At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.
Position Summary:
Product Development and Supply (PDS) Business Insights & Technology (BI&T) is transforming how the organization uses data, analytics, and Applied AI to accelerate the delivery of medicines to patients. As part of this evolution, PDS BI&T Analytics Development is moving from delivering local, bespoke analyses to delivering durable Analytics Products, models, and tools that let both people and AI unlock insights across PDS, built by small, rapidly deployed teams embedded with business experts.
Are you energized by the challenge of making manufacturing more efficient while reducing the risk of quality failures and supply disruption? Do you know how to combine numerical optimization, predictive modeling, and Applied AI to solve problems at global scale? Are you equally comfortable leading a large, distributed team of data scientists and analytics professionals and holding your own with senior manufacturing, quality, and technology executives? If so, this role might be for you.
The successful candidate will be an experienced analytics and data science leader who can set the technical direction for a global team and partner with executives across PDS to turn analytics into better decisions on the manufacturing floor. This individual will lead the Manufacturing Optimization and Risk Analytics team, which builds tools that help PDS manufacture as efficiently as possible by using optimization, variability projection, advanced analytics, and Applied AI to predict and mitigate risk across Quality, Equipment, Technology, and Process. This role will lead a global team of 17-22 analytics and data science professionals supporting all PDS manufacturing sites, including a team leader focused on Quality and Manufacturing Risk, and will partner closely with CTDO, GBU, GQ, and GTS.
Key Responsibilities
Lead the Manufacturing Optimization and Risk Analytics Team
Lead, manage, and coach a global team of 17-22 data scientists, analytics professionals, and team leaders supporting all PDS manufacturing sites, building a high-performing, inclusive team and developing the next generation of leaders
Give team members autonomy to prioritize and more room to deliver new capabilities, while ensuring work is aligned to the PDS Digital strategy and Prioritized Digital Products
Shape the team structure as the organization evolves toward product-centric development, balancing skills across data science, business acumen, and Applied AI
Drive the shift from bespoke analysis to reusable Analytics Products, instilling a customer-centric, outcomes-driven mindset and embracing small, embedded Fusion team models for rapid delivery
Provide Technical Leadership in Data Science and Analytics
Set the technical vision and standards for numerical optimization, variability projection, predictive risk modeling, and Applied AI across the portfolio, ensuring methods are rigorous, explainable, and fit for use in a regulated manufacturing environment
Guide the team in adopting agentic coding tools and modern data infrastructure to increase delivery speed, reuse, and the quality of analytics solutions
Review and challenge technical approaches, model design, validation, and performance monitoring, and serve as the escalation point for complex problems
Build Applied AI capabilities that embed directly in PDS decision making, enabling both people and AI to surface insights and act on them
Stay current on advances in data…