AI Transformation & Portfolio Director
CorningAbout the role
Requisition Number: 76940
The company built on breakthroughs.
Join us.
Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.
How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward.
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.
Come break through with us.
Corning’s businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with:
- Trusted products that accelerate drug discovery, development, and delivery to save lives
- Damage-resistant cover glass to enhance the devices that keep us connected
- Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
- Precision glass for advanced displays to deliver richer experiences
- Auto glass and ceramics to drive cleaner, safer, and smarter transportation
- Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions
Role Purpose
AI is rapidly becoming a new layer of capability that augments how scientists, engineers, and developers work — through AI assistants, domain copilots, co-scientists, software agents, and increasingly autonomous learning loops. We are hiring a Director of AI Transformation & Portfolio to lead that shift across our Technology Community: deliberately, coherently, and at scale.
This is a rare opportunity to lead an enterprise-wide AI transformation inside a global R&D organization with the scientific depth, industrial reach, and real-world problems that make AI meaningful. You will shape strategy, portfolio, foundations, partnerships, and talent — working with senior technology leaders, category leads across the Technology Community, IT Digital, and external partners across the AI ecosystem.
What you will do
- Lead Corning's Technology Community AI/Data transformation portfolio spanning materials discovery, product and process development, manufacturing intelligence, software productivity, knowledge access, decision support, data foundations, and workforce AI fluency.
- Advance the horizontal capabilities that all AI depends on — data, software, and compute — including HPC, cloud, GPUs, model serving, and infrastructure for foundation models, digital twins, and agentic AI.
- Shape Corning's Scientific AI strategy, including specialized scientific and domain models, hybrid physics/AI systems, AI co-scientists, and autonomous scientific workflows.
- Federate a matrixed leadership team of AI category leaders and drive reusable, extensible AI solutions across the organization.
- Grow AI talent capacity — data engineers, ML/DL specialists, GenAI engineers, and hybrid domain-AI practitioners — in partnership with HR and technology leadership.
- Partner closely with IT Digital on AI platforms, model access, architecture, security, and enterprise guardrails.
- Manage strategic partnerships with hyperscalers, AI platform companies, startups, academia, and open-source communities.
- Provide senior leadership with a clear, credible view of Corning's AI direction, choices, and impact.
What you bring
- Deep technical credibility in modern AI — generative AI, large language models, agentic systems, applied ML, and AI-enabled software engineering — combined with the judgment to make sound build / buy / partner decisions.
- Proven experience leading complex, cross-functional technology portfolios in a matrixed R&D, engineering, or advanced technology environment.
- Working understanding of scientific computing, AI i
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