Domain Expert AI, Ethics & Assurance

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 57000 employees specializing in engineering and IT services.

Domain Expert Role Overview

Location:UK-based hybrid working

Regular travel may berequiredto client sites Methodsofficesand practice/community events.

Domain Expert Responsible AI Ethics & Assurance

Role summary

The Responsible AI Ethics & Assurance Specialist helps clients adopt AI and data-driven technologies safely lawfullyethicallyand transparently.

This role is critical for organisations where AI may affect citizens customers employees regulated processes safety-critical decisions operationalriskor public trust. It is especially relevant to public sector energy defence primesaerospaceand 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 AIethicsand assurance engagements for public-sector and regulated-industry clients.

• Design Responsible AI frameworks covering fairness accountability transparency explainability contestability privacy safety security robustness humanoversightand monitoring.

• Conduct AI and algorithmic impact assessments including ethical risk equality considerations privacy data protection model/system risk operationalriskand potential harm.

• Define AI assurance approaches including assurance cases evidence requirements model/system evaluation testing validation monitoringescalationand post-deployment review.

• Advise clients on AI governance structures including AI boards risk triage decision rights accountability models approvalgatesand lifecycle controls.

• Support documentation and transparency activities including model cards system cards assurance packs riskassessmentsand Algorithmic Transparency Recording Standard submissions where relevant.

• Review AI-enabled products vendor tools automation solutions decision-support systems data sciencemodelsand 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 AIgovernanceand ethical technology propositions.

• Build internal Responsible AI capability through playbooks templates communities of practice trainingmentoringand delivery assurance support.

Essential experience

• 8 years experience in Responsible AI AI assurance data ethics AI governance model risk technology risk information governance privacy digitalassuranceor related advisory work.

• Evidence of measurable impact such as enabling safe AI deployment reducing risk exposure improving transparency securing governance approval strengthening regulatoryconfidenceor preventing harmful implementation.

• Experience acting as a trusted advisor to senior stakeholders on complex technology data AI ethicsriskor governance issues.

• Experience in consulting public sector regulatedindustriesor large complex organisations.

• Strong understanding of the AI lifecycle including use-caseselection data preparation model/system development evaluation deploymentmonitoringand retirement.

• Experience translating ethical legal regulatory or assurance principles into practical delivery controls.

• Experience working with sales and bid teams to shape responsible AI assurancegovernanceor risk propositions.

• Experience developing communities of practice guidance training…