AI Transformation & Portfolio Director

CorningCity of Corning, NY
$194,764 - $267,801Onsite

About The Position

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.

Requirements

  • 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 infrastructure, and the trade-offs between cloud, on-prem, and specialized compute.
  • Ability to translate AI capabilities into measurable innovation and business impact in a scientific and industrial context.
  • Strong executive communication and stakeholder skills — able to earn trust with senior scientists, engineers, software leaders, IT architects, and business executives.
  • A leadership style that combines strategic clarity, technical depth, and the ability to move a large organization forward through influence rather than direct authority.
  • Minimum Bachelor's degree in computer science, engineering, applied mathematics, physics, materials science, data science, or a related technical field.
  • 10+ years of leadership experience across AI, data, software, or advanced R&D environments, including 5+ years in senior technical or portfolio leadership roles.
  • Familiarity with scientific and engineering workflows, industrial R&D operations, or advanced manufacturing environments.

Nice To Haves

  • Advanced degree highly preferred
  • Experience shaping and delivering enterprise AI strategy at scale, including partnerships with hyperscalers and AI platform providers.

Responsibilities

  • 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.

Benefits

  • Company-wide bonuses and long-term incentives
  • 100% company-paid pension benefit with fixed contributions
  • Matching contributions to your 401(k) savings plan
  • Medical, dental, vision
  • Paid parental leave
  • Family building support
  • Fitness
  • Company-paid life insurance
  • Disability
  • Disease management programs
  • Paid time off
  • Employee Assistance Program (EAP)
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