Senior Manager, AI and Decision Science for Product & Formulation Development

About the Role As Senior Manager, AI and Decision Science for Product & Formulation Development, you will own the end-to-end digital and AI transformation strategy for the Product Development Q.LIFE Platform, expanding value to Lubrizol Additives (LZA) and into Lubrizol Engineered Materials (LEM) and Lubrizol Surface Sciences (LSS). You will provide executive accountability for sustaining and evolving production ML models, ensuring reliability, governance, and business continuity, while partnering with IT and scientific teams to align AI initiatives with product development needs. What You'll Do

• Own and lead end-to-end digital and AI transformation strategy for Product Development Q.LIFE Platform, expanding to LZA and extending footprint to LEM and LSS.
• Provide executive accountability for sustaining and evolving production ML models, ensuring reliability, governance, and business continuity in LZA.
• Lead digital transformation in product and formulation development in partnership with IT, ensuring alignment with scientific, engineering, and product development needs.
• Establish standards, tooling, and best practices for model development, deployment, monitoring, retraining, and lifecycle management within the enterprise AI ecosystem.
• Strengthen team capabilities in modern AI platform practices, including MLOps, automation, observability, and continuous improvement.
• Partner with the Computational Modeling pillar to integrate fundamentals-based modeling, bioinformatics, and cheminformatics capabilities, enabling next-generation Q.LIFE Platform models.
• Develop a technology roadmap for Product Development Q.LIFE Platform; build and manage strategic partnerships with internal IT, external vendors/consultants, and universities to accelerate innovation.
• Act as a senior thought partner to leadership, helping the organization make informed, value-driven decisions about AI investments and priorities.
• Lead culture change and team transformation with a focus on curiosity, initiative, innovation, and continuous improvement; establish project management best practices and accountability.
• Drive talent and resource development, aligning with HR on compensation, career development, and succession planning; support hiring strategies and provide direct people leadership.
• Lead Statistics, Data Science, and Enterprise AI Enablement; champion statistical thinking, enterprise AI capability building, training, and role-based learning paths; stay current with AI landscape and translate into practical use cases.
• Collaborate with HR, IT, Operations, and business leaders to define AI skills roadmaps and ensure cross-functional alignment. What We're Looking For
• Advanced degree (Ph.D., M.S.) in Engineering, Chemistry, Materials Science, Data Science, Computer Science, Statistics, or related fields.
• 12+ years of experience in chemical, materials, formulation, or closely related industries with strong understanding of product development and AI/ML workflows.
• Proven ability to lead major transformations, improve team performance, and promote accountability and results.
• Skilled at building strong digital teams and communities, encouraging experimentation, customer focus, and ongoing improvement.
• Experience building and leading cross-functional partnerships with IT, business units, external vendors, and academic institutions.
• Strong foundation in statistics, engineering, or scientific modeling.