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Corning

Specialty glass, ceramics, and tech components

Senior Manager - Solar Data & AI Strategy

Applied Machine LearningUpdated on Nov 14
Full-time

About the Job

Requirements

  • A bachelor's degree in Information Technology, Computer Science, Engineering, Data Science, Business, or a related field is required.
  • At least 10 years of progressive experience in data, analytics, digital, artificial intelligence, technology, or related transformation roles, including significant leadership responsibility.
  • Experience developing enterprise data strategies, data architectures, governance operating models, and data or artificial intelligence product roadmaps.
  • Hands-on experience shaping, prototyping, or delivering artificial intelligence solutions.
  • Working knowledge of generative artificial intelligence, machine learning, artificial intelligence agents, prompt engineering, retrieval-augmented generation, model evaluation, and artificial intelligence solution architecture.
  • Demonstrated ability to lead cross-functional programs, influence senior stakeholders, build business cases, prioritize investments, and realize measurable value.
  • Ability to communicate complex technical topics clearly to executive, operational, and technical audiences.

Responsibilities

  • Develop and execute the Solar enterprise data and artificial intelligence strategy, architecture, governance model, and multi-year roadmap.
  • Establish standards for data ownership, quality, metadata, lineage, security, access, master data, and lifecycle management.
  • Identify and prioritize high-value artificial intelligence opportunities across business functions, then lead discovery, prototyping, evaluation, and production delivery of solutions such as copilots, agents, predictive models, intelligent search, and decision-support tools.
  • Provide hands-on guidance in prompt engineering, agent design, workflow orchestration, retrieval-augmented generation, model evaluation, and solution architecture.
  • Own the Solar data and artificial intelligence portfolio from ideation through deployment, adoption, support, and value realization, defining success measures and monitoring product performance and risk.
  • Partner with enterprise data, architecture, security, privacy, and technology teams to align solutions with company standards and responsible artificial intelligence policies, while communicating progress, priorities, dependencies, and investment needs to leadership.
  • Build organizational capability by coaching data and artificial intelligence leaders and practitioners, managing strategic partners and vendors, and establishing a sustainable internal operating model.

Desired Qualifications

  • Experience in manufacturing, solar, semiconductor, or industrial operations.
  • Experience integrating data and artificial intelligence solutions with SAP, manufacturing execution systems, manufacturing, quality, engineering, or supply chain environments.
  • Experience with enterprise artificial intelligence platforms, copilots, agent frameworks, cloud data platforms, vector databases, application programming interfaces, and modern data engineering patterns.
  • Experience establishing responsible artificial intelligence governance, model monitoring, production support, change management, and capability-building programs.

About the Company

Corning

Specialty glass, ceramics, and tech components

Corning develops and manufactures specialty glass, ceramics, and related components for a range of industries. Its engineered glass and ceramic materials are produced and integrated into devices and systems such as smartphone screens, high‑performance displays, optical networks, automotive emissions controls, and life‑science equipment. The company differentiates itself with a broad portfolio across multiple markets, material science expertise, reliable supply, and end‑to‑end components and systems. Its goal is to help customers achieve performance and reliability by providing durable, high‑quality materials and connected solutions that scale with growing demand.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Corning, NY
Founded
1851

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