Sr. Director, US Commercial AI & Advanced Analytics

Bristol Myers Squibb • Princeton, NJ

23h

About The Position

The Senior Director, US Commercial AI & Advanced Analytics is accountable for enterprise‑grade commercial decision intelligence across BMS, owning the end‑to‑end analytical and AI backbone that drives investment decisions, customer engagement strategy, and performance optimization across brands and therapeutic areas. This role combines innovation leadership with disciplined execution. The Senior Director leads the US Commercial AI & Advanced Analytics to modernize marketing and commercial measurement, and to design, build, and operationalize AI‑enabled decision platforms that accelerate evidence-based decision‑making across Marketing, Brand, Omnichannel, Field, and Commercial teams—raising the bar for how insights inform action at enterprise scale. The role enables TA‑aligned Analytics Leads, sets enterprise standards for Brand Analytics, and oversees a centralized Tools & Automated Solutions pod responsible for delivering scalable, production‑ready analytics products. In close partnership with global delivery leads in Hyderabad, this leader ensures solutions move efficiently from concept to production with consistent quality, speed, and governance. As a senior thought partner to Marketing, Brand Leadership, Omnichannel Strategy, Field Leadership, Finance, BI&T, and Marketing Operations, this position translates complex analytics into clear, executive‑level recommendations that directly influence brand strategy, planning, budgeting, and go-to-market decisions.

Requirements

• Advanced degree in Data Science, Statistics, Computer Science, Economics, or a related field is required.
• Minimum 10 years of experience in pharmaceutical commercial analytics or decision science, with ownership of MMM/MMx, KDA, and resource optimization.
• Minimum 5 years in a leadership role managing analytics teams and cross-functional projects.
• Extensive hands-on expertise in causal inference and incrementality measurement, including geo-experiments, matched-market tests, synthetic control approaches, and uplift modeling.
• Deep proficiency in advanced Bayesian, hierarchical, and econometric marketing mix modeling (MMx) methods such as adstock, distributed lag, and saturation modeling. Experienced in applying these techniques for budget allocation and channel mix optimization, operationalizing always-on MMx platforms with automated data pipelines and decision support for scalable business impact.
• Proven experience with agentic AI architectures, including multi‑agent systems, LLMs, Retrieval‑Augmented Generation (RAG), semantic layers, and real‑time analytics platforms.
• Experience launching, scaling, and operationalizing enterprise AI platforms and always‑on, agentic insights solutions, with a proven track record of embedding AI‑powered tools into daily commercial decision workflows and driving durable, organization-wide adoption.
• Deep familiarity with pharma data assets (claims, APLD, specialty pharmacy, promotional, and digital signals).
• Demonstrated proficiency in AI governance, including risk management, security, data privacy, model monitoring, and human‑in‑the‑loop controls within regulated environments.
• Proven ability to lead cross‑functional Analytics and AI CoE teams, aligning technical delivery with business objectives.
• Experience with cloud analytics platforms (e.g., Databricks, Snowflake), MLOps, semantic layers, and BI tools.
• Working knowledge of data privacy and AI risk management requirements (e.g., HIPAA, GDPR/CCPA).

Responsibilities

• Accelerate Marketing & Commercial Decision Making Enable Marketing and Brand teams with AI‑driven measurement, scenario planning, and optimization to support brand strategy, portfolio decisions, and launch readiness.
• Automate Marketing Mix, Key Driver Analyses (KDA), and budget optimization using agentic AI to reduce cycle time and manual effort.
• Partner with BI&T and Hyderabad team leaders to build analytics‑ready datasets (ARDs) and standardized data products.
• Modernize Brand & Omnichannel Insights Delivery Launch and continuously enhance an agentic MMx platform supporting Brand Analytics, TA Analytics Leads, and Omnichannel teams through self‑service KDA, scenario simulation, and investment planning.
• Integrate analytics outputs into annual planning, portfolio allocation, and media strategy.
• Deploy an always-on insights platform that delivers role-based intelligence tailored to Marketing, Field, and Medical stakeholders. This platform will serve as a 24/7 AI analyst with capabilities in multi-step causal analysis, key driver identification, and actionable recommendations. The solution extends beyond retrospective reporting (“What Happened”) to true root cause analysis and forward-looking (“What’s Next”) insights, empowering brands and omnichannel leadership with continuous, data-driven decision support.
• Drive analytics processes for media data integration, campaign performance measurement, and resource allocation across digital, TV, print, and social channels.
• Oversee experimentation frameworks (e.g., A/B testing, incrementality/causal inference, econometric modeling) to quantify impact and optimize marketing spend.
• Establish enterprise Brand Analytics standards (KPIs, methodologies, storytelling) and ensure consistent application across the portfolio.
• Continuously evaluate and adopt emerging modeling techniques and technologies to maintain competitive advantage.
• Enable TA‑Aligned Teams & Global Delivery Act as the enterprise enablement leader for TA Analytics Leads, providing platforms, standards, and advanced models.
• Partner with Hyderabad‑based analytics and engineering teams to deliver production‑grade solutions at scale, ensuring quality, consistency, and speed.
• Operate within a hub‑and‑spoke model, balancing TA‑specific needs with enterprise reuse and governance.
• Advance Governance, Compliance & Trust Implement data and AI governance (SLAs, RACI, privacy‑by‑design) in partnership with Data Governance, Legal, and Privacy.
• Ensure responsible and explainable AI, including transparency, bias monitoring, documentation, and human‑in‑the‑loop controls.
• Drive adoption through structured change management and feedback loops.
• Tools, Automation & AI Products: Lead a Tools & Automated Solutions pod delivering reusable, production‑ready analytics (self‑service dashboards, always‑on insights, KDA pipelines).
• Define feature stores, deployment patterns, and MLOperations standards in partnership with BI&T.
• Reduce reliance on external vendors through automation, standardization, and platformization.
• AI & Agentic Capability Development: Lead the end‑to‑end design of autonomous and semi‑autonomous AI agents, including multi‑agent architectures.
• Own the lifecycle from proof of concept → pilot → enterprise rollout → continuous optimization.
• Define and enforce AI safety, security, privacy, and ethics standards across all solutions.
• Talent & Stakeholder Leadership: Build, coach, and develop high‑performing analytics and AI leaders in a complex, matrixed environment.
• Present complex analytics in clear, business-first narratives to senior leadership.
• Represent Decision Science & AI in enterprise planning, governance, and omnichannel forums.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level