Divisional Artificial Intelligence; AI) Adoption Manager

Position: Divisional Artificial Intelligence (AI) Adoption Manager

• Business case & ROI modelling

Job Type
:
Exempt

Position
: 1

Duration of role
:
Permanent

Location
:
Columbia, MD (Hybrid)

Reporting to
:
Divisional Head of Digital, AI and Insights

Company
:
Tate

About Us

Tate Americas is a key business within Kingspan Data Solutions and is at the forefront of delivering integrated solutions to the rapidly expanding data center market. We combine engineering expertise, advanced manufacturing and operational excellence to deliver complex, mission-critical projects for some of the world’s largest technology companies.

With significant investment and ambitious growth plans, Tate is evolving beyond traditional manufacturing to become a fully integrated solutions provider, offering customers a seamless delivery model from design and manufacturing through installation, commissioning and final handover.

About

The Role

We are seeking an experienced AI Adoption Manager (Divisional) to play a critical role in shaping how AI drives efficiency and transformation across the business. This role will act as the bridge between business and technology, identifying and prioritizing high-impact opportunities and translating them into scalable AI solutions delivered in partnership with engineering teams and 3rd party vendors.

The ideal candidate will bring a blend of hands-on AI experience, digital transformation expertise, and strong business acumen, with the ability to move seamlessly from problem definition through to delivery and adoption. You will be comfortable moving rapidly from idea to pilot, and from pilot to scaled deployment, ensuring momentum is maintained and value is realized quickly.

A key focus of the role is ensuring every initiative delivers measurable value and ROI, embedding AI into core workflows in a way that is practical, scalable, and aligned with business objectives.

What You’ll Do AI Opportunity Identification & Pipeline Ownership

• Work with functional leaders to surface high-value ideas and convert them into structured use cases.
• Proactively identify opportunities to apply AI across business functions by analyzing workflows, inefficiencies, and manual effort.
• Build and maintain a prioritized pipeline of AI initiatives based on impact, feasibility, and ROI.
• Continuously generate new ideas by combining business insight with emerging AI capabilities

Business-Technology Translation

• Act as the primary interface between business stakeholders and engineering teams.
• Translate business problems into clear AI requirements, use cases, and solution briefs.
• Partner closely with AI engineers and 3rd party vendors who design and deploy the solutions.
• Ensure alignment between intended business outcomes and technical delivery.

Project Leadership & Delivery

• Lead the end-to-end lifecycle of AI projects:
  • Use-case definition
  • Business case & ROI modelling
  • Requirements gathering
  • Pilot design and rollout
  • Deployment coordination with engineering
• Own project governance
• Ensure delivery is focused on business value not just implementation.

Measurement, ROI & Value Realization

• Define success metrics upfront for every AI initiative (e.g. time saved, cost reduction, revenue uplift, accuracy improvements).
• Build robust frameworks to measure:
  • Adoption and usage
  • Productivity gains
  • Financial impact / ROI
• Track performance post-deployment and ensure benefits are realized and sustained.
• Establish consistent reporting to demonstrate value and inform prioritization.
• Continuously refine use cases based on performance data.

Adoption, Change & Business Enablement

• Drive adoption of AI solutions through structured rollout, training, and engagement.
• Identify change impacts and ensure solutions are embedded into daily workflows.
• Develop playbooks, usage guidance, and best-practice frameworks.
• Support teams to integrate AI into how…