Methods Business and Digital Technology
Domain Expert - Responsible AI, Ethics & Assurance
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About Methods
Methods is a £100M+ IT Services Consultancy partnering with central government departments and agencies to transform public sector operations across the UK. Established over 30 years ago, we deliver end-to-end business and technical solutions that are people-centred, safe, and future-ready.
As part of the Alten Group (a global engineering firm with 57,000+ employees), we combine our transformation, delivery, and collaboration expertise—rooted in human touch, technology, and data—to create value and sustainability for clients, staff, communities, and the planet.
We foster a collaborative, problem-solving culture—balancing fun, hard work, and learning from mistakes. Our focus stretches beyond public sector into private-sector innovation.
Career Opportunity: Domain Expert — Responsible AI, Ethics & Assurance
Location & Working Arrangements
UK-based, hybrid working with regular travel to client sites, Methods offices, and practice events.
Salary & Benefits
£80,000–£120,000 base package, plus bonus eligibility.
Role Overview
Methods is appointing seven Domain Experts as core strategic leaders in:
- Client-Side Transformation Partner
- User-Centred Design & Delivery
- Cloud Transformation & Modernisation
- Data Intelligence & Applied AI (your focus)
- IT Operations & Service Excellence
- Enterprise Platform Adoption & Value Realisation
- Cyber Resilience
Your role: Lead Responsible AI, Ethics & Assurance engagements for public-sector, regulated-industry clients, ensuring safe, explainable, well-governed AI adoption.
Key Responsibilities
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Client Leadership Guide AI/ethics initiatives end-to-end, from requirement definition to deployment. Act as a thought leader in Responsible AI, shaping propositions and delivery strategies.
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Framework Design Create Responsible AI frameworks addressing:
- Fairness, accountability, transparency & explainability (FATE)
- Privacy, safety, security, robustness
- Human oversight & model monitoring
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Risk & Impact Assessments Conduct comprehensive AI/algorithmic impact reviews, evaluating:
- Legal compliance (data protection, equality, safety-critical risks)
- Potential harm (operational, reputational, public trust)
- Vendor/automation tool risks
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Governing AI Adoption Design AI governance structures, including:
- Decision rights, accountability models, approval gates
- Assurance cases, monitoring protocols, post-deployment reviews
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Vendor & Tool Review Assess AI-powered products, LLMs, GenAI applications, and tools like Microsoft Copilot for ethical/legal alignment.
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Stakeholder Collaboration Work with Data Scientists, Engineers, Legal teams, DPOs, Cyber Specialists, and commercial teams to align Responsible AI principles with delivery.
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Sales & Proprietary Support Partner with bid teams to shape Responsible AI propositions, leveraging proprietary knowledge for competitive advantage.
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Internal Capability Growth Build playbooks, training materials, and communities of practice to strengthen Methods’ internal Responsible AI expertise.
Essential Experience (8+ years)
✔ Core Responsible AI, ethics, or governance: Experience in:
- AI lifecycle management (data preparation, modeling, deployment, monitoring)
- Risk mitigation (e.g., reducing risk exposures, securing regulatory approvals)
- Technical-risk translation (e.g., explaining assessment findings to non-technical stakeholders)
✔ Advisory Track Record: History of trusted collaboration with senior executives in complex organisations (public/regulated sectors).
✔ Practical Implementation: Hands-on experience applying governance frameworks (e.g., converting theoretical principles into operational controls).
✔ Professional Advancement: Contribution to internal skills development (e.g., toolkits, training modules, communities of practice).
Competencies (Specialist Focus)
Required Mastery
🔹 Responsible AI Frameworks – Designing proactive governance models. 🔹 AI Assurance – Developing assurance cases, testing protocols, post-deployment reviews. 🔹 Algorithmic Impact Assessments – Evaluating bias, fairness, regulatory compliance. 🔹 Risk & Governance – Operating models, Bias/Harm Mitigation, human oversight. 🔹 Ethical Communication – Simplifying AI risks for C-level stakeholders. 🔹 Sector-Specific Adaptation (Public sector, energy, defence, aerospace, COVID-19 exemplars).
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Sector Experience Preferred
- Public AI programmes | Critical infrastructure | Defence/aerospace | Healthcare | Financial services | Safety-critical environments.
Desirable Enhancements
- Regulatory Familiarity: UK Government AI/Ethics Frameworks, Algorithmic Transparency Recording Standard, GDPR, Equality Act 2010.
- Certificate Covers: Privacy/Assurance Certifications (CIPP/E, CRISC, AI Governance Standards).
- ICT Training: Proficiency in evaluating new solutions (e.g., GenAI, LLMs, vendor tools).
- Procurement Insight: Experience with legal/commercial teams on AI sourcing assurance.
Additional Requirements
- Security Clearance: Baseline Personnel Security Standard (BPSS) mandatory as part of onboarding (through Gov.UK), with discussions upon hiring.
What We Offer
Impact & Culture
- Autonomy & Growth: Space to develop and innovate.
- Purposeful Work: Projects with Measurable societal impact.
- ** empleadoostive Leadership**: Inspiring, collaborative team culture.
Perks
📚 Learning & Development:
- Access to LinkedIn Learning, dedicated training budgets.
- Management development programmes.
💆♂️ Wellbeing Support:
- 24/7 Confidential employee assistance programme.
🍕 Social & Community Commitment:
- Regular all-staff events (e.g., Breakfast Tuesdays, Pizza Fridays).
- Charity partnerships.
✈️ Wellness Compensation:
- 25 Days paid leave, personal pension plans ( 8% total contribution), vital life assurance (4x salary), and non-contributory health/extra travel insurance.
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