Director, AI & Process Solutions

Job Title

Director, AI & Process Solutions

Job Description

Here at Entegris, we use advanced science to enable technologies that transform the world, and we are seeking employees who have the drive to continue that mission.

The Role

We are seeking a highly capable Director, AI & Process Solutions, to join our Digital Innovation team in the Technology and Innovation organization of Materials Solutions (MS) business. This director-level role supports all MS business units and functional groups by leading the development and deployment of AI, digital engineering solutions, and intelligent process systems that accelerate scientific discovery, product development, scale-up, and data-driven decision making.

This role will transform how scientists and engineers discover, analyze, and act on knowledge across MS R&D. You will define the roadmap for AI-enabled scientific and engineering workflows, including scientific copilots, intelligent assistants, autonomous designs, knowledge management, semantic search, knowledge graphs, SBU-specific scientific language models, digital twins, analytical digital enablement, and process scale-up procedures.

You will work in close partnership with business leaders, scientists, engineers, product development, process development, manufacturing, quality, and external partners to identify high-value opportunities, scale AI and digital process systems, support technology transfer and scale-up, and enable data-driven decision making from research through process development and manufacturing. The ideal candidate brings strong technical depth, strategic leadership, and the ability to bridge AI, process systems, scientific workflows, and business value realization.

What You’ll Do

Define the AI, machine learning, generative AI, agentic workflow, and process systems strategy across Materials Division R&D, including knowledge management, semantic search, knowledge graph, and SBU-specific scientific language models.
Build and maintain the roadmap for AI-enabled scientific and engineering solutions across all MS business units and functional groups.
Lead the deployment of scientific copilots, intelligent assistants, autonomous workflows, and AI-enabled decision-support solutions that improve how scientists and engineers discover, analyze, and act on knowledge.
Define and advance capabilities in process simulation, digital twins, analytical measurement, process characterization, and scientific workflow digitization to improve scientific understanding and accelerate product and process development.
Identify, prioritize, and scale high-value AI and digital process opportunities across molecular discovery, materials design, formulation development, analytical sciences, product development, process development, quality, scale-up, process control, manufacturing readiness, and product performance.
Partner with product, process, manufacturing, quality, and engineering teams to build reusable process knowledge, scientific knowledge assets, and AI-enabled decision frameworks that strengthen organizational learning.
Support the transition of mature AI models, process models, digital twins, analytical capabilities, and scientific workflows from research into product development, process development, scale-up, and manufacturing environments.
Apply AI and advanced analytics to improve process understanding, process characterization, scale-up risk assessment, root-cause analysis, process optimization, yield, process robustness, and manufacturability.
Establish and maintain AI governance, risk management, model lifecycle management, validation standards, cybersecurity alignment, and responsible AI practices across MS.
Drive adoption of AI and digital process systems through stakeholder engagement, training, communication, change management, and communities of practice.
Build, develop, and lead a high-performing team of AI/ML scientists, data scientists, digital specialists, and process systems experts while fostering a culture of innovation, collaboration, and continuous learning.

What We Seek

M.S. or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Chemistry, Materials Science, Chemical Engineering, or related technical discipline.
10+ years of progressive experience in AI/ML, advanced analytics, computational science, process modeling, digital engineering, scientific computing, or digital innovation in R&D-intensive or manufacturing environments.
Demonstrated experience leading multidisciplinary technical teams and delivering scalable AI, analytics, modeling, or digital process solutions across multiple business or functional groups.
Strong understanding of machine learning, generative AI, large language models, scientific language models, agentic workflows, retrieval-augmented generation, knowledge graphs, semantic search, and modern AI architectures.
Working knowledge of process modeling, simulation, digital twins, analytical measurement, process characterization, scientific workflows, data integration, and model lifecycle practices.
Experience translating business and scientific challenges into practical AI-enabled and data-driven solutions with measurable outcomes.
Experience applying AI, advanced analytics, or modeling solutions to product development, process development, technology transfer, scale-up, manufacturing support, quality, or industrial R&D environments.
Strong understanding of AI governance, responsible AI practices, model validation, cybersecurity considerations, documentation, and risk management.
Strong executive communication, stakeholder management, and influencing skills with the ability to communicate complex technical strategies to scientific, engineering, functional, and business leadership audiences.
Experience in semiconductor materials, specialty chemicals, advanced materials, formulations, analytical sciences, advanced manufacturing, or related industrial R&D environments is a plus.
Publications, pat