Manager, Demand Forecasting & Supply Chain Analytics
Apply locations Boudry - CH, Cruiserath - IE, New Brunswick - NJ - US
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.
Position Summary
The GPS (Global Product Development and Supply) Analytics team is a team within BMS Business Insights and Technology (BI&T) that partners with the GPS organization to answer key business questions and drive business strategy using advanced data analytics and data science.
The Manager, Demand Forecasting & Supply Chain Analytics (DF&SC Analytics), is a technical expert who will work towards establishing advanced demand forecasting capabilities for the Supply Chain organization, as well as providing data science capabilities for the broader DF&SC Analytics organization. The manager will collaborate with the Associate Director, Demand Forecasting & Supply Chain Analytics, to manage the forecasting process and integrate new capabilities into the workflow. Additionally, the manager will work with the rest of the GPS organization to analyze data and transform it into actionable insights for the business. A successful individual in this role will advance demand forecasting and supply chain analytics capabilities by utilizing machine learning, statistical, and quantitative models, and will be able to operationalize, interpret, and maintain analytical models using best practices for model development and business insights reporting.
Supporting Business Decisions: Work closely with business stakeholders to address priority business questions within demand forecasting and supply chain analytics. This includes all steps from problem identification and key question development through hypothesis testing, driving analysis, and presenting key findings to leadership.
Driving Analytics and Capabilities: Play a critical role in answering business questions by developing models and using innovative forecasting and decision analysis techniques for predictive and prescriptive analytics across the supply chain.
Strengthening Partnerships: Play a significant role in developing and strengthening the relationship between GPS Analytics and GPS stakeholders. It is critically important for the Manager to understand business processes to build purposeful analytical models and capabilities while also communicating the limitations of those models.
Key Responsibilities
Identifies and contextualizes critical business issues, working to embed an objective and unbiased point of view into the business conversation.
Responsible for a share of the overall statistical forecasting portfolio.
Drives the application of fact-based decision making for key questions within the GPS portfolio enabling priority business choices.
Develops and maintains a deep understanding of GPS business priorities, meeting agreed upon analytics deliverables and timing.
Designs, develops, builds, implements, and maintains a broad array of business analytics and analytical tools that solve complex problems in a computationally and statistically effective manner and following best practices for analytics DevOps.
Identifies new opportunities to further leverage analytics, data, and analytical tools.
Ensures best practice adoption within stated areas of responsibility, applying appropriate levels of technical capability, standardization, and subject matter expertise.
Proactively manages planned and ad hoc analytics requests, ensuring consistent quality and timeliness in delivery to business stakeholders.
Leverages standards for the provision of analytics to support planning and decision-making processes, and utilizes appropriate escalation processes.
Qualifications & Experience
Minimum Qualifications
A degree in business analytics, data science, engineering, finance, or another quantitative field. Advanced degree preferred.
3+ years of experience with applied machine learning, statistical models, time-series modeling, or quantitative forecasting.
3+ years of experience with SQL, Python, and/or R in production/operational environments.
Experience working with large data sets.
Experience in basic data architecture and database concepts.
Experience developing code in a production-grade environment using version control is a significant plus.
Experience building data visualizations and dashboards in PowerBI or Tableau is a plus.
Experience in Operations management and supply chain is a significant plus.
Experience in working with probabilistic methods, including Monte Carlo Simulations, probability theory, Bayesian methods.
Experience in the life sciences and/or pharmaceutical industry is a significant plus.
Strong critical thinking and problem-solving skills.
Excellent interpersonal, collaborative, and communication skills to effectively work in a highly matrixed organization.
Strong written and verbal communication skills in English.
Growth mindset and learning agility is a key need in the role.
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 Careers
With 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 an inclusive culture, promoting diversity 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.
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