**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 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 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 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 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 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 + Provides input and feedback and works proactively to improve and enhance GPS BI&T capabilities + Supports a culture of analytics and fact-based decision making through the utilization of standard methodologies and approaches **Strengthening Partnerships** + Establishes a close working partnership and relationship with business stakeholders + Effectively partners and collaborates with other BI&T team members (including but not limited to Commercial Analytics, Data Science AI & BI Solutions, etc.) to identify and evaluate current and future analytics needs for GPS and to deliver a consistent BI&T engagement model with stakeholders + Effectively partners and collaborates with a broad set of cross functional counterparts (including Commercial, Procurement and Finance) to achieve organizational objectives + Understands, demonstrates, and drives adherence to all BMS operating policies + Consistently demonstrates the BMS values while partnering with stakeholders. The role could expand over time to include a wider range of supply chain-related analytics, including in areas such as capacity optimization, inventory risk management and customer service optimization. **Qualifications & Experience** **Minimum Qualifications** + Bachelor's degree in business analytics, data science, engineering, finance, or another quantitative field. Advanced degree preferred. + 2+ years of experience with applied machine learning, statistical models, time-series modeling, or quantitative forecasting + 2+ 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 a significant plus + Experience building data visualizations and dashboards in PowerBI or Tableau a plus + Experience building and deploying predictive models (MLOps) 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 + Experience with major GPS applications (including IBP, SAP, Oracle, LIMS, Infinity, MES) a 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 \#LI-Hybrid 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. **On-site Protocol** BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ (https://careers.bms.com/eeo-accessibility) eeo-accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. **Company:** Bristol-Myers Squibb **Req Number:** R1587847 **Updated:** 2024-12-26 03:26:58.028 UTC **Location:** New Brunswick-NJ Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.