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Sr. Director, US Commercial AI & Advanced Analytics

Job in Princeton, Mercer County, New Jersey, 08543, USA
Listing for: Bristol-Myers Squibb
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

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.

Summary

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.

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 to true root cause analysis and forward-looking 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…
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