Senior Director, Manufacturing Optimization and Risk Analytics

Bristol-Myers Squibb Co; Cruiserath; On-site; EUR 150,000 - 230,000; Full time

Benefits offered by this job

Competitive salary

Annual bonus

Pension contribution

Life assurance

27 days of annual leave

On-site gym at Cruiserath

Job summary

Bristol Myers Squibb is seeking a Senior Director to lead Manufacturing Optimization and Risk Analytics within the PDS BI&T Analytics Development group. You will guide a global team of data scientists and analytics professionals, shaping product-centric analytics to improve manufacturing efficiency and reduce risk across Quality, Equipment, Technology, and Process.

You will partner with executives to translate business challenges into analytics solutions, build reusable analytics products, and

Qualifications

• Bachelor's degree in data science, statistics, engineering, operations research or similar quantitative discipline; advanced degree preferred.
• 12+ years of experience in data science, analytics, or operations research, including 5+ years leading data science teams.
• Experience leading globally distributed teams across multiple sites/time zones.
• Strong depth in applied ML, optimization, and statistical modeling, with hands-on guidance.
• Experience applying analytics to manufacturing, supply chain, quality, or regulated industries.

Responsibilities

• Lead the Manufacturing Optimization and Risk Analytics team across PDS to build reusable analytics products.
• Provide technical leadership in data science, optimization, and AI across the portfolio.
• Drive adoption of modern data infrastructure and agentic coding tools to speed delivery.
• Align analytics initiatives with PDS Digital strategy and measurable business value.
• Collaborate with executives and site leadership to prioritize analytics investments.

Skills

Data science leadership

Global team leadership

Applied AI / ML

Optimization modeling

Manufacturing analytics

Stakeholder management

Communication skills

Education

Bachelor's degree in data science or engineering

Master's or PhD preferred

Tools

Python

SQL

Cloud platforms (AWS/GCP)

Optimization software

Job description

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.

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 science, optimization, and AI, and bring proven external practices into the team
• Reduce Quality, Equipment, and Delivery Risk in Manufacturing Direct the development of tools that predict and mitigate disruption risk arising from variability in Technology, Quality, Equipment, and Process, helping sites protect product quality and on-time delivery to patients
• Lead efforts to optimize manufacturing processes, capacity, and scheduling, identifying and quantifying opportunities to improve efficiency, yield, and throughput
• Partner with manufacturing sites to understand their most critical challenges, and deploy analytics products that are adopted, trusted, and used in daily operations
• Define and track measurable value delivered, including risk reduction, efficiency gains, and avoided disruption, and communicate results to PDS leadership
• Partner with Executives and Stakeholders Across PDS Build and sustain trusted relationships with senior leaders in CTDO, GBU, GQ, and GTS, as well as site leadership, to understand priorities and align analytics investments to business value
• Collaborate with the End-to-End Value Chain Analytics team and other BI&T teams to integrate products across PDS pillars and avoid duplication
• Build consensus through the facilitation of productive discussions, ensuring all voices are heard and understood, and resolve prioritization trade-offs across sites and functions
• Represent PDS BI&T - Analytics Development in cross-functional and BI&T-wide forums, contributing to enterprise standards for analytics, data, and AI
• Demonstrate collaboration and proactiveness across the digital transformation team; embrace a "no task is too big or small" mindset

Requirements

• Bachelor's degree required in data science, statistics, engineering, operations research, computer science, or similar quantitative discipline; advanced degree (Master's or PhD) preferred
• 12+ years of experience in data science, advanced analytics, or operations research, including 5+ years directly managing data science or analytics teams and people leaders
• Experience leading globally distributed teams across multiple sites or time zones
• Demonstrated technical depth in applied machine learning, optimization, and statistical modeling, with the judgment to guide a team and evaluate approaches in a hands‑on way
• Experience applying analytics to manufacturing, supply chain, quality, or other operational problems, preferably in pharmaceutical, biotech, or other regulated industries
• Working knowledge of Applied AI and modern delivery practices, including generative AI and agentic coding tools, and a track record of turning models into adopted products
• Proven ability to build relationships and influence executive stakeholders across functions, translating business challenges into analytics solutions and demonstrating measurable value
• Experience building reusable analytics products and shifting teams from bespoke analysis toward product-based ways of working
• Enthusiasm and energy to help transform organizations, with tenacity and perseverance for leading change
• Excellent communication and presentation skills, with the ability to communicate complex ideas to stakeholders at all levels of the organization

Why you should apply

• You will help patients in their fight against serious diseases
• You will be part of a company that encourages excellence and innovation, respects diversity, develops leaders and values its employees.
• competitive salary
• annual bonus
• pension contribution
• family health insurance
• 27 days of annual leave
• access to BMS Cruiserath on-site gym
• life assurance

We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

How We Work

Where you work matters - because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.

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 [e-mail]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

• BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
• For roles based in Los Angeles County only: 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/
• For roles based in Washington State only: If you live in or expect to work from Washington State if hired for this position, please visit this page for important information about the Washington Fair Chance Act.

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 this posting is missing required information required by local law or incorrect, contact BMS at [e-mail] with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.

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We're creating innovative medicines for patients fighting serious diseases. We're also nurturing our own diverse team with inspiring work and challenging career options. No matter the role, each one of us makes a contribution. And that makes all the difference.