Senior Manager - AI & Automation

ictive maintenance, computer vision, logistics, forecasting, sustainability, and quality.

• Lead end‑to‑end delivery of AI solutions-from idea and prototyping to production and business‑as‑usual service.

• Define value metrics and ensure every initiative delivers measurable ROI.

• Maximise enterprise platforms such as Microsoft Copilot, Multiply by CRH, SAP Joule, and Salesforce Einstein.

• Track emerging AI technologies and position Tarmac as an industry leader.

Build Enterprise AI & Automation Capability

• Develop and operate AI delivery frameworks: LLMOps, model evaluation, monitoring, RAG, and integration architecture.

• Create AI reference architectures, quality standards, and assurance processes including red‑teaming and model drift detection.

• Oversee secure OT/IT integration to unlock value from plant, quarry, and IoT data.

Strengthen Data, Governance & Responsible AI

• Own the AI readiness roadmap including data governance, MDM, security, and enterprise knowledge architecture.

• Lead AI FinOps: cost controls, usage telemetry, optimisation, and ROI analysis.

• Implement governance aligned to CRH standards, NIST, Cyber Essentials, SOx, ISO/IEC 42001 and data protection requirements.

• Ensure safe, transparent, explainable AI with robust controls for agentic systems.

Scale Capability & Adoption

• Build a blended delivery model of internal experts and specialist partners.

• Develop workforce plans for AI product managers, engineers, knowledge engineers, risk specialists, and UX roles.

• Lead change, adoption, training, and enablement-including role‑based training and AI champions.

• Manage RPA strategy and delivery, ensuring alignment with AI governance and value measurement.

Lead Collaboration & Partnerships

• Work closely with CRH Group and international partners to leverage global capability.

• Partner across IT, Cyber, Compliance, Data and business functions to deliver integrated, secure solutions.

• Build strong relationships with suppliers, innovation networks, and academia.

Experience & qualifications

To be successful in this role you'll need:

• A proven ability to deliver business value from AI or advanced analytics with measurable ROI.

• Experience leading AI solutions from concept to production and BAU.

• A developed understanding of AI platforms, LLMOps/GenAIOps, governance, cyber security, and regulatory requirements (NIST, Cyber Essentials, SOx).

• To be skilled in data governance, enterprise AI platforms, and scaling innovation into operational services.

• A demonstrated ability to lead blended teams and manage strategic partners.

• Excellent communication, stakeholder management, and change leadership abilities.

• Track record of staying current with emerging technologies.

Desirable

• Experience with RPA (UiPath), industrial/processing environments, OT data, predictive maintenance, or computer vision.

• A familiarity with large multi‑site organisations.

• A knowledge of RAG, agentic AI, enterprise AI tools, and ISO/IEC 42001.

Qualifications

• A degree in Computer Science, Data Science, Engineering, Business or equivalent experience.

• Relevant certifications (AI/ML, data, project management, cyber security) are beneficial.

We offer an extensive range of career development opportunities and industry-leading rewards, incentives and benefits:

• Bonus scheme
• Enhanced holiday entitlement
• Contributory pension scheme
• Access to the Tarmac Reward website with discounts on retailers, holidays, etc.
• Access to our Employee Assistance helpline for free and confidential advice
• Working Parents Training and development opportunities