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Domain Expert; Data & AI Strategy

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: Methods Business and Digital Technology
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    AI Business & Operations, Change Management
Salary/Wage Range or Industry Benchmark: 80000 - 120000 GBP Yearly GBP 80000.00 120000.00 YEAR
Job Description & How to Apply Below
Position: Domain Expert (Data & AI Strategy)

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 berequiredto client sites, Methodsofficesand practice/community events.

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

As a Domain Expert for Data & AI Strategy
in the Data & AI Consulting Practice , you will help Methods’ clients use data,analytics and AI to improve business outcomes, public services, operational performance, regulatoryconfidenceand organisational capability.

You will act as a trusted advisor to senior stakeholders, shape and deliver high-impact consulting engagements, support business development, create repeatable Methods offers and help build a strong internal community of practice.

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.

Requirements

The Data & AI Strategy helps clients define where Data & AI can create measurable organisational, operational, service and customer/citizen value.

This role is for a senior consultant who can work with executives and senior leaders to shape Data & AI strategies, prioritise use cases, define transformation roadmaps, build investmentcasesand help clients move from ambition to delivery.

The role is particularly suited to candidates who haveoperatedin complex environments such as government, energy, defence primes, aerospace, utilities, financial servicesor other large organisations where change must be justified,governed and delivered safely.

Key responsibilities

  • Lead Data & AI strategy engagements for public-sector and regulated-industry clients.
  • Facilitate senior stakeholder workshops with executives, boards, SROs, CDOs, CIOs, CTOs, transformation directors, operationalleadersand service owners.
  • Assess organisational maturity across data, AI, analytics, governance, technology, operating model, people, process,adoption and value realisation.
  • Identify,assessand prioritise Data & AI use cases across operational efficiency, service improvement, decision support, automation, fraud/error reduction, workforceproductivityand customer/citizen experience.
  • Develop business cases, investment narratives, benefits maps, value cases, KPIs, OKRs and transformation roadmaps.
  • Advise on technology strategy at decision level, including build/buy/partner options, platform direction, interoperability, supplier risk, lock-in, scalability and AI readiness.
  • Help clients avoid disconnected pilots by defining realistic routes from experimentation to scaled delivery.
  • Shape discovery, alpha, proof-of-concept,mobilisation and…
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