LRQA is a global leader in assurance, risk management, and advisory services, helping organisations build trust, ensure compliance, and improve sustainability across complex global supply chains. With a strong heritage in certification and inspection, LRQA is rapidly transforming into a data and digital‑first organisation, investing in platforms and technology that drive real‑time insights, predictive risk management, and AI‑enabled decision‑making.
EiQ is entering a major growth phase as it evolves into a scalable, AI‑enabled data platform powering global supply chain intelligence. With a target of 50%+ year‑on‑year growth, EiQ is becoming a core strategic asset within LRQA’s digital portfolio.
The Role
The Chief Technology Officer (CTO) will define and execute the end‑to‑end technology strategy for EiQ, ensuring the platform scales to support rapid commercial growth and the transition into an AI‑driven product ecosystem.
This is a hands‑on executive leadership role, combining strategic vision with direct technical ownership of architecture, engineering, data, and platform reliability.
The CTO will lead a 30‑person engineering organisation and manage a £2M++ technology budget, operating in close partnership with the EiQ CEO, COO, and LRQA CDIO.
Key Responsibilities
* Define and own the technology vision and target architecture for the EiQ platform
* Lead the evolution of EiQ into a scalable, multi‑tenant SaaS and AI‑enabled data platform
* Drive end‑to‑end engineering delivery, platform performance, and operational reliability
* Build and scale AI and data capabilities, including production AI use cases and data governance
* Establish engineering excellence across delivery practices, automation, CI/CD, and quality standards
* Ensure security, compliance, and resilience‑by‑design across all systems
* Lead, coach, and scale a high‑performing engineering organisation
* Partner closely with product and business leadership to align technology with commercial strategy
* Manage and optimise technology investment aligned to growth priorities
Required Experience
* Previous experience as CTO, VP Engineering, or Head of Engineering
* Strong background in SaaS or platform‑based product environments
* Proven experience leading architecture, engineering, and cloud‑native systems
* Demonstrated ability to scale engineering teams and delivery capability
* Hands‑on technical leadership style (player‑coach mindset)
Preferred Experience
* Experience delivering AI/ML or data‑driven products in production
* Background in multi‑tenant SaaS platform design and scaling
* Experience in high‑growth or transformation environments
* Exposure to regulated or security‑sensitive industries
Success Measures
* Platform scalability, reliability, and performance at global scale
* Engineering velocity and delivery predictability
* Successful adoption of AI capabilities within EiQ products
* Strong data governance, quality, and observability
* Growth and retention of a high‑performing engineering organisation
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