Sr. Manager, Commercial AI and Advanced Analytics

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. Summary: The Sr. Manager, US Commercial AI & Advanced Analytics is a hands-on technical leader and platform engineer who drives the design, development, and deployment of AI-powered commercial analytics platforms — including Agentic AI Marketing Mix Models, RAG-enabled knowledge systems, and interactive decision-support applications — to accelerate data-driven investment, media, and sales force optimization decisions across the US pharmaceutical brand portfolio. This role combines advanced data science with commercial strategy, translating cutting-edge modeling into scalable, governed, and responsibly deployed tools that deliver measurable business impact. This role will help shape how BMS builds the next generation of always-on, agent-enabled measurement capabilities at scale. Responsibilities: AI/ML Development & Marketing Mix Modeling Lead the Agentic AI Marketing Mix Modeling initiative, providing strategic guidance on establishing the Analytical Ready Data (ARD) foundational layer for downstream agentic workflows Evaluate and integrate Bayesian modeling techniques into the Marketing Mix framework, including informed priors, MAP estimates, and parallel MCMC chain orchestration to optimize model stability and predictive accuracy Build and maintain RAG pipelines — integrating Brand Guidelines, KPI knowledge bases, and Azure OpenAI LLMs via APIs — to enable contextual knowledge retrieval and AI-driven narrative insights across structured and unstructured marketing data Implement model validation frameworks, back-testing routines, calibration checks, and sensitivity analyses to ensure model reliability and fitness for use before deployment Architect, deploy, and orchestrate autonomous and semi-autonomous analytics agents within the Agentic platform — including multi-agent coordination, task sequencing, and role/function definition — enabling progression from descriptive analytics through causal analysis, root-cause insights, and predictive recommendations Data Engineering, Platforms & Visualization Collaborate with engineering teams to identify key data sources, define business rules, and validate data schemas on Databricks, ensuring data governance and accessibility Build scalable ETL data pipelines connecting enterprise data warehouses and flat files, optimizing ingestion and analytical efficiency Develop, maintain, and enhance production-grade analytics applications — including interactive dashboards (Streamlit, Dash) and guided chatbot/scenario simulation interfaces (React.js, Python) — supporting Marketing Mix Modeling, promotional tracking, and spend/ROI forecasting Engage brand and commercial stakeholders when technical model questions arise — explaining modeling assumptions, uncertainty, and sensitivity findings in accessible, business-relevant terms Cross-Functional Collaboration & Data Partnerships Partner with BI&T, Data Science, TA Analytics, and Engineering to deliver analytics-ready datasets, feature stores, and semantic layers, standardizing and accelerating insight generation across commercial functions Partner with Brand Commercialization & Operations teams to deliver on-demand data analyses supporting investment and sales force optimization decisions Champion automation and platformization to reduce manual effort and external vendor reliance — identifying and implementing reuse opportunities across the enterprise analytics ecosystem Coordinate with Data Governance, Legal, and Privacy teams to define SLAs, RACI matrices, and privacy-by-design principles for cross-functional analytics programs AI Governance, Compliance & Responsible AI Ensure all AI tools and solutions are explainable, auditable, and compliant with BMS policies and relevant regulatory standards; continuously monitor outputs for bias and incorporate human-in-the-loop mechanisms where required  Champion responsible AI practices — including model documentation, transparency, and lineage from data → model → insight → recommendation — to maintain trust and regulatory readiness  Change Management & Adoption Lead structured change management initiatives, feedback loops, and adoption KPI tracking to drive sustained tool adoption and measurable business outcomes across commercial stakeholders Enable non-technical marketers and business partners to self-serve scenario analyses through intuitive interfaces and comprehensive enablement programs Qualifications: Master’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, Operations Research, or a related quantitative field required; PhD in a quantitative field preferred Analytics & Modeling Minimum 3 years of experience in pharmaceutical commercial analytics, decision science, or advanced analytics; prior experience in a US Commercial pharmaceutical Decision Intelligence function preferred 1 years of hands-on Marketing Mix Modeling experience, including Bayesian, Ridge, and hierarchical econometric methods Proficiency with causal inference tools (geo-experiments, matched markets, synthetic controls, uplift modeling) and experience operationalizing them within automated analytics platforms Familiarity with promotional response data, physician-level engagement metrics, media channel measurement (DTC, NPC, digital), and pharmaceutical data ecosystems (claims, APLD, specialty pharmacy) AI/ML & Agentic AI Experience launching or scaling agentic AI solutions, including LLM integration, RAG frameworks, multi-agent orchestration, and NLU/NLP pipelines Exposure to AI explainability, model risk management, bias monitoring, and human-in-the-loop design patterns Engineering & Technical Stack Advanced Python programming skills with experience in data science frameworks (Pandas, Polars, PyMC, Scikit-learn) Experience with cloud data platforms (Databricks, AWS Redshift) and production data pipelines Proficiency in dashboard and application development (Streamlit, Plotly Dash, React.js) Working knowledge of distributed computing, task orchestration (Celery, Redis), Git, Docker, and CI/CD pipelines Governance & Stakeholder Skills Experience partnering with Data Governance, Legal, and Privacy teams on responsible AI and compliance frameworks; experience defining SLAs, RACI frameworks, and governance structures preferred Proven track record of reducing analytical cycle times through automation, platformization, and change management; enterprise-scale tool adoption experience preferred Experience presenting to senior business stakeholders and translating complex analytics into strategic recommendations preferred Key Competencies Strategic thinking — translating business challenges into analytical frameworks with measurable impact Strong cross-functional collaboration across brand, engineering, BI&T, governance, legal, and leadership teams Excellent communication and data storytelling for both technical and non-technical audiences Deep commitment to responsible AI: explainability, fairness, auditability, and ethical standards High accountability with the ability to manage multiple priorities and iterate quickly in a fast-paced environment 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. Compensation Overview: Princeton - NJ - US: $152,150 - $184,370 
 The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.  Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.   Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include: Health Coverage: Medical, pharmacy, dental, and vision care. Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP). Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support. ​Work-life benefits include: Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day. All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown. *Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program. Uniquely Interesting Work, Life-changing Careers With 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 Protocol BMS 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 positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. Supporting People with Disabilities BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Candidate Rights BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Data Protection We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley. R1603928 : Sr. Manager, Commercial AI and Advanced Analytics