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IT Business Analyst; AI Programme

Job in Edinburgh, City of Edinburgh Area, EH1, Scotland, UK
Listing for: Smart Recruitment
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    IT Business Analyst, Data Analyst, AI Engineer
Job Description & How to Apply Below
Position: IT Business Analyst (AI Programme)

About the job IT Business Analyst (AI Programme)

Our client is committed to making use of cutting‑edge technology to deliver the best possible services. We are looking for a talented individual to join us as our IT Business Analyst, working as part of our dynamic AI Programme team. This role blends business analysis, product & project support, user enablement and governance operations to drive safe, value‑driven technology adoption across Legal, OGL and Business Services.

This role focuses on enablement, analysis, and adoption; it is not a technical IT role and is not responsible for building custom AI machine learning models.

Analysis, Adoption, Change & Enablement
  • Conduct analysis to assess feasibility, impact and risks of AI and technology opportunities
  • Facilitate use‑case discovery workshops and map processes to AI and technology scenarios (e.g., drafting, summarisation, search, data extraction, analysis)
  • Drive AI and technology adoption across Legal, OGL, and Business Services by understanding role‑specific workflows and identifying AI and technology‑enablement opportunities
  • Provide hands‑on support for pilots and early‑life adoption, transitioning to sustainable, self‑serve use
  • Build trusted relationships with the business to foster understanding and adoption
  • Support structured change activities
  • Participate in user groups such as the Legal AI Working Group to share progress, capture feedback, and act as a conduit to service lines
  • Participate in ongoing technology reviews to capture outcomes and lessons learned
  • Design reusable AI prompts, patterns and templates and curate scenario playbooks for fee earners and business teams
  • Proactively identify opportunities to retire/retrain/update AI prompts, workflows and guidance
  • Define and track technology adoption, usage and value metrics (e.g. active users, depth of use, time saved, quality indicators)
  • Maintain dashboards and reporting on technology adoption, value, and risk posture
  • Produce concise documentation: user guides, FAQs, playbooks, quick‑start assets, and short enablement videos where needed.
Technical
  • Provide specialist support for enterprise technology and AI platforms including Microsoft 365 Copilot, approved legal‑AI tools, and internal AI applications
  • Analyse user scenarios and optimise prompts/workflows; create guidance that reflects our preferred ways of working
  • Collaborate with other technology teams on secure configurations, access, and responsible use guardrails; escal…
  • Ensure initiatives follow defined governance, testing and review processes
  • Support risk assessments and log mitigations.
Experience
  • Proven experience in business analysis / product adoption / digital workplace or AI‑enabled change in a professional services and/or legal environment
  • Hands‑on delivery of AI or automation initiatives from discovery through rollout, with measurable value outcomes
  • Demonstrable contributions to governance, risk, and quality processes (e.g. testing, validation, approvals, audit)
  • Evidential enthusiasm for continuous learning and proactively embracing new technologies, including AI, to enhance personal and team effectiveness
  • Change management exposure
Skills
  • Strong business analysis toolkit: requirements elicitation, process mapping, user stories, acceptance criteria
  • Excellent communication skills-able to translate technical concepts into clear business language and practical guidance
  • Competence with prompt design and evaluation for business scenarios
  • Structured problem‑solving, stakeholder management, and facilitation skills
  • Data‑literate: comfortable with metrics, dashboards, and value tracking
  • Basic data fundamentals (e.g., data quality, security, lifecycle) and understanding of AI risks (bias, hallucinations, provenance)
Qualifications (Desirable, not mandatory)
  • Microsoft certifications (e.g., MS-900, SC-900, PL-900) or AI‑900 (Azure AI Fundamentals)
  • Business analysis or project credentials (e.g., BCS BA, PMI‑PBA, PRINCE2 Foundation, Agile)
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