Join our dynamic team to advance agile methodologies, fostering innovation and high-quality solution delivery in a collaborative environment.
As an Agility Senior Associate at JPMorgan Chase within the Commercial & Investment Bank, 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.
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
- Enable agile project delivery by facilitating the prioritization of tasks and managing resources to effectively address complex situations to achieve project goals
- 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.
Required qualifications, capabilities, and skills- 3+ years of experience or equivalent expertise in a relevant domain, with a focus on guiding teams to adopt agile methodologies and practices and a comprehensive understanding of multiple product development lifecycle stages, methodologies, and best practices
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support agile delivery workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted summaries and recommendations before use, escalating when uncertain and following data handling expectations.
- Proficiency in facilitating group discussions, decision-making processes, and collaborative activities within teams to achieve product goals
- Proficiency in agile delivery and agile approaches, with a developing ability to coach teams and strive for continuous improvement and high performance
- Expertise in technical program management, leading complex technology projects and programs in a large organization
- Hands-on experience with AI platforms such as ChatGPT, LLM Suite, or similar enterprise AI tools, including integration with JIRA for ticket creation, updates, maintenance, workflow automation, and issue management
- Proven experience leading or governing release management for complex technology deliveries (planning, readiness, dependency management, go/no-go, cutover, and post-release stabilization), partnering effectively across product, engineering, and operations
- Expertise with Agile and Scrum frameworks and their application in Product Development and delivery organization
- Ability to collaborate with and influence people at various levels; possess an executive presence and Ability to coach and mentor
- Sound understanding of Scaling framework such as LeSS and various other Agile frameworks such as Kanban, XP and Knowledge of industry-wide technology trends and best practices
Preferred qualifications, capabilities, and skills- Proven track record in leveraging automation tools to monitor, facilitate, and communicate throughout the release lifecycle
- Understanding of MCP agents and their integration with platforms such as JIRA MCP or similar AI solutions
- Strong awareness of emerging trends in AI, including generative AI, prompt engineering, and responsible AI practices
- Familiarity with programming languages such as Java or Python
- Experience participating in events like hackathons is a strong plus
- Exposure to cloud technologies
