Director, Digital Twin & Intelligent Manufacturing Capabilities
About The Position
The Director, Digital Twin & Intelligent Manufacturing Capabilities defines and advances enterprise strategy, technology direction, governance, standards, and capability roadmaps for Digital Twins, Process Twins, Process Intelligence, modeling, simulation, automation-enabled manufacturing, and AI-driven manufacturing across Global Technical Operations (GTO). The role leads GTO's enterprise Digital Twin and Process Intelligence capabilities and shapes how manufacturing science, process knowledge, automation, data, advanced analytics, artificial intelligence, and digital technologies are used to improve technology transfer, process understanding, manufacturing readiness, operational performance, and business outcomes across the product lifecycle. The Director partners with MPAS, Tech Transfer, BPD, Singapore manufacturing and digital organizations, Alexion, FMC, Regional Digital Leads, Manufacturing, IT, Enterprise Architecture, Data & AI, Automation, and Site Digital teams. The role establishes enterprise-scale capabilities and implementation frameworks for consistent deployment across the manufacturing network. Regional Digital Leads and site organizations remain accountable for site-level deployment and adoption; this position defines the enterprise capability strategy, technology direction, operating model, governance, standards, and reusable assets needed to scale capabilities across GTO. The position calls for deep expertise in Digital Twin and Intelligent Manufacturing capabilities, technology leadership, manufacturing and process-science credibility, automation awareness, systems thinking, vendor evaluation, AI and advanced analytics fluency, and the ability to lead large-scale cross-functional transformation in complex global organizations. The role is based on an average minimum of three office days per week, with individual flexibility.
Requirements
- Advanced degree (Master's or PhD) in Engineering, Manufacturing Systems, Chemical Engineering, Bioprocess Engineering, Data Science, Computer Science, Applied Mathematics, Operations Research, Life Sciences, or a related technical discipline.
- 12–20+ years of experience in pharmaceutical, biotechnology, manufacturing, engineering, automation, process development, digital transformation, or related industries.
- Demonstrated experience leading enterprise-scale Digital Twin, Process Twin, Process Intelligence, Simulation, Advanced Analytics, AI, Machine Learning, or Intelligent Manufacturing initiatives.
- Strong understanding of manufacturing systems, automation environments, industrial data flows, manufacturing data ecosystems, and Intelligent Manufacturing concepts.
- Experience evaluating technology platforms, software vendors, emerging technologies, and digital capabilities.
- Ability to develop capability roadmaps, guide technology investments, and establish enterprise governance and standards.
- Strong understanding of AI, machine learning, advanced analytics, and simulation technologies and their practical application in manufacturing and process environments.
- Demonstrated ability to lead complex cross-functional transformation initiatives in highly matrixed organizations.
- Proven ability to influence senior scientific, manufacturing, business, and technology stakeholders without direct authority.
- Excellent executive communication, stakeholder engagement, facilitation, and leadership skills.
Nice To Haves
- Experience in biologics manufacturing, process development, manufacturing sciences, technology transfer, or technical operations.
- Experience working across BPD, MPAS, Manufacturing, Tech Transfer, Automation, IT, Data & AI, and Enterprise Architecture organizations.
- Familiarity with Digital Twin and Process Intelligence platforms such as BaseTwo, M-Star, FlexSim, BioSolve, Solvace, AspenTech, AVEVA, or similar ecosystems.
- Experience establishing enterprise communities of practice, governance models, capability-development programs, or Centers of Excellence.
- Experience leading innovation partnerships, university collaborations, internship programs, or applied research initiatives.
Responsibilities
- Define and maintain the enterprise strategy and multi-year capability roadmap for Digital Twins, Process Twins, Process Intelligence, modeling, simulation, and Intelligent Manufacturing across GTO.
- Identify opportunities to improve technology transfer, process characterization, scale-up, manufacturing readiness, process robustness, operational performance, and business value.
- Develop capability maturity models, adoption frameworks, value-realization approaches, standards, investment priorities, and implementation approaches.
- Define how Digital Twins, manufacturing systems, automation environments, process data, simulation platforms, analytics, machine learning, and AI work together in GTO's Intelligent Manufacturing ecosystem.
- Lead evaluation and selection of relevant technologies, platforms, vendors, and strategic partnerships, and guide build-versus-buy decisions and investment recommendations.
- Assess emerging technologies and industry developments to guide future capability investments and roadmap decisions.
- Partner with Enterprise Architecture, IT, Data & AI, Automation, and Digital organizations on scalable architectures, integrations, data flows, information architectures, and operating models.
- Establish governance frameworks, standards, methodologies, and best practices for Digital Twin and Process Intelligence capabilities.
- Define and oversee model lifecycle management, including transition, deployment, maintenance, monitoring, documentation, and retirement.
- Establish ownership, stewardship, support, and decision-making models, and develop reusable methods, templates, and standards for consistent scaling.
- Ensure initiatives align with enterprise quality, regulatory, and operational expectations.
- Establish and lead the GTO Digital Twin & Process Intelligence Community of Practice and Center of Excellence; build a network of practitioners and subject matter experts.
- Develop reference architectures, implementation guidance, training materials, and best practices; promote innovation, knowledge sharing, and capability development.
- Sponsor and oversee initiatives involving interns, graduate students, university partnerships, and applied research aligned with strategic business priorities.
- Partner with business and manufacturing organizations to identify opportunities and align strategies with Digital Tech Transfer, Intelligent Manufacturing, and GTO transformation objectives.
- Lead complex cross-functional initiatives, influence strategic decisions, and drive alignment across business, scientific, manufacturing, digital, and technology organizations without direct authority.
- Build and manage relationships with technology vendors, industry organizations, academic partners, and innovation ecosystems.
- Lead technology assessments, proof-of-concept initiatives, capability evaluations, and vendor-selection activities.
Benefits
- Eligibility for short-term incentive bonuses.
- Equity-based awards for salaried roles.
- Qualified retirement programs.
- Paid time off, including vacation, holidays, and leaves.
- Health, dental, and vision coverage in accordance with applicable plan terms.
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What This Job Offers
Job Type
Full-time
Career Level
Director
