Sr. Manager -US Commercialization Decision Intelligence & KDA Solutions

Working with UsChallenging. 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 & ResponsibilitiesHands-On MMx & Advanced ModelingDirectly design, build, and validate Marketing Mix Models (MMx), including variable engineering, model selection, diagnostics, and ROI interpretationLead scenario simulations and budget optimization analyses using econometric and optimization techniquesDevelop predictive, causal, and segmentation models to inform brand and omnichannel strategiesEnsure reproducible code, documentation, and scalable deployment frameworksAgentic AI & Advanced Analytics ExecutionBuild and deploy AI-driven decision systems, including predictive models and agentic AI frameworksDevelop prototypes and production-ready models using Python/R and modern ML toolkitsEstablish model validation, monitoring, and recalibration processesEnsure interpretability, transparency, and business alignment of AI outputsModel Trust & AdoptionTranslate technical outputs into clear, defensible business narrativesPartner with Brand, Commercialization AI Strategy and Analytics teams, and other functional teams to embed model outputs into planning processesBuild confidence in advanced analytics through structured validation and sensitivity analysesTalent Development & Capability BuildingActively train and mentor junior analysts and data scientists on MMx, econometrics, AI/ML techniques, and best practicesConduct code reviews and establish modeling standardsBuild reusable playbooks, templates, and modeling frameworksSkills & CompetenciesProficiency with causal inference and incrementality tools (geo-experiments, matched markets, synthetic controls, uplift modeling). Expertise in Bayesian/hierarchical MMx, adstock/distributed lag, saturation/response curve modeling, and operationalizing these methodologies in automated pipelines and platformsProven experience launching and scaling agentic AI solutions (multi-agent systems, LLMs, RAG, semantic layers, real-time architectures).Deep proficiency in enabling agent collaboration, negotiation, and task orchestration, including coordination of agent roles/functions within a commercial analytics or decision science context.Experience & QualificationsBA/BS required; advanced degree preferred with special consideration for degrees in life/physical sciences, applied sciences (computer science, mathematics, data science), or engineering10+ years in pharmaceutical commercial analytics or advanced analytics experience with most of this experience in driving MMx projectsProven track record of personally building and delivering MMx models in US marketExperience training and mentoring analytics teamsProven experience operationalizing LLMs for commercial use cases—knowledge retrieval, summarization, generative analytics, automation of insight generation,Experience embedding AI analytics platforms into commercial workflows with enterprise-wide adoption.Extensive knowledge of pharmaceutical data (claims, APLD, specialty pharmacy, digital signals, promotional data).Strong foundation in AI governance (risk management, security, privacy, model monitoring, human-in-the-loop) in regulated environments.Experience with cloud analytics platforms (Databricks, Snowflake, Spark), MLOps, and BI tools; understanding of HIPAA, GDPR/CCPA and regulatory standards.Mastery of programming and data science tools (Python, R), machine learning frameworks (scikit-learn, PyTorch), large-scale analytics environments, visualization platforms, and workflow automation.Familiarity with CRM (e.g., Veeva), omnichannel metrics, multi-touch attribution (MTA), and AI-driven next-best-action frameworks.Outstanding stakeholder engagement and communication skills—capable of translating complex analytics concepts into actionable business strategies.If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.Uniquely Interesting Work, Life-changing CareersWith a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.On-site ProtocolBMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a