Senior Manager, Analytical AI Forecasting and Predictive Solutions

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: careers.bms.com/working-with-us.

Description: This role is responsible for leveraging technical expertise to develop and deploy cutting-edge data science and machine learning solutions across all Forecasting applications, with focus primarily on Commercial Demand. This role is pivotal in transforming our enterprise forecasting capabilities, shaping strategies, and implementing advanced methodologies, processes, and technologies that will accelerate insight generation and enhance decision-making and planning across the organization.

 

Key Responsibilities and Major Duties:

• Contribution to Analytical AI Community: Contribute as part of a dynamic group of data scientists, machine learning engineers, and forecasting SMEs. Help inspire and shape the organizational mindset to leverage forecasting as a strategic tool for identifying risks and opportunities, driving impactful decision-making and planning.
• Development, implementation, maintenance, and analysis of AAI Forecasting Solutions: Contribute to the build of advanced forecasting models using statistical, machine learning, and AI techniques. Lead analyses of large datasets to identify trends, patterns, and insights that inform forecasting models. Collaborate with cross-functional teams, including finance, marketing, and operations, to understand business needs and translate them into data-driven forecasting solutions. Continuously monitor and improve the accuracy and performance of forecasting models. Communicate complex data insights and forecasting results to stakeholders in a clear and actionable manner. Design and conduct experiments to validate model assumptions and improve forecasting accuracy. Develop and maintain documentation for forecasting models, processes, and procedures. Provide mentorship and guidance to junior data scientists and analysts within the team.
• Continuous Innovation: Stay up-to-date with latest advancements in data science, machine learning, and forecasting methodologies; seek new opportunities to deploy next-generation capabilities that drive high impact across the enterprise.
• Best Practices Implementation: Partner with stakeholders to facilitate and implement best practices in forecasting, data science, and machine learning. Continuously monitor the external data science landscape to identify and apply new capabilities that support technological evolution and business performance.
• Cross-Functional Collaboration: Work collaboratively with analytics and business stakeholders to propose and implement innovative methodologies, process improvements, and technology solutions. Engage with Finance, Commercial, Market Access, and Analytics teams in the preparation, presentation, and discussion of forecasting results.
• Performance Monitoring and Analytics: Contributes to the performance and impact assessments of newly deployed capabilities across the portfolio.

 

Qualifications/Degree/Certification/Licensure:

• Educational Background: BA/BS required (quantitative area of study preferred). MBA or other graduate degree preferred.
• Technical Proficiency: Proficiency in Python/R, SQL, Tableau, and MS Office Suite. Experience with Git and cloud-based environments (AWS, Azure, etc.) and/or experience in commercial forecasting is preferred.
• Communication Skills: Excellent communication and presentation skills, with a proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.
• Experience: A minimum of 3 years of hands-on experience in advanced analytics and data science. Hands-on experience with pharmaceutical forecasting is preferred.
• Cross-Functional Collaboration: Proven experience in operating large, complex projects with multi-functional team members.

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.

Princeton - NJ - US: $152,150 - $184,370 


The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. 

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.
 

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:

• Health Coverage: Medical, pharmacy, dental, and vision care.

• Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).

• Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

​Work-life benefits include:

Paid Time Off

• US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)

• Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.

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 a supportive culture, promoting global participation 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 an 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.

Supporting People with Disabilities

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/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

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/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1603468 : Senior Manager, Analytical AI Forecasting and Predictive Solutions