Senior Analyst, US Commercialization Decision Intelligence & KDA Solutions

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 . Roles & Responsibilities  Analytics Delivery & AI Enablement  Hands-on build:  Develop, prototype, and code analytical models, datasets, and automation workflows—translating business questions into analytical approaches, executing analyses, and synthesizing findings into actionable recommendations.  Platform contribution:  Contribute reusable components (dashboards, always-on insights, scenario/measurement pipelines) to team self-service analytics hubs such as the Agentic MMx / Always-On Insights (AOI) platform, maximizing reuse and reducing manual effort.  Agile Delivery & Project Management  Sprint-based delivery:  Work within an agile, sprint-based development cycle—participating in sprint planning, backlog refinement, daily stand-ups, reviews, and retrospectives—to deliver analytical and AI product features iteratively and predictably.   Story ownership:  Break down requirements into well-defined user stories, tasks, and acceptance criteria; provide effort estimates and track progress using collaboration and backlog tools (e.g., Jira, Azure DevOps).   Delivery coordination:  Manage the end-to-end delivery of assigned workstreams—tracking timelines, dependencies, risks, and blockers, and proactively communicating status to the Manager/Team Lead and stakeholders.   Release readiness:  Support release planning and deployment activities, ensuring features are demo-ready, documented, and aligned to the definition of done.  Quality Assurance, Testing & UAT  Quality ownership:  Take strong ownership of quality across the analytics and AI product lifecycle—embedding validation, peer code reviews, and best-practice standards into everyday delivery.   Testing:  Design and execute test plans, test cases, and validation checks (data quality, logic, model output, and reconciliation), including unit, integration, and regression testing of analytical assets and pipelines.   UAT:  Plan, coordinate, and support User Acceptance Testing with business stakeholders—preparing UAT scripts and test data, triaging and resolving defects, capturing sign-offs, and ensuring solutions meet business requirements before go-live.   Documentation & traceability:  Maintain clear documentation, defect logs, and traceability from requirements through testing to release, ensuring reproducibility and auditability  Agentic & AI Capability Development  Support the design, development, and testing of autonomous and semi-autonomous analytics agents using multi-agent frameworks, helping progress from descriptive analytics to causal analysis, root-cause insights, and predictive recommendations.  Contribute to the AI product lifecycle—proof-of-concept, pilot, and rollout—while following governance standards for safety, security, ethics, and privacy.  Apply and help operationalize LLMs for commercial use cases such as knowledge retrieval, summarization, generative analytics, and automation of insight generation.  Stakeholder Partnership & Strategic Support  Partner closely with US Commercial stakeholders,