EHS / Quality Transformation Lead (AI Products)

EHS / Quality Transformation Lead (AI Products) Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 miles Paying up to £120,000 bonus package Permanent Experis are partnering with a highly successful and growing software organisation undergoing a major AI-led transformation, where intelligent systems are being embedded across a global product portfolio.

Interested in this role You can find all the relevant information in the description below.

We are supporting the search for an EHS / Quality Transformation Lead (AI Products), a unique and highly strategic hire responsible for defining how AI systems interpret, reason, and make decisions in regulated environments.

This is a rare opportunity to shape how AI behaves in the real world by translating domain expertise into structured standards, classifications, and decision frameworks that underpin AI model development.

What You'll Be Doing Defining what 'correct' looks like across regulated domains such as EHS, Quality, and Compliance Creating taxonomies, classification frameworks, and annotation standards used to train AI models Designing evaluation frameworks to ensure models are accurate, consistent, and trustworthy in real-world use Leading and mentoring a team of Domain Subject Matter Experts (SMEs) across multiple disciplines Acting as the domain authority, resolving ambiguity and ensuring consistency in decision-making Partnering closely with product and AI engineering teams to translate domain knowledge into model behaviour Shaping the regulatory corpus and knowledge base, determining what data is included and prioritised Supporting the development of AI-enabled products that operate in highly regulated environments Experience Required Proven experience in regulated industries (e.g.

EHS, Quality, Compliance, Risk, Audit) Strong understanding of frameworks such as ISO standards, RIDDOR, GxP, or similar Demonstrated experience defining or owning standards, policies, or frameworks Experience making real-world regulatory or operational decisions (not purely advisory) Strong leadership experience, ideally managing or influencing cross-functional or domain expert teams Ability to operate across multiple domains or business units, xwzovoh not just a narrow specialism Excellent communication and written skills, with the ability to translate complex concepts into structured guidance Curiosity and openness toward AI and emerging technologies Why Join Opportunity to define how AI systems make decisions in real-world, regulated environments Join a business investing heavily in AI as a core product capability Shape a new function and team from the ground up High visibility role working closely with senior leadership across product and AI If you're interested in learning more, please reach out to Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.