Senior Manager, Supply Chain 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 rich in diversity. 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.

Position Summary

The GPS (Global Product Development and Supply) Analytics team is an organization within the BMS Business Insights and Technology (BI&T) Function focused on partnering with the BMS GPS group to answer key business questions that will drive important decisions using data and advanced analytics. These questions span a broad range of areas from Global Supply Chain, through Manufacturing Operations, Quality and Business Strategy.

The Sr Manager, Demand Forecasting & Supply Chain Analytics is an individual contributor position and will play a leading role in establishing analytics capabilities for the Supply Chain organization, GPS and the broader BI&T organization. This person will enable the Supply Chain organization to make informed business decisions using all phases of the analytical life cycle (Descriptive, Predictive and Prescriptive).

This is an ideal role for someone looking to further strengthen and enhance their analytical skills and apply them to solving major challenges in biopharmaceutical supply chain. The initial focus of the role will be on strengthening the Team’s analytical foundations, so we are seeking candidates with advanced analytical engineering skills and a desire to apply those on our team while also expanding their capabilities into other branches of analytics, such as predictive modeling, decision intelligence and AI.

Key Responsibilities

The position will focus on four key areas of responsibility:

• Strengthening Analytical Foundations: Play a leading role in furthering the Team’s DevOps process, including advancing the team’s core data foundations and capabilities in analytical engineering and building solutions that are scalable and reusable.

• Supporting Business Decisions: Work closely with business stakeholders to address priority business questions using analytics. This includes all steps from problem identification and key question development through hypothesis testing, driving analysis and presenting findings to leadership.

• Enhancing Analytics Capabilities: Play a critical role in furthering the team’s overall analytics capabilities, in diverse areas such as predictive modeling, decision intelligence, ML Ops and AI.

• Strengthening Partnerships: Play an important role in developing and strengthening the relationship between BI&T and GPS stakeholders at all levels. It will be critically important for the person in role to understand business processes to build analytical models and capabilities.

The ideal candidate with be comfortable with the breadth and ambiguity that comes with focusing on solving critical business problems using analytics.

Qualifications & Experience

Minimum Qualifications

• BS required in operations research, engineering, statistics, or other quantitative area of study. Advanced degree preferred.

• 3+ years hands-on analytical engineering experience. We will consider less experience for exceptional advanced degree candidates with a strong interest in developing analytical engineering skills further.

• Expertise in programming with SQL and Python.

• Expert with version control practices and tools, preferably Git/Github.

• Experience building scalable data models in dbt or a similar tool.

• Experience with ML Ops practices including CI/CD and tools such as MLFlow.

• Experience with cloud-based environments (AWS preferred).

• Experience building data visualizations (PowerBI or Tableau preferred).

• Ability to develop and implement production-ready analytic and data scienc