Manager - Enterprise AI Solutions

Hilmar Cheese Company Inc.•Hilmar, CA
•$134,149 - $201,223

About The Position

The Manager – Enterprise AI Solutions leads Hilmar Cheese Company’s enterprise AI portfolio, delivery, and adoption. The role partners across business and IT functions to turn opportunities into secure, governed, scalable, and supportable AI solutions across Microsoft and SAP platforms. The Manager establishes priorities, develops team capability, coordinates delivery partners, and communicates value, risk, investment needs, and decisions to leadership. The role also helps shape enterprise architecture, data, cloud, security, and application strategies and roadmaps. It promotes reusable solutions and sound operating practices, and ensures completed AI solutions transition effectively into operations with appropriate documentation, monitoring, support processes, and ownership. The work is primarily performed in an office environment and is mostly sedentary. Each employee shares responsibility for safety and food safety in the manufacturing and distribution of safe, wholesome, high-quality products.

Requirements

  • Bachelor’s degree in computer science, information systems, engineering, or a related field plus 7 years of related experience, including 3 years leading teams or major technology programs; equivalent combinations of education and experience may be considered.
  • Experience leading enterprise technology, AI, data, cloud, architecture, digital product, or application delivery.
  • Demonstrated people leadership, executive communication, portfolio prioritization, vendor management, and organizational change leadership.
  • Working knowledge of Microsoft and SAP AI ecosystems, enterprise integration, data platforms, cybersecurity, and cloud architecture.
  • Ability to communicate effectively with non-technical staff and interdisciplinary teams.
  • Strong troubleshooting, analytical, and critical-thinking skills, including the ability to translate complex technical concepts for others.
  • Ability to manage multiple priorities and understand complex business processes, controls, and operational requirements.
  • Knowledge of security, data privacy, responsible AI, documentation, testing, and production support practices.

Nice To Haves

  • Master’s degree in computer science, information systems, engineering, business, or a related field.
  • Experience establishing an enterprise AI operating model, responsible-AI governance, or an AI center of enablement.
  • Experience in process manufacturing, food manufacturing, SAP-centered enterprises, or regulated environments.
  • Relevant Microsoft, SAP, cloud, architecture, product management, or program management certifications.
  • Experience managing managed-service providers, consulting partners, contracts, and technology budgets.
  • Experience with Agile or product-oriented delivery practices.

Responsibilities

  • Lead enterprise AI portfolio intake, prioritization, roadmap development, adoption planning, and lifecycle governance.
  • Partner with business, IT, data, security, privacy, risk, and legal stakeholders to evaluate use cases and frame value, risk, cost, and decision options.
  • Provide direction for Microsoft Copilot, Azure AI, SAP Joule, SAP AI Core, and related enterprise data and integration capabilities.
  • Establish and maintain AI architecture, responsible-AI, security, data-governance, model-risk, and operational guardrails with appropriate control owners.
  • Coordinate architects, engineers, managed services, vendors, and project-funded specialists to deliver scalable and supportable solutions.
  • Define delivery outcomes and report portfolio value, adoption, delivery health, risks, dependencies, and required decisions.
  • Develop team members through accountability, coaching, mentoring, succession planning, and capability development.
  • Promote reusable patterns, reference architectures, product operating practices, technical standards, and continuous improvement.
  • Ensure completed solutions transition effectively into operations with documentation, monitoring, support processes, and ownership.
  • Provide input to enterprise architecture, data, cloud, security, and application strategies and roadmaps.
  • Fulfill company-wide responsibilities for safety and food safety in the manufacture and distribution of safe, wholesome, high-quality products.
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