Divisional Artificial Intelligence (AI) Adoption Manager

Job Description

Job Description

Job Type : Exempt

Position : 1

Duration of role : Permanent

Reporting to : Divisional Head of Digital, AI and Insights

Location : Remote (United States)

About Us

Kingspan Data Solutions originated in the traditional commercial office sector for raised access flooring and more recently, are supporting the accelerated growth in the data center industry. As one of the leading raised access flooring manufacturer, supplier and installers across US, Europe, Middle East and Australia, we have been involved in the delivery of a wide range of flooring solutions for some of the most prestigious buildings worldwide.

Our Tate brand of data center products has enabled us to support the leading technology and communication brands who rely on our team who are smart working, agile and offer solutions like none other. We continue to develop innovative products for use in commercial buildings and data centers, supported by our leading engineering, technical and specification team. Our commitment to sustainability is a key focus area for our business and one we continue to evolve as we grow and expand in line with our Planet Passionate Strategy. It’s an exciting time to join our business that is expanding at pace.

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 they work — not as a bolt-on.

Experimentation & Continuous Improvement

• Maintain a pipeline of pilots and rapid experiments with new AI tools and approaches.
• Work with engineers and 3rd party vendors to test, validate, and scale solutions quickly.
• Stay up to date on emerging AI technologies and assess practical business applications.
• Ensure a balance between experimentation and measurable outcomes.

Solution Standardization & Global Rollout

• Ensure solutions are documented, repeatable, and ready for deployment across regions.
• Develop onboarding packs and training materials for scaling.
• Maintain consistency while enabling regional adaptation.

Governance, AI Policy & IS Alignment

• Ensure all AI initiatives are aligned to Group and Divisional AI governance, data policies, and IS standards from the outset.
• Identify when IS engagement and approvals are required and plan accordingly.
• Define data sensitivity, risk level, and compliance requirements at use-case stage.
• Own coordination of IS engagement from a business and delivery perspective.

AI Steering Group

• Own the end-to-end process for AI Steering Group submissions , including pilots and go-live approvals.
• Define and coordinate all required inputs for decision-making, including:
• Business case and ROI projections
• Success metrics and measurement approach
• Use-case definition and scope
• Risk, governance, and compliance considerations
• Consolidate inputs from engineering, IS, and business stakeholders into a clear, decision-ready pack .
• Present AI initiatives to the Steering Group, clearly articulating:
• Expected value and impact
• Risks and mitigations
• Readiness for pilot or scale
• Own tracking of decisions, actions, and follow-ups from the Steering Group.
• Ensure all initiatives meet approval after pilot and go-live .

Travel : This role requires up to 30-40% travel to our sites.

Additional Expectation

• Remain compliant with the Code of Conduct and Policies which includes the Kingspan Group Compliance Policy.
• Ensure that all duties related to product compliance are adhered to in accordance with the Product Compliance Policy, Laws, Regulations, and market demands.
• Responsible for all tasks to achieve compliance goals and demands of the Compliance Management System.
• Must raise concerns related to the Compliance Management System to their supervisor, manager, or any member of the Leadership Team, or through the confidential whistle blower service.

What You’ll Bring

• Bachelor’s degree in Business, Information Technology, Computer Science, Engineering, or a related field.
• 5+ years of experience in AI adoption, digital transformation, process improvement, automation, or technology implementation.
• Proven ability to identify business opportunities and translate them into technology-driven solutions.
• Experience leading cross-functional projects from concept through deployment and adoption.
• Strong understanding of AI, Generative AI, automation, analytics, and emerging digital technologies.
• Demonstrated success building business cases, defining KPIs, and measuring ROI.
• Experience collaborating with business leaders, technical teams, and third-party vendors.
• Strong project management, stakeholder management, and change management skills.
• Excellent communication, presentation, and executive-facing skills.
• Knowledge of data governance, information security, compliance, and responsible AI practices.
• Willingness to travel up to 30–40% as required.

Preferred Qualifications

• Certifications in AI, Project Management, Agile, Change Management, or Digital Transformation.
• Experience in manufacturing, industrial products, engineering, construction, pharmaceuticals or data center environments.
• Experience working in a global organization and managing external technology partners.

What You'll Get

• Pay range: $140,000 USD to $160,000 USD. This role is eligible for a discretionary bonus .
• Career Scope and Advancement: As we grow, new positions and career opportunities arise, offering accelerated paths for the right candidates, locally and globally.
• World of Wellness Philosophy: We empower you to take charge of your health and well-being. You’ll have access to a wide range of medical, dental, and vision benefits, along with personalized guidance from a “Health Advocate.” We also offer other supplemental options, including 401k, legal, disability, and theft insurance, to ensure your financial wellness.
• Corporate Social Responsibility: Through Planet Passionate we are determined to reduce our manufacturing carbon (CO2e) emissions to as close to zero as technically possible, together with halving carbon intensity in our primary supply chain. We are very involved in our community, and you will have ample opportunities to support us, in creating a better world.
• Skills Development: Given the dynamic pace of our business and a strong collaborative environment, your new role will be diverse and multifaceted – allowing you to be more versatile and develop a broader skill set.
• Mentorship and development: At Tate, we don’t believe in hierarchy, we work together as one team for one common goal. You will have access and exposure to our senior leaders and experts for learning in your role, and additionally mentorship for the future.
• Culture: We have a great team culture, highly collaborative, supportive and social. Together we innovate, collaborate, take ownership and strive for excellence.

Stay connected with us on LinkedIn for insights into life at Tate. Join us in our mission to make a difference through exceptional solutions.

Tate Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics. We are committed to providing reasonable accommodations to qualified individuals with disabilities. Employment is contingent upon the successful completion of post-offer requirements, including a background check and drug screening, in accordance with company policy and applicable laws.