Director, AI and Digital Enablement

Entegris•Aurora, IL

1d•$185,000 - $250,000

About The Position

Entegris is seeking a Director, AI and Digital Enablement, to join its MS Business Operations team. The role is based at an MS site, with location flexibility. The Director will lead the division’s digital strategy, with a strong focus on artificial intelligence and machine learning, partnering with R&D, product development, IT, and business unit leaders to identify and operationalize opportunities that improve efficiency, decision quality, and growth. The role sets strategic direction for AI and digital transformation and establishes scalable processes for building, deploying, governing, resourcing, and monitoring AI and digital projects. The Director translates emerging technologies into practical solutions embedded in business operations and workflows, while building AI talent, increasing AI fluency, and supporting adoption and change management. The position calls for hands-on AI expertise, strategic and business judgment, and the ability to lead change and align initiatives with growth and value creation. The Director will champion responsible, trustworthy AI practices and develop scalable capabilities that create durable business value. The role collaborates across R&D, Engineering, Finance, IT, Manufacturing, Legal, and Supply Chain. Travel of 25–50% is required.

Requirements

At least 10 years of experience.
Demonstrated hands-on experience building and deploying AI and machine-learning solutions, such as ML models, generative AI, agents, copilots, and intelligent automation.
Fluency with modern AI tools and platforms.
Experience developing and executing a digital and AI strategy from vision through operational delivery.
Understanding of P&L, risk assessment, and decision-making, with experience building ROI models for technology and digital investments.
Track record of driving adoption of new tools, processes, and ways of working across teams.
Experience in advanced manufacturing or technology industries.
Proficiency in data analytics and a programming language such as Python or equivalent, as well as ML frameworks.
Experience with cloud and AI platforms.
Ability to lead complex initiatives or projects with cross-functional teams and work through ambiguity.
Ability to travel 25–50%.
B.S. in Computer Science, Data Science, Engineering, Statistics, Business Administration, or relevant industry experience.
Ability to set direction and priorities, listen effectively, energize others, communicate effectively, and influence across functions and regions.

Nice To Haves

Experience with MS businesses.
Advanced degree.
Proficient to advanced knowledge of Power BI and dashboard development or automation.
Proficient to advanced Excel and PowerPoint skills.
Experience with agent platforms and Google Cloud Platform, including Vertex AI Agent Builder.
Experience in semiconductor, advanced materials, manufacturing, or global supply chain environments.
Familiarity with Microsoft Azure AI/Copilot, SAP, and ServiceNow.
Relevant product management, AI/ML, or cloud certifications.
Experience with Agile and modern product operating models.

Responsibilities

Develop and own the division’s digital and AI/ML strategy, including the roadmap, priorities, and adoption standards.
Identify, evaluate, and prioritize high-impact AI, digital, and machine-learning use cases; develop business cases and ROI models to guide investment.
Lead the design, development, and deployment of AI/ML solutions, including predictive models, automation, agents, and copilots embedded in day-to-day operations.
Establish AI governance, standards, and responsible-AI practices covering data quality, security, model validation, and ethical use.
Partner with IT and data teams on the infrastructure, pipelines, and tools needed to make projects scalable, sustainable, and production-ready.
Build relationships with functional partners to align initiative prioritization, resources, adoption, and change management.
Drive change across the division by building, mentoring, and inspiring AI talent, raising AI fluency, and championing new ways of working.
Define sustainable KPIs to track AI adoption, model performance, efficiency gains, and delivered value.
Collaborate with R&D, Engineering, Finance, IT, Manufacturing, Legal, and Supply Chain to accomplish business objectives.
Develop division-level processes and practices for resourcing, monitoring, and ensuring the success of AI and digital projects.