AI Solutions Manager

Department: IT

Employment Type: Permanent

Location: Guernsey

Description

Key Responsibilities

Skills, Knowledge and Expertise

• Work proactively across Ogier teams to understand current processes, pain points and improvement opportunities.
• Run discovery sessions, interviews and workshops with stakeholders
• Identify processes that are manual, repetitive, inconsistent, high-friction or suitable for improvement.
• Translate business challenges into clear opportunity statements, including the problem, users affected, expected benefit, risks and dependencies.
•  Prioritise opportunities based on measurable business value, not simply whether AI could be used.

• Identify where AI, automation or existing approved technology can improve how work is done.
• Map business processes to practical AI scenarios such as drafting, summarisation, search, analysis, extraction, workflow support and quality review.
• Design repeatable workflow patterns that help teams use AI safely and consistently.
• Work with IT, AI specialists, Knowledge Management, Risk, Compliance and business stakeholders to shape usable solutions.
•  Ensure proposed improvements fit naturally into day-to-day working practices.

•   Create and refine reusable prompts, prompt templates, workflow guides, AI playbooks and adoption materials
• Apply structured prompt and context engineering techniques, including task decomposition, context supply and clear output specifications.
• Test prompt approaches with users and improve them based on clarity, reliability, usefulness and business value.
• Develop guidance on when human review, source checking, quality control or escalation is required.
• Help standardise, update or retire prompts and workflow patterns based on feedback, risk and measured value.

• Act as a trusted adviser to business teams on practical AI-enabled process improvement.
• Help stakeholders understand what AI can and cannot do.
• Provide hands-on support during pilots, early adoption and transition to sustainable use.
• Build user confidence through practical examples, safe usage guidance and clear success measures. 
• Produce concise enablement materials such as quick-start guides, FAQs, process notes, playbooks and adoption assets.

• Ensure AI-enabled process improvement activity follows agreed governance, testing and review processes.
• Consider confidentiality, data protection, quality, security and responsible AI requirements when shaping solutions.
•  Support risk assessments and document mitigations where required
• Escalate issues where risks, uncertainty or ownership questions require further review.
• Reinforce that AI outputs are assistive and subject to appropriate human review where judgement, client service, regulatory or operational outcomes may be affected.

•  Define and track adoption, usage and value metrics for each improvement initiative.
• Capture measures such as active users, depth of use, time saved, quality improvements, stakeholder feedback and risk posture.
• Maintain clear reporting inputs for the process improvement pipeline.
• Capture lessons learned from pilots and implemented workflows.
• Recommend whether solutions should be refined, scaled, redesigned or decommissioned based on evidence.
  
  

Benefits

• Business analysis, business process improvement, business relationship management, product adoption, digital transformation or AI-enabled change.
• Working with business stakeholders to understand requirements, map processes and shape practical improvements.
• Supporting AI, automation, Microsoft 365, digital workplace tools or other technology-enabled business improvements.
• Producing process maps, opportunity statements, user stories, acceptance criteria, business cases, workflow documentation, prompt guidance, playbooks or adoption materials.
• Working in an environment where governance, testing, validation, risk assessment, compliance or quality review are important.
• Supporting change with business users, including adoption planning, guidance, feedback gathering and continuous improvement.

• Strong business analysis skills, including requirements gathering, process mapping and stakeholder validation.
• A process improvement mindset, with the ability to simplify workflows and identify practical interventions.
• Practical understanding of prompt engineering, prompt evaluation and reusable prompt pattern design.
• Ability to identify where AI, automation, agentic workflow concepts or existing technology can improve business outcomes.
• Excellent communication and facilitation skills, with the ability to explain AI and technology concepts in clear business language.
• Strong stakeholder management skills, including the ability to build trust, influence constructively and manage competing priorities.
• Data literacy, including the ability to define and interpret adoption, usage, value and risk measures.
•  Good understanding of responsible AI risks, including confidentiality, hallucination, bias, provenance, data quality, security and human review.

• Experience in legal, professional services, corporate services, financial services or another regulated environment.
• Business analysis qualification such as BCS Business Analysis, PMI-PBA or equivalent.
• Process improvement qualification such as Lean Six Sigma or equivalent.
• Microsoft certifications such as AI-900, MS-900, PL-900 or SC-900.
• Project, Agile, change management, adoption or training-related qualifications.
• Demonstrable hands-on experience using AI tools in a work setting, such as Microsoft 365 Copilot, ChatGPT or Claude, with practical examples of where they have improved a task, process or output.