{"id":944187,"url":"https://alion.io/job/ogier-ai-solutions-manager","title":"AI Solutions Manager","company":{"id":678421,"name":"Ogier","domain":"ogier.com","url":"https://alion.io/company/ogier","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Pinpoint","truth_index":{"grade":"A","score":100,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Context Engineering","optional":false},{"name":"Hallucination","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Agile","optional":true},{"name":"ChatGPT","optional":true},{"name":"Claude","optional":true},{"name":"Copilot","optional":true}],"status":"live","first_seen_at":"2026-09-14T19:48:30Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-08T08:23:52Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"description":"Ogier is looking for an AI Solutions Manager to identify, shape and deliver practical business process improvements across prioritised areas of the business.\nThis is a business-facing role for someone who can work directly with stakeholders, understand current ways of working, identify where improvement is needed, and translate opportunities into safe, useful and measurable AI-enabled solutions.\n\nThe role will make practical use of structured prompt engineering, reusable prompt patterns, AI-enabled workflows, agentic workflow concepts, automation and approved technology platforms. The successful candidate will combine experience in applied AI, business analysis, process improvement and stakeholder engagement. They will not be expected to build machine learning models, but they will need to understand how AI can be applied responsibly to improve business outcomes.\nKey Responsibilities\nIdentify business process improvement opportunities\nWork proactively across Ogier teams to understand current processes, pain points and improvement opportunities.\nRun discovery sessions, interviews and workshops with stakeholders\nIdentify processes that are manual, repetitive, inconsistent, high-friction or suitable for improvement.\nTranslate business challenges into clear opportunity statements, including the problem, users affected, expected benefit, risks and dependencies.\n Prioritise opportunities based on measurable business value, not simply whether AI could be used.\nShape practical AI-enabled solutions\n\nIdentify where AI, automation or existing approved technology can improve how work is done.\nMap business processes to practical AI scenarios such as drafting, summarisation, search, analysis, extraction, workflow support and quality review.\nDesign repeatable workflow patterns that help teams use AI safely and consistently.\nWork with IT, AI specialists, Knowledge Management, Risk, Compliance and business stakeholders to shape usable solutions.\n Ensure proposed improvements fit naturally into day-to-day working practices.\nDevelop reusable prompts and workflow guidance\n\n Create and refine reusable prompts, prompt templates, workflow guides, AI playbooks and adoption materials\nApply structured prompt and context engineering techniques, including task decomposition, context supply and clear output specifications.\nTest prompt approaches with users and improve them based on clarity, reliability, usefulness and business value.\nDevelop guidance on when human review, source checking, quality control or escalation is required.\nHelp standardise, update or retire prompts and workflow patterns based on feedback, risk and measured value.\nSupport adoption and change\n\nAct as a trusted adviser to business teams on practical AI-enabled process improvement.\nHelp stakeholders understand what AI can and cannot do.\nProvide hands-on support during pilots, early adoption and transition to sustainable use.\nBuild user confidence through practical examples, safe usage guidance and clear success measures. \nProduce concise enablement materials such as quick-start guides, FAQs, process notes, playbooks and adoption assets.\nSupport governance, risk and responsible AI\n\nEnsure AI-enabled process improvement activity follows agreed governance, testing and review processes.\nConsider confidentiality, data protection, quality, security and responsible AI requirements when shaping solutions.\n Support risk assessments and document mitigations where required\nEscalate issues where risks, uncertainty or ownership questions require further review.\nReinforce that AI outputs are assistive and subject to appropriate human review where judgement, client service, regulatory or operational outcomes may be affected.\nMeasure value and continuously improve\n\n Define and track adoption, usage and value metrics for each improvement initiative.\nCapture measures such as active users, depth of use, time saved, quality improvements, stakeholder feedback and risk posture.\nMaintain clear reporting inputs for the process improvement pipeline.\nCapture lessons learned from pilots and implemented workflows.\nRecommend whether solutions should be refined, scaled, redesigned or decommissioned based on evidence.\n\nSkills, Knowledge and Expertise\nEssential experience\n\nThe successful candidate should have experience in several of the following areas:\nBusiness analysis, business process improvement, business relationship management, product adoption, digital transformation or AI-enabled change.\nWorking with business stakeholders to understand requirements, map processes and shape practical improvements.\nSupporting AI, automation, Microsoft 365, digital workplace tools or other technology-enabled business improvements.\nProducing process maps, opportunity statements, user stories, acceptance criteria, business cases, workflow documentation, prompt guidance, playbooks or adoption materials.\nWorking in an environment where governance, testing, validation, risk assessment, compliance or quality review are important.\nSupporting change with business users, including adoption planning, guidance, feedback gathering and continuous improvement.\nEssential skills\n\nStrong business analysis skills, including requirements gathering, process mapping and stakeholder validation.\nA process improvement mindset, with the ability to simplify workflows and identify practical interventions.\nPractical understanding of prompt engineering, prompt evaluation and reusable prompt pattern design.\nAbility to identify where AI, automation, agentic workflow concepts or existing technology can improve business outcomes.\nExcellent communication and facilitation skills, with the ability to explain AI and technology concepts in clear business language.\nStrong stakeholder management skills, including the ability to build trust, influence constructively and manage competing priorities.\nData literacy, including the ability to define and interpret adoption, usage, value and risk measures.\n Good understanding of responsible AI risks, including confidentiality, hallucination, bias, provenance, data quality, security and human review.\n\nDesirable experience or qualifications\n\nExperience in legal, professional services, corporate services, financial services or another regulated environment.\nBusiness analysis qualification such as BCS Business Analysis, PMI-PBA or equivalent.\nProcess improvement qualification such as Lean Six Sigma or equivalent.\nMicrosoft certifications such as AI-900, MS-900, PL-900 or SC-900.\nProject, Agile, change management, adoption or training-related qualifications.\nDemonstrable 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.","description_format":"text","description_chars":6777,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Legal Services","Custody & Fund Administration"],"lifecycle":[{"event":"open","at":"2026-09-15T19:48:30Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long 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