Manager, Demand Forecasting & Supply Chain Analytics Brunswick - NJ - US R1602578 Posted

Position: Manager, Demand Forecasting & Supply Chain Analytics New Brunswick - NJ - US R1602578 Posted 20[...]
## Manager, Demand Forecasting & Supply Chain Analytics New Brunswick - NJ - USFind out how well you match with this job
** 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. Read more:  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, 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 Analytics organization. The Manager collaborate to manage the forecasting process and integrate new capabilities into the workflow. Additionally, the Manager will work with the Commercialization Analytics team to use financial and patient-based forecasts to inform demand forecasts, and with the Supply Chain organization to contextualize forecasts 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 these models using best practices for model development, MLOps, and business insights reporting.·         
** Supporting Business Decisions:
** Work closely with business stakeholders to address priority business questions within a 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 Sr.Manager/Manager  to understand business processes to build purposeful analytical models and capabilities while also communicating the limitations of those models.
** Key Responsibilities*
* *** Supporting Business Decisions**
* · Identifies and contextualizes critical business issues, working to embed an objective and unbiased point of view into the business conversation.
· 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
*** Driving Analytics and Capabilities**
* · 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 Dev Ops
· Identifies new opportunities to further leverage analytics, data, and analytical tools
· Ensures best practice adoption within stated areas of responsibility, applying appropriate…