to drive predictable delivery, and on incorporating AI copilots/assistants to improve backlog clarity, story readiness, acceptance criteria quality, and delivery flow—while maintaining human accountability. Analyze and identify key barriers across the product development lifecycle, including impediments to scaling AI-enabled delivery (e.g., inconsistent practices, quality risks, governance gaps), and apply critical thinking to drive sustainable improvements. Manage agile ceremonies (daily scrums, sprint planning, reviews, retrospectives), and introduce AI-augmented practices (e.g., faster synthesis of action