Standardize enterprise modeling, simulation, and validation practices globally across Entegris, including reference architectures, validation frameworks, and reusable model libraries.
Create portfolio governance for modeling work by prioritizing initiatives based on business value, technical risk reduction, resource capacity, and impact on innovation cycle time, product performance, manufacturability, quality, and customer outcomes.
Partner with the CIDO organization to ensure digital modeling and infrastructure are compute-ready and able to scale across the enterprise, with standardized SOPs for derivative-model deployment that meet cybersecurity requirements.
Drive executive decisions on investments in compute infrastructure, data platforms, model validation practices, documentation controls, IP protection, and knowledge reuse.
Establish external technology engagements with universities, research consortia, and industry partners to advance Entegris' digital and AI capabilities. Promote a values-driven culture centered on People, Accountability, Creativity, and Excellence, with a strong commitment to compliance, collaboration, scientific rigor, and continuous improvement.
What We Seek
Advanced degree (Ph.D. preferred) in computational science, materials science, mechanical or chemical engineering, physics, applied mathematics, or a related technical field.
15+ years of progressive experience in modeling and simulation, computational engineering, or digital transformation in R&D-intensive industries, with at least 5 years in a senior leadership role managing multidisciplinary technical teams.
Semiconductor process and materials experience is strongly preferred.
Demonstrated track record of scaling simulation, AI, or digital tools from a single team to an enterprise level of approximately 500–1,000+ engineers and scientists, including structured change management, adoption programs, and cultural transformation in R&D-heavy organizations.
Practical understanding of digital twins, HPC/cloud computing, and virtual prototyping with proven ability to establish enterprise-wide modeling standards, reference architectures, and validation frameworks.
Deep technical expertise spanning at least two of the following: multiphysics simulation (CFD, FEM), molecular/atomistic modeling (DFT, MD), computational chemistry, and AI/ML, with hands-on familiarity with industry-standard tools such as ANSYS, COMSOL, GeoDict, LAMMPS, and modern AI/ML frameworks for materials and process simulation and design.
Strong understanding of model verification, validation, uncertainty quantification, documentation, simulation data management, model reuse, and lifecycle governance.
Proven partnership and stakeholder-management skills, with demonstrated ability to work shoulder-to-shoulder with senior AI/Digital and CIO/CIDO leadership on shared technology stack, cybersecurity, and deployment governance.
Strong executive communication skills, with the ability to present complex technical strategies to C-suite, ELT, and board-level audiences with clarity, credibility, and a focus on business outcomes.
