Global Automation Engineering & Technology Head

Main Responsibilities And Accountabilities

• Define and execute the global Operational Technology (OT) strategy and roadmap for manufacturing and QC systems, ensuring alignment with I&T and business strategies.
• Prioritize OT initiatives that enhance productivity, regulatory compliance, and manufacturing reliability.
• Communicate OT strategy, value realization, and roadmap progress to executive and site leadership.

Enterprise OT Platform Lifecycle Ownership

• Provide lifecycle ownership for Enterprise GxP manufacturing and lab OT platforms including OSI Pi, LIMS, Enterprise MES, Edge, Configuration management, and other enterprise tools.
• Provider governance and decisioning on Automation Systems (DCS/SCADA), MES, etc.
• Ensure platforms meet operational, compliance, and performance standards across global sites.
• Drive harmonization and modernization of Enterprise OT platforms and support the roadmap for site integrations.

OT Governance, Compliance, and Architecture Leadership

• Lead enterprise OT governance structures (Design Authority, Standards Council, etc.).
• Define global OT standards for configuration, recipes, data, and cybersecurity in alignment with I&T, C&Q/CSV, GAMP 5 and GxP requirements.
• Maintain validated, secure, and interoperable architectures between plant-level systems and enterprise data layers.
• Ensure OT environments adhere to 21 CFR Part 11, Annex 11, and digital validation best practices.

OT Technology Deployment and Capital Project Oversight

• Accountable for Tier 1 capital project delivery for manufacturing and QC digital platforms.
• Govern Tier 2/3 site projects to ensure adherence to global OT standards, validation, and cybersecurity requirements.
• Manage readiness, commissioning, and hypercare for OT systems introduced via T1 capital or digital programs.

Organization / Center of Excellence Leadership and Team Development

• Lead the global OT organization encompassing Lab Systems, Data Systems, Recipe Standards, and Innovation & Partner Enablement.
• Operate as the OT Center of Excellence (CoE), defining best practices, playbooks, and training for site automation and lab teams.
• Build global OT capabilities, talent pipelines, and competency frameworks.
• Manage OT budgets (opex/capex) and resource allocation to maximize enterprise value.
• Place a high priority on developing others through coaching, feedback, and developmental goals.
• Provide a positive and equitable working environment, emphasizing values such as Customer Focus, Innovation, Integrity, Collaboration, and Superior Performance.

Strategic OT Supplier and Platform Partnerships

• Develop and manage strategic partnerships with automation, MES, historian, and lab system platform provider (e.g., Siemens, Jag, Starlims, Aveeva (OSI) Pi).
• Develop and manage strategic partnerships with integrator partners (Mescada, CapG, Avacone, Cognizant, etc.).
• Align supplier roadmaps to OT strategy and ensure service excellence, cost optimization, and innovation delivery.
• Establish joint governance with system integrators (SIs) and solution providers for lifecycle performance.
• Leverage partner ecosystems to advance automation, edge computing, and digital manufacturing maturity.

Cross-Functional Collaboration and Operational Influence

• Collaborate closely with I&T, Operations, Technical Operations, Quality, Validation, and Data Analytics while retaining ownership of the OT domain.
• Ensure seamless data and integration flows between OT systems, enterprise layers, and cloud solutions under validated control.
• Influence global and site leaders to adopt standardized OT processes, architectures, and governance.
• Represent OT in enterprise risk, cybersecurity, and digital transformation forums.

Innovation and Emerging OT Technologies

• Identify and pilot emerging OT and industrial digital technologies (AI/ML at the edge, digital twins, composable MES, Cloud, etc.).
• Translate pilots into validated, scalable solutions that enhance reliability, compliance, and improve business outcomes.
• Embed advanced analytics and process optimization into OT platforms.
• Foster a culture of innovation and continuous improvement across the OT ecosystem.