Scrum Master III

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

Position Summary

The Scrum Master will join the Commercial Data and AI team to enable Agile delivery across data, analytics, and AI initiatives. This role will facilitate Scrum ceremonies, remove impediments, strengthen team ways of working, and support transparent communication across product, technology, business, leadership, and vendor stakeholders to deliver high-quality outcomes.

Key Responsibilities

• Serve as Scrum Master and servant leader for Agile teams within Commercial Data and AI, facilitating sprint planning, daily stand-ups, reviews, retrospectives, and cross-functional ceremonies.

• Manage Agile delivery activities in Jira, including boards, workflows, dashboards, filters, reporting, permissions, and governance standards.

• Partner with Product Managers, Technical Managers, and stakeholders to support backlog readiness, prioritization, sprint planning, dependency tracking, and delivery decision-making.

• Identify, escalate, and help resolve impediments, risks, issues, and cross-team dependencies that may impact delivery timelines, scope, quality, or team productivity.

• Track and report delivery metrics, including velocity, capacity, throughput, cycle time, burndown, delivery predictability, automation impact, AI adoption, and operational efficiency.