Associate Director, Commercialization AI and Omnichannel Analytics

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 & ResponsibilitiesCommercial & Omnichannel Strategy LeadershipAct as a strategic thought partner to brand, field, and digital leadership on AI-enabled commercialization and omnichannel strategy.Shape and evolve end-to-end omnichannel measurement and optimization frameworks, spanning personal and non-personal promotion.Translate business strategy into advanced analytics roadmaps, ensuring alignment with commercial priorities and transformation goals.Field Effectiveness & AI-Driven Decisioning.Lead analytics supporting field force effectiveness, including targeting, sizing, deployment, and implement next-best-action (NBA) / next-best-engagement (NBE) frameworks leveraging AI and predictive analytics.Evaluate impact of field activity, sequencing, and channel mix on customer behavior and brand performance.Partner with Field Excellence teams to embed analytics into operational workflows and decision processes.Omnichannel Orchestration & OptimizationDevelop and oversee omnichannel orchestration models that optimize engagement across rep-led, digital, and non-personal channels.Lead customer-level and segment-level analyses to optimize channel mix, message sequencing, cadence, and timing.Design, Measurement & ExperimentationOwn the design of robust measurement frameworks to assess reach, engagement quality, conversion, and incremental impact.Lead advanced test-and-learn strategies, including A/B testing, quasi-experiments, and causal inference approaches.Establish gold-standard KPI definitions and success metrics across omnichannel programs.Guide interpretation of results into clear, actionable recommendations for senior stakeholders.Multichannel Spend & Resource OptimizationLead marketing mix modeling (MMM), econometric modeling, and budget optimization efforts across channels.Partner with Commercial leadership to inform investment decisions, scenario planning, and trade-off analyses.Drive optimization of promotional spend to maximize ROI while balancing short-term performance and long-term brand equity.Advanced Analytics & AI EnablementOversee development and deployment of advanced statistical, econometric, and machine learning models (e.g., regression, Bayesian, causal models, optimization algorithms).Ensure analytics solutions are scalable, automated, and integrated into business decisioning.Stay at the forefront of emerging AI/GenAI capabilities and identify high-value commercialization use cases.Leadership, Governance & Capability BuildingLead, mentor, and develop a team of analysts and data scientists; set technical and analytical standards.Establish best practices for analytics governance, data quality, and model validation.Influence stakeholders across Commercial, Digital, IT, and Analytics without direct authority.Champion a culture of data-driven decision making, experimentation, and continuous improvement.Skills and CompetencyDeep expertise in commercial analytics, omnichannel measurement, and optimization.Strong understanding of field force effectiveness, omnichannel engagement models, and customer decision journeys.Advanced knowledge of statistical modelling, econometrics, causal inference, and optimization techniques.Demonstrated ability to translate complex analytics into clear business narratives and executive-ready recommendations.Strong leadership, stakeholder management, and influencing skills.Proven ability to operate in ambiguity and lead transformation initiatives at scaleStrategic mindset with hands-on analytical depth (“player-coach”).Experience & QualificationsBachelor’s or master’s degree in Statistics, Mathematics, Economics, Operations Research, Data Science, or related quantitative field; PhD a plus.15+ years of progressive experience in commercial analytics, decision sciences, or advanced analytics roles within biopharma or pharmaceutical industry.Proven experience leading field effectiveness, omnichannel analytics, and marketing mix optimization.Hands-on experience with statistical and analytics tools (e.g., R, Python, SQL) and visualization platforms (e.g., R Shiny, Dash).Demonstrated experience partnering with senior commercial, marketing, finance, and analytics leaders.Experience leading teams and influencing across matrixed organizations.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 the