Agility Lead Senior Associate - Digital Portfolio Management

JPMorgan Chase & Co.•Wilmington, DE

About The Position

This role focuses on facilitating the adoption of agile methodologies across multiple teams, guiding the evolution towards AI-enabled ways of working, and coaching teams on leveraging Agile and tooling to drive predictable delivery. The position involves creating a collaborative team environment, enabling agile project delivery through planning and prioritization, and analyzing key barriers across the product development lifecycle. The role also includes managing agile ceremonies and introducing AI-augmented practices.

Requirements

4+ years of experience or equivalent expertise in a relevant domain, with a focus on guiding teams to adopt agile methodologies and practices, including enabling modern AI-augmented delivery patterns.
Comprehensive understanding of multiple product development lifecycle stages, methodologies, and best practices, with the ability to adapt operating models for AI-enabled product delivery.
Proficiency in facilitating group discussions, decision-making processes, and collaborative activities to achieve product goals, including effective facilitation in cross-functional, AI-influenced workflows.
Proficiency in agile delivery and agile approaches, with a developing ability to coach teams toward continuous improvement and high performance, using data-driven metrics and experimentation to validate new ways of working.

Nice To Haves

Kanban and modernization experience (plus), including experience improving flow efficiency and reducing cycle time in evolving delivery environments.
Jira Align experience preferred.
Experience enabling or coaching teams on AI-assisted / agentic delivery practices (e.g., AI-supported refinement, test strategy acceleration, automated routine work, improved knowledge management) while maintaining strong quality, risk, and governance standards.

Responsibilities

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.
Create a collaborative team environment that enables open dialogue and productive conflict resolution, including navigating change introduced by AI-driven workflow shifts and ensuring psychological safety during adoption.
Enable agile project delivery by facilitating quarterly planning and prioritization, incorporating data/AI-informed capacity and dependency insights to support effective resource management and outcome-based planning.
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 items, experiment tracking, decision logs, and continuous improvement metrics).