Job Description

AI Governance Operations Analyst

Are you looking to be part of a global innovator in materials science, where your work can shape the future of connectivity, technology, and everyday experiences?

What is your role?
The AI Governance & Responsible AI Program Analyst supports the enterprise AI governance function and helps operationalize a scalable, guardrail-based governance model for AI use across the enterprise. This role partners closely with the AI Governance Lead and works across technical teams, legal, security, privacy, and business stakeholders. The position focuses on AI intake, use case classification, control validation, and maintaining centralized governance records and documentation.

Major responsibilities and tasks of the position:
- Coordinate and manage AI use case intake, classification, tracking, and review across business units, including governance dimensions such as domain, data sensitivity, autonomy level, audience, geography, platform, and regulatory exposure.

- Map incoming AI requests to standardized domain guardrails; identify required controls, existing controls, and control gaps; validate control implementation, ownership, oversight, supporting evidence, remediation actions, and approval conditions; and maintain governance workflows, decision records, and audit-ready documentation.

- Assist in the creation, review, and publication of model cards and related AI documentation for traditional ML and generative AI use cases, ensuring standards for transparency, explainability, risk, responsible AI attributes, versioning, metadata, and lifecycle status are maintained.

- Develop and maintain responsible AI templates, checklists, guidance, and “how-to” materials; help define and evolve domain-specific guardrail libraries; standardize governance artifacts; define end-user responsibilities within the control framework; and collaborate with cross-functional teams including Finance, HR, Legal, Engineering, Cyber, Privacy, and Platform.

What do you need to have?
- Bachelor’s degree in a related field such as technology, policy, information systems, data, or similar, or equivalent experience
- Strong organizational skills with the ability to manage multiple workstreams and stakeholders
- Ability to understand and summarize technical concepts without being a hands-on model developer
- Clear written communication skills and attention to detail
- Experience in AI, data, digital, privacy, security, or technology governance
- Familiarity with AI/ML concepts or responsible AI principles
- Experience with workflow tools, controls, or audit documentation

What we offer?
- Great benefits above law
- Growing environment that supports learning
- Opportunity to work with global stakeholders across business and technical teams
- Exposure to enterprise AI governance, responsible AI practices, and cross-functional collaboration

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodations related to disability or religion, please contact us at accommodations@corning.com