Domain Expert - Responsible AI, Ethics & Assurance

About the role

Domain Expert - Responsible AI, Ethics & Assurance T00:00:00.000Z London Capabilities full About Methods: Methods is a £100M+ IT Services Consultancy who has partnered with a range of central government departments and agencies to transform the way the public sector operates in the UK. Established over 30 years ago and UK-based, we apply our skills in transformation, delivery, and collaboration from across the Methods Group, to create end-to-end business and technical solutions that are people-centred, safe, and designed for the future. Our human touch sets us apart from other consultancies, system integrators and software houses - with people, technology, and data at the heart of who we are, we believe in creating value and sustainability through everything we do for our clients, staff, communities, and the planet. We support our clients in the success of their projects while working collaboratively to share skill sets and solve problems. At Methods we have fun while working hard; we are not afraid of making mistakes and learning from them. Predominantly focused on the public-sector, Methods is now building a significant private sector client portfolio. Methods was acquired by the Alten Group in early 2022. Alten is a global engineering firm with approximately 57,000 employees specializing in engineering and IT services. Domain Expert Role Overview Location: UK-based, hybrid working Regular travel may be required to client sites, Methods offices and practice/community events. Salary: £80,000-£120,000 base salary, plus bonus Domain Expert - Responsible AI, Ethics & Assurance Role summary The Responsible AI, Ethics & Assurance Specialist helps clients adopt AI and data-driven technologies safely, lawfully, ethically and transparently. This role is critical for organisations where AI may affect citizens, customers, employees, regulated processes, safety-critical decisions, operational risk or public trust. It is especially relevant to public sector, energy, defence primes, aerospace and other sectors where AI adoption must be explainable, assured, governed and defensible. Methods is appointing seven Domain Experts, each matched to a core strategic offering. Client-Side Transformation Partner User-Centred Design & Delivery Cloud Transformation & Modernisation Data Intelligence & Applied AI IT Operations & Service Excellence Enterprise Platform Adoption & Value Realisation Cyber Resilience These experts will be the thought leaders and subject-matter authorities for their domains, shaping propositions, guiding client delivery, and strengthening Methods' position in the market. Lead Responsible AI, ethics and assurance engagements for public-sector and regulated-industry clients. Design Responsible AI frameworks covering fairness, accountability, transparency, explainability, contestability, privacy, safety, security, robustness, human oversight and monitoring. Conduct AI and algorithmic impact assessments, including ethical risk, equality considerations, privacy, data protection, model/system risk, operational risk and potential harm. Define AI assurance approaches, including assurance cases, evidence requirements, model/system evaluation, testing, validation, monitoring, escalation and post-deployment review. Advise clients on AI governance structures, including AI boards, risk triage, decision rights, accountability models, approval gates and lifecycle controls. Support documentation and transparency activities, including model cards, system cards, assurance packs, risk assessments and Algorithmic Transparency Recording Standard submissions where relevant. Review AI-enabled products, vendor tools, automation solutions, decision-support systems, data science models and GenAI applications. Work with Data Scientists, Engineers, Architects, Cyber specialists, DPOs, SIROs, legal teams, commercial teams, service owners, operational risk leads and safety/security stakeholders. Support sales and bid teams by shaping Responsible AI, AI assurance, AI governance and ethical technology propositions. Build internal Responsible AI capability through playbooks, templates, communities of practice, training, mentoring and delivery assurance support. Essential experience 8+ years' experience in Responsible AI, AI assurance, data ethics, AI governance, model risk, technology risk, information governance, privacy, digital assurance or related advisory work. Evidence of measurable impact, such as enabling safe AI deployment, reducing risk exposure, improving transparency, securing governance approval, strengthening regulatory confidence or preventing harmful implementation. Experience acting as a trusted advisor to senior stakeholders on complex technology, data, AI, ethics, risk or governance issues. Experience in consulting, public sector, regulated industries or large complex organisations. Strong understanding of the AI lifecycle, including use-case selection, data preparation, model/system development, evaluatio

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