Agility Lead - Reference Data Engineering
JPMorgan Chase · Chicago, United States · 16d ago
Staff / Lead / PrincipalOn-siteData & Analytics
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
Join our team to foster agile methodologies, encouraging a culture of innovation and high performance in a leading financial institution.
As an Agility Lead in the Corporate Sector's Reference Data Engineering team, you will play a significant role as a champion for the adoption and continuous improvement of Agile practices within our teams. Leveraging your deep knowledge of product development methodologies and Agile principles, use your expert guidance, mentorship, and support to teams to foster a culture of collaboration, innovation, and high performance. As a recognized subject matter expert, put your knowledge to use to work on complex issues, exercise considerable judgment, and make impactful decisions that shape the operational and business direction of your sub-function. Your leadership, communication, and coaching skills will be instrumental in empowering teams to deliver high-quality solutions efficiently and effectively, while continuously adapting to changing requirements and priorities.
Job responsibilities
As an Agility Lead in the Corporate Sector's Reference Data Engineering team, you will play a significant role as a champion for the adoption and continuous improvement of Agile practices within our teams. Leveraging your deep knowledge of product development methodologies and Agile principles, use your expert guidance, mentorship, and support to teams to foster a culture of collaboration, innovation, and high performance. As a recognized subject matter expert, put your knowledge to use to work on complex issues, exercise considerable judgment, and make impactful decisions that shape the operational and business direction of your sub-function. Your leadership, communication, and coaching skills will be instrumental in empowering teams to deliver high-quality solutions efficiently and effectively, while continuously adapting to changing requirements and priorities.
Job responsibilities
- Lead and coach teams to adopt and implement agile methodologies, promote open communication and engagement among team members, and ensure continuous improvement and alignment with organizational goals
- Oversee agility lead practices for enterprise wide group of reference data engineering team
- Uses enterprise-authorized AI capabilities within the work environment to accelerate delivery insights and operational planning (e.g., synthesizing metrics and impediments into actions), validating outputs and handling data according to sensitivity requirements.
- Use advanced communication, facilitation, and presentation skills to manage and influence stakeholders while communicating organizational impediments to leadership
- Develop and implement short to mid-term operational and transformation plans, prioritize tasks and manage resources to achieve product goals in a timely and efficient manner through the utilization of metrics and evidence-based decisions
- Identify trends and generate original ideas to contribute to the development of new policies and best practices within the discipline
- Promotes and standardizes reuse-first, AI-assisted continuous improvement practices across teams (e.g., standardizing templates and lessons learned), ensuring human review and alignment to delivery standards.
Required qualifications, capabilities, and skills
- 5+ years of experience or equivalent expertise in a relevant domain, with a focus on coaching teams and individuals on agile methodologies and project management
- Expertise in agility lead experience of over 100 people for the past years of required experience, per bullet one
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support agile coaching and delivery workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted insights and recommendations before use, escalating when uncertain and following data handling expectations.
- Possess advanced knowledge of multiple product development lifecycle stages, methodologies, and best practices, enabling effective guidance and support for teams
- Display advanced knowledge of agile delivery and multiple agile approaches, including Scrum, Kanban, Extreme Programming (XP), and scaling frameworks, monitoring agility metrics; with the ability to guide teams through complex projects, emphasizing iterative progress and adaptability
- Possess excellent communication and interpersonal skills, with the ability to engage and influence stakeholders at various levels within the organization, effectively guiding group discussions and decision-making processes within the domain context
Preferred qualifications, capabilities, and skills
- Applicable certifications