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Manager, Development to Launch Analytics

Job in New Brunswick, Middlesex County, New Jersey, 08901, USA
Listing for: Bristol Myers Squibb
Full Time position
Listed on 2026-06-27
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below

Manager, Development to Launch 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.

At Bristol Myers Squibb, we are inspired by a single vision – transforming patients' lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

Position

Summary

The Product Development and Supply (PDS) Analytics team is part of Business Insights & Technology (BI&T) function  analytics team members partner with the PDS organization to answer key business questions that drive business strategy using advanced data science, analytics and AI. The Manager, Development to Launch Analytics, will be part of a collaborative data science and business insights team dedicated to answering key business questions for the enterprise, and will report to the Senior Director;
Development to Launch Analytics. The Manager will develop advanced analytics and AI tools to answer business strategy questions for the member functions that enable end-to-end drug development and product launch activities, including Product Development, Cell Therapy Development, Clinical Supply Chain and Manufacturing Science & Technology.

Roles & Responsibilities

The Manager, Development to Launch Analytics will partner with stakeholders from the member functions and the Business Insights and Technology team to develop and deploy new analytic capabilities to answer key business questions for PDS.

Key responsibilities include:

  • Supporting Business Decisions - Work closely with PDS senior leaders to identify and address priority business questions related to CMC development, new product introduction and business operations.
  • Develop and Deploy Analytics and AI Capabilities – Answer key business questions using innovative analytic and data science techniques. Support the development of core analytical and data science tools including AI and machine learning models, ETL (extract, transform, and load) data processes, and statistical methodologies.
  • Driving Team Productivity and Operational Excellence – Consistently apply coding and data analysis best-practices and standards within the PDS BI&T aligned tech stack.
Qualifications & Experience

Bachelor's degree in Data Science, Engineering, Business Analytics, Finance, or other quantitative field with 4+ years of experience in data science, data analytics, applied AI/machine learning and/or statistical models

OR

Ph.D. in Data Science, Engineering, Business Analytics, Finance, or other quantitative field with 1+ years of experience in data science, data analytics, applied AI/machine learning and/or statistical models

Demonstrated proficiency in data science and data engineering, including SQL, Python, dbt in production/operational environments

Experience in basic data architecture and database concepts

Experience in working with probabilistic methods, including Monte Carlo Simulations, probability theory, Bayesian methods is a plus.

Experience in the life sciences and/or pharmaceutical industry preferred

Experience interacting with business stakeholders: understanding, anticipating, and fulfilling their insight/analytical information requirements.…

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