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# Senior Manager, Solar Data & AI Strategy

- **Company:** Corning
- **Location:** Glendale, AZ, United States
- **Experience:** Expert
- **Salary:** $138,838 - $190,902
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Application Programming Interfaces (APIs), Artificial Intelligence, Data Architecture, Information Engineering, Data Governance, Data Integration, Monitoring of Systems, Machine Learning, Metadata, Software Product Management, Cloud Services, Microsoft Copilot, SAP (Applications), Workflow Management Systems, Enterprise Data Management, Design of Telemetry/logging Agents, Retrieval-Augmented Generation, Prompt Engineering, Model Validation, Generative AI, Agentic-AI, AI Platforms, Information Technology, Data Management
- **Published:** October 22, 2026
- **Apply:** https://www.businessworkforce.com/job.asp?id=3472079035&tx=FJ3532FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Information Technology, Computer Science, Engineering, Data Science, Business, or a related field.
 * 10+ years of progressive experience in data, analytics, digital, AI, technology, or related transformation roles, including significant leadership responsibility.
 * Experience developing enterprise data strategies, data architectures, governance operating models, and data or AI product roadmaps.
 * Hands-on experience shaping, prototyping, or delivering AI solutions.
 * Working knowledge of generative AI, machine learning, AI agents, prompt engineering, retrieval-augmented generation, model evaluation, and AI 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., * Experience in manufacturing, solar, semiconductor, or industrial operations.
 * Experience integrating data and AI solutions with SAP, MES, manufacturing, quality, engineering, or supply chain environments.
 * Experience with enterprise AI platforms, copilots, agent frameworks, cloud data platforms, vector databases, APIs, and modern data engineering patterns.
 * Experience establishing responsible AI governance, model monitoring, production support, change management, and capability-building programs.

## Description

The Senior Manager, Solar Data & AI Strategy leads the Solar MAP data and artificial intelligence strategy. This role establishes trusted data foundations, advances responsible AI adoption, and delivers scalable data and AI products that create measurable business value. The leader partners across business, manufacturing, engineering, commercial, operations, and IT teams and works at both strategic and hands-on technical levels. The role has a dotted-line relationship to the Hemlock Semiconductor CIO for data and AI strategy and execution., * Develop and execute the Solar enterprise data and AI 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 AI 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 AI 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 AI policies, while communicating progress, priorities, dependencies, and investment needs to leadership.
 * Build organizational capability by coaching data and AI leaders and practitioners, managing strategic partners and vendors, and establishing a sustainable internal operating model.