AI Manager - Adoption & Enablement - ONSITE SLC - Local Candidates only

Our mission at WesTech is to help communities thrive by delivering high-quality water solutions with superior service - safely and sustainably. To achieve this mission, we recruit great people to be part of our collegial and collaborative teams in engineering, design, project management, field service, plant operations, professional services and more.

As one of the leading operating brands of Swire Water, our values of integrity, humility, endeavor, excellence and continuity make this an outstanding working environment. Our continuing success creates attractive opportunities for purpose-driven professionals to develop new skills, support vital industries, and grow their careers.

Summary WesTech is seeking an AI Manager - Adoption & Enablement. This ONSITE role is responsible for accelerating the practical adoption of Artificial Intelligence across WesTech by helping the business identify, develop, scale, and govern high-value AI use cases.

This ONSITE role serves as the operational leader of the company’s AI program, working with AI Champions, Business Analysts, Digital teams, business leaders, and external partners to turn ideas into measurable business outcomes. The role is not primarily a developer. Its purpose is to build organizational capability, remove barriers, coordinate execution, and ensure AI initiatives align with business priorities, governance requirements, and WesTech’s long-term AI vision.

Candidates for this position may be required to pass pre-employment and periodic screenings, including background checks, drug and alcohol tests, or other necessary assessments.

Some Of The Work You Will Do AI Strategy Execution

• Execute the enterprise AI roadmap and translate strategic objectives into practical initiatives.
• Identify opportunities where AI can improve productivity, quality, decision-making, customer experience, or business processes.
• Help business leaders prioritize AI investments based on value, feasibility, risk, and organizational readiness.
• Track adoption, benefits realization, and overall program progress.

AI Champions Program Leadership

• Lead and support the company’s AI Champions network.
• Coach champions on identifying, documenting, and advancing use cases.
• Facilitate collaboration between champions to avoid duplication and promote reuse of successful solutions.
• Organize workshops, working sessions, demonstrations, and knowledge-sharing activities.
• Help champions move ideas from experimentation into repeatable business processes.

Use Case Development and Pipeline Management

• Establish and maintain a visible pipeline of AI use cases across the company.
• Work with analysts and business stakeholders to define problems, expected outcomes, business value, data needs, and implementation requirements.
• Distinguish between opportunities appropriate for individual productivity, departmental solutions, and enterprise-scale implementation.
• Monitor progress, remove execution barriers, and connect use cases with the resources required to move forward.
• Promote successful use cases for reuse and broader organizational adoption.

Business Partnership and Change Leadership

• Partner with leaders and teams across Sales, Products, Solutions, Supply Chain, Engineering, Manufacturing, and Corporate Services.
• Serve as a practical advisor on how AI can support business priorities and improve work.
• Facilitate discovery sessions and workshops to identify and shape AI opportunities.
• Support change management, communication, training, and user adoption.
• Capture and share success stories, lessons learned, and reusable approaches.

Vendor and Partner Management

• Research relevant AI technologies, platforms, vendors, and industry developments.
• Identify consulting, technology, implementation, and solution partners that can accelerate WesTech’s AI vision.
• Evaluate partner capabilities, fit, cost, risk, and ability to deliver sustainable business value.
• Coordinate proofs of concept, pilot efforts, and partner-supported implementations.
• Provide recommendations on when to build internally, use existing platforms, or engage external partners.

Governance and Responsible AI

• Support the implementation and ongoing improvement of AI governance, policies, standards, and lifecycle controls.
• Ensure initiatives align with security, privacy, compliance, data governance, architecture, and records-management re…