Senior Manager, Manufacturing AI & Analytics

• Lead multiple cross-functional squads to translate business and user needs into clear use cases, requirements, delivery plans and measures of success.

• Align capacity, sequencing and dependencies; maintain visibility of progress, risks and blockers; and enable timely resolution or escalation.

• Guide practical solution and integration decisions, supported by clear accountability, consistent governance and effective delivery practices.

Operational Adoption

• Embed solutions into manufacturing workflows, decisions and ways of working by involving leaders and users throughout delivery.

• Coordinate the process, role and capability changes required for adoption, and address barriers to sustained use.

Global Scaling and Reuse

• Enable proven solutions to scale across relevant sites, processes and value streams while balancing global standards with legitimate local needs.

• Promote reuse, capture implementation learning and apply it to future deployments.

Value Realization

• Connect delivery and adoption to agreed operational and financial outcomes in partnership with Value Stream Owners and the Manufacturing Excellence PMO.

• Track adoption and value indicators, communicate outcomes to senior stakeholders, and surface gaps between technical completion and realised value.

Let’s talk about Qualifications and Experience

• Bachelor’s degree in Engineering, Manufacturing, Supply Chain Management, Computer Science, Data Science, Information Systems, Business or a related field; advanced degree preferred.

• Demonstrated experience leading complex, cross-functional delivery of analytics, automation or AI-enabled solutions in manufacturing or supply chain environments.

• Experience coordinating multiple delivery teams or squads across business, process, data and technology disciplines.

• Strong understanding of manufacturing processes, value streams and operational improvement opportunities.

• Sufficient technical depth to assess solution feasibility, data readiness, systems integration, scalability and delivery risk, and to work effectively with technical specialists.

• Experience with manufacturing data and technology environments such as ERP, MES, equipment or IoT data, historians or similar operational technology platforms.

• Strong delivery leadership, facilitation and stakeholder management skills, including driving adoption and influencing senior stakeholders.

• Experience scaling digital, analytics, automation or AI solutions across sites, processes or value streams; Industry 4.0 or large-scale manufacturing transformation experience preferred.

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Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.