Senior Director, Computational Engineering & AI Innovation

We are a global leader in advanced materials and process solutions that enable the world's most innovative technologies. Serving customers across the semiconductor, life sciences, and high-tech industries, we are committed to helping solve complex challenges through science, engineering, and innovation.

The Opportunity

We are seeking a visionary leader to establish and lead a global Digital Engineering & Computational Innovation organization that accelerates product development, strengthens technology differentiation, and enables data-driven decision making across R&D and engineering functions.

This role will define and execute the strategy for advanced modeling, simulation, digital twins, computational chemistry, and AI/ML-driven innovation. Working closely with R&D, engineering, operations, and digital technology leaders, you will build enterprise capabilities that improve innovation speed, product performance, manufacturing readiness, and customer outcomes.

Key Responsibilities

• Develop and lead the enterprise strategy, roadmap, and operating model for digital engineering and computational innovation.
• Build and scale high-performing global teams specializing in multiphysics simulation, computational modeling, AI/ML, computational chemistry, and digital science.
• Establish best practices, standards, and governance frameworks for modeling, simulation, validation, and digital workflows across the organization.
• Drive adoption of digital twins, virtual prototyping, and advanced analytics to support product development and technology innovation.
• Prioritize and manage a portfolio of digital and modeling initiatives based on business impact, technical risk, and strategic value.
• Partner with technology and digital organizations to ensure scalable, secure, and enterprise-ready computing infrastructure, platforms, and deployment frameworks.
• Influence investment decisions related to HPC, cloud computing, simulation technologies, AI platforms, and data ecosystems.
• Foster strategic collaborations with universities, research institutions, and industry partners to advance innovation capabilities.
• Champion a culture of scientific excellence, collaboration, accountability, and continuous improvement.

Qualifications

• PhD preferred in Computational Science, Materials Science, Chemical Engineering, Mechanical Engineering, Physics, Applied Mathematics, or a related discipline.
• 14+ years of experience in computational engineering, modeling and simulation, digital transformation, or advanced R&D environments.
• Proven success leading large multidisciplinary technical teams and scaling digital capabilities across complex global organizations.
• Deep expertise in at least two of the following areas:
  • Multiphysics Simulation (CFD, FEM)
  • Molecular or Atomistic Modeling
  • Computational Chemistry
  • Artificial Intelligence & Machine Learning
• Experience with industry-leading tools such as ANSYS, COMSOL, GeoDict, LAMMPS, and modern AI/ML platforms.
• Strong understanding of model validation, simulation data management, lifecycle governance, and knowledge management.
• Semiconductor, advanced materials, or other technology-intensive industry experience is highly preferred.
• Exceptional stakeholder management and executive communication skills with the ability to influence senior leadership and drive enterprise-wide transformation.

Wilson Tay
Direct Line: [6697 7866](tel:6697 7866)
EA License No: 91C2918
Personnel Registration Number: R2091205