Methods Business and Digital Technology
Domain Expert - Responsible AI, Ethics & Assurance
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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.
Role Overview
Location & Employment
- 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
Role Title
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 organizations where AI may affect citizens, customers, employees, regulated processes, safety-critical decisions, operational risk, or public trust. It’s especially relevant to public sector, energy, defense 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 (your relevant domain)
- IT Operations & Service Excellence
- Enterprise Platform Adoption & Value Realisation
- Cyber Resilience
These experts will act as thought leaders and subject-matter authorities for their domains, shaping propositions, guiding client delivery, and strengthening Methods’ position in the market.
Key Responsibilities
- 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 ATRS submissions.
- Review AI-enabled products, vendor tools, automation solutions, decision-support systems, data science models, and GenAI applications.
- Collaborate 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.
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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, evaluation, deployment, monitoring, and retirement.
- Experience translating ethical, legal, regulatory, or assurance principles into practical delivery controls.
- Experience working with sales and bid teams to shape Responsible AI, assurance, governance, or risk propositions.
- Experience developing communities of practice, guidance, training materials, assurance templates, playbooks, or professional development materials.
- Strong communication skills, including the ability to explain AI risk and assurance clearly to both technical and non-technical stakeholders.
- Experience in highly regulated environments where trust, transparency, auditability, privacy, safety, and risk management are critical.
Specialist Competencies
- Responsible AI framework design.
- AI assurance and assurance case development.
- AI and algorithmic impact assessment.
- Ethical risk assessment and mitigation.
- AI governance operating models.
- Model/system evaluation and monitoring.
- Bias, fairness, and harm assessment.
- Transparency, documentation, and explainability.
- Human oversight and decision accountability.
- AI risk communication for senior stakeholders.
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Sector Experience (We Value)
- Public-sector AI, digital, data, analytics, or automation programmes.
- Energy, utilities, critical national infrastructure, or operational technology environments.
- Defence primes, aerospace, aviation, space, complex engineering, or safety-critical environments.
- Financial services model risk, insurance, healthcare, policing, justice, or other high-impact decision-making environments.
Desirable Experience
- Familiarity with:
- UK Government Data and AI Ethics Framework
- Algorithmic Transparency Recording Standard (ATRS)
- AI Playbook for the UK Government
- UK GDPR, Data Protection Act 2018, Equality Act 2010
- Sector-specific regulatory expectations.
- Experience with:
- ISO/IEC 42001, ISO/IEC 23894, NIST AI RMF
- Model risk management, safety case development or equivalent AI governance and risk frameworks.
- Evaluating GenAI, LLMs, Microsoft Copilot-style tools, automated decision-support systems, or AI-enabled SaaS products.
- Certifications such as:
- CIPP/E, CIPM, CRISC, ISO-related qualifications, or equivalent in privacy, security, risk, audit, or assurance.
- Experience working with procurement, legal, or commercial teams on responsible AI sourcing and vendor assurance.
Security Clearance Requirement
This role will require you to have or be willing to undergo Security Clearance. As part of the onboarding process, you’ll complete a Baseline Personnel Security Standard (BPSS) as outlined on the government website Gov.UK. Your employment may be delayed or rejected if you cannot meet these requirements.
Benefits & Perks
Be part of exciting project work making a difference in society with a supportive and collaborative environment backed by strong, inspiring leadership.
You can expect:
- Autonomy to develop and grow your skills and experience.
- Development access to LinkedIn Learning, a management development programme, and training.
- Wellness 24/7 Confidential employee assistance programme (EAP).
- Social highlights: Breakfast Tuesdays, Thirsty Thursdays, and monthly Pizza on the last Thursday.
- Strong commitment to charitable causes.
- Time off: 25 days annual leave.
- Pension Salary Exchange Scheme: 4% employer contribution + 5% employee contribution.
- Life Assurance of 4x base salary.
- Private Medical Insurance (non-contributory, including spouse and dependants).
- Worldwide Travel Insurance (non-contributory, covering spouse and dependants).
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