Manager, Long-Term Demand Forecasting

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Manager, Long-Term Demand Forecasting

The GPS Analytics (Global Product Development and Supply Analytics) team, part of Business Insights & Technology (BI&T), partners with the GPS organization to answer key business questions that drive business strategy using advanced data analytics and data science.

The manager, Long-Term Demand Forecasting is a technical expert responsible for the delivery of long-term demand forecasts for all BMS products, inclusive of commercial and non-commercial demands. The manager will be responsible for contributing to advancing the analytical tools, data science capabilities, and analytical business insights related to long-term demand forecasting for commercial and non-commercial demand for all products, including assets currently in clinical and pre-clinical development (the pipeline). The manager will work with the Associate Director, Long-Term Demand Forecasting to manage the forecasting process, delivering the long-term demand forecast to GPS on a bi-yearly basis. Furthermore, the manager will work with Worldwide Commercialization Analytics to use the long-term financial plan forecasts to inform long-term demand forecasts for all brands. A successful individual in this role will be able to manage multiple demand forecasts, including machine-learning, statistical, and quantitative models, as well as develop and maintain an automated forecasting process using best practices for model development, ML Ops, demand forecasting, and business insights reporting.

Roles & Responsibilities

• Drive the development of new methods for long-term demand forecasting for all products, inclusive of commercial and non-commercial demand.

• Develop new analytical tools and data science capabilities for the delivery of automated long-term demand forecast for the enterprise.

• Responsible for the end-to-end data pipeline for long-term demand forecasting

• Manage and monitor performance of long-term demand forecasts across all BMS products and pipeline

• Identify and implement internal and external data sets to sustain and/or improve forecast accuracy

• Develop the statistical, machine learning, deep learning and/or quantitative forecasting methods to drive efficient, automated forecasting processes for the long-term demand forecast process.

• Work with Worldwide Commercialization Analytics to generate long-term commercial demand forecasts from long-term financial models and forecasts.

• Drive strategic discussions with Global Supply Chain (GSC), GPS Strategy, GTS Business Continuity Management, and Operational Units (OpUs) to utilize analytics/insights to support the long-term supply planning, network strategy, and BCM business processes.

• Engage with subject matter experts and leaders within Global Supply Chain to co-develop the analytics needed to integrate next-generation long-term demand forecasts and analytics into GSC long-range planning processes.

• Effectively partner and collaborate with other Analytics team members to identify and evaluate current and future analytics needs for GPS, and to deliver a consistent Analytics engagement model with stakeholders.

• Partner with Operating Units Analytics & Supply Chain Analytics teams to support functional area analytics needs.

• Proactively measure and communicate value generation from analytics deliveries within GPS and BI&T.

• Proactively identify new opportunities to further leverage analytics, data, and analytical solutions - prioritizing opportunities with the biggest potential benefit to the business.

• Ensure best practice adoption within stated areas of responsibility, applying appropriate levels of technical capability, standardization, and subject matter expertise.

• Proactively manage planned and ad-hoc analytics requests, ensuring appropriate prioritization, consistent quality, and timeliness in delivery to business stakeholders.

• Drive a culture of analytics and fact-based decision making through the utilization of standard methodologies and approaches.

Requirements

• Bachelor's degree in Business Analytics, Data Science, Engineering, Finance, or other quantitative field. Masters or advanced degree preferred.

• 1+ years experience with applied machine learning, statistical models, time-series modeling, or quantitative forecasting

• 1+ years experience with R, SQL and/or Python in production/operational environments

• Experience working with large data sets

• Experience in basic data architecture and database concepts

• Experience in working with probabilistic methods, including Monte Carlo Simulations, probability theory, Bayesian methods

• Experience in the life sciences and/or pharmaceutical industry is desired, but not required

• Strong critical thinking and problem solving skills

• Excellence interpersonal, collaborative, and communication within matrix teams

• Strong project management skills

• Strong written and verbal communication skills

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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 ~~~ . Visit ~~~/ (~~~) 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.

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Company: Bristol-Myers Squibb

Req Number: R1588520

Updated: 2025-01-09 01:04:01.031 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.