Senior Manager, Solar Data & AI Strategy

Role Purpose

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.

Key Responsibilities

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Work Location

• This is a hybrid role requiring in-office work three days per week.
• Will need to be in one of these 3 locations or be open to relocation: Phoenix, AZ, Hemlock, MI, or Corning, NY.

Success Profile

The successful candidate is a pragmatic builder who combines strategic perspective, technical credibility, product discipline, and strong business partnership. Success includes establishing trusted data foundations, delivering adopted and supportable AI products, improving responsible AI capability, and achieving measurable gains in productivity, quality, forecasting, asset performance, or customer responsiveness.