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Domain Expert; Data & AI Strategy

Job in Sheffield, South Yorkshire, S5, England, UK
Listing for: Methods
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    AI Business & Operations, Change Management, IT Consultant, Business Systems & Technology Analysis
  • Business
    AI Business & Operations, Change Management, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 80000 - 120000 GBP Yearly GBP 80000.00 120000.00 YEAR
Job Description & How to Apply Below

Domain Expert Role Overview

Location:

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.

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, regulatory confidence and 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. 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.

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, operational leaders and service owners.
  • Assess organisational maturity across data, AI, analytics, governance, technology, operating model, people, process, adoption and value realisation.
  • Identify, assess and prioritise Data & AI use cases across operational efficiency, service improvement, decision support, automation, fraud/error reduction, workforce productivity and 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 transformation programme approaches.
  • Support sales and bid teams by developing Data & AI strategy offers, proposal content, client presentations and account growth ideas.
  • Mentor consultants in strategic advisory skills, structured problem solving, executive communication, business case development and benefits-led consulting.
Essential Experience
  • 8+ years' experience in Data & AI strategy, digital transformation, technology advisory, business consulting, data-led change or large-scale transformation.
  • Evidence of measurable impact from previous programmes or projects.
  • Experience acting as a trusted advisor to senior stakeholders in consulting, public sector, regulated industries or large complex organisations.
  • Experience developing data strategies, AI strategies, transformation roadmaps, business cases or investment cases.
  • Strong understanding of Data & AI capabilities, including analytics, AI/ML, GenAI, data platforms, data governance, architecture and adoption considerations.
  • Experience prioritising use cases based on value, feasibility, risk, organisational readiness and strategic alignment.
  • Experience working with sales, account or bid teams to shape offers, proposals or client opportunities.
  • Experience contributing to communities of practice, professional development, knowledge-sharing or internal capability building.
  • Experience working in highly regulated environments where governance, security, compliance, operational risk and auditability matter.
  • Strong written and verbal communication skills, including the ability to turn ambiguity into clear options, recommendations and decisions.
Specialist Competencies
  • Data & AI strategy development.
  • Executive advisory and board-level…
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