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About the Role

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. Methods is appointing seven Domain Experts, each matched to a core strategic offering, to act as thought leaders and subject-matter authorities, shaping propositions, guiding client delivery, and strengthening Methods’ market position.

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 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.

Requirements

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 organizations.
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 material, assurance templates, playbooks, or professional development material.
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.
Must have or be willing to undergo Security Clearance.
Must complete a Baseline Personnel Security Standard as part of onboarding.

Skills

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
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
UK Government Data and AI Ethics Framework
Algorithmic Transparency Recording Standard
AI Playbook for the UK Government
UK GDPR
Data Protection Act 2018
Equality Act 2010
ISO/IEC 42001
ISO/IEC 23894
NIST AI RMF
Model risk management
Safety case development
GenAI evaluation
LLM evaluation
Microsoft Copilot-style tools evaluation
Automated decision-support systems evaluation
AI-enabled SaaS products evaluation
CIPP/E
CIPM
CRISC
ISO-related qualifications
Responsible AI sourcing
Vendor assurance

Location

UK-based
Hybrid working

Work Type

Hybrid working

Experience Level

8+ years’ experience

Salary/Compensations

£80,000–£120,000 base salary, plus bonus

Benefits

Autonomy to develop and grow skills and experience
Part of exciting project work making a difference in society
Strong, inspiring and thought-provoking leadership
Supportive and collaborative environment
Development access to LinkedIn Learning
Management development programme
Training
24/7 Confidential employee assistance programme
Breakfast Tuesdays
Thirsty Thursdays
Pizza on the last Thursday of each month
Commitment to charitable causes
25 days a year time off
Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution
Life Assurance of 4 times base salary
Private Medical Insurance (non-contributory, spouse and dependants included)
Worldwide Travel Insurance (non-contributory, spouse and dependants included)

About the Company

Methods is a £100M+ IT Services Consultancy partnered with central government departments and agencies to transform the UK public sector.
Established over 30 years ago and UK-based, Methods applies skills in transformation, delivery, and collaboration to create end-to-end business and technical solutions that are people-centred, safe, and designed for the future.
Methods' human touch sets it apart, with people, technology, and data at its core, focusing on creating value and sustainability for clients, staff, communities, and the planet.
Methods supports clients in project success while collaborating to share skill sets and solve problems.
Methods has fun while working hard, embracing mistakes and learning from them.
Predominantly focused on the public sector, Methods is 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.