Senior Manager, Analytical AI Forecasting and Predictive Solutions

About the role

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. Compensation Overview: 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 ince