AI Strategist, Senior Manager

Role Summary

The Senior Manager, AI Builder is a hands-on client advisor and engagement lead responsible for converting business challenges into structured AI opportunities and implementation plans. The role conducts maturity and readiness assessments, facilitates discovery and use-case prioritisation, builds business cases, shapes PoCs and proposals, and manages day-to-day delivery. The Senior Manager works closely with senior AI Builders and multidisciplinary teams to create high-quality, reusable client assets and measurable outcomes.

Key Responsibilities

• Discovery and analysis: Interview stakeholders, document business processes and pain points, analyse data and readiness, and identify suitable AI, GenAI and agentic use cases.
• Use-case prioritisation and roadmap support: Evaluate value, feasibility, risk and dependencies; develop prioritisation models, phased roadmaps and adoption recommendations.
• Business case development: Build benefit hypotheses, cost estimates, ROI models, KPI baselines and value-tracking plans with support from finance, delivery and industry specialists.
• Solution and proposal development: Translate requirements into solution concepts, PoC scope, work plans, assumptions, risks and proposal content; coordinate inputs from architects, engineers, data specialists and partners.
• Engagement delivery: Manage workplans, junior team members, client meetings, actions, quality and executive-ready outputs for consulting assignments and PoCs.
• Responsible adoption: Incorporate governance, security, privacy, human oversight and change-management considerations into recommendations and delivery plans.
• Market enablement: Research industry trends, create reusable use-case content and demos, support account pursuits, and share lessons across the APJ AI Builder community.
  
  

Key Performance Indicators

• Quality and on-time completion of assessments, roadmaps, business cases, proposals and PoCs
• Pipeline and bookings influenced through assigned pursuits and client engagements
• Client stakeholder satisfaction and progression from discovery to funded next step
• Reusable assets, insights and team upskilling contributions
  
  

Billability: 30%

Experience & Skills

• Typically 8–12 years of experience in consulting, business analysis, product or programme management, technology strategy, data and AI, or digital transformation.
• Experience leading workstreams or small teams and working directly with senior client stakeholders in discovery, advisory, solution or delivery settings.
• Practical understanding of Generative AI, Agentic AI, LLMs, RAG, context engineering, Responsible AI, governance, enterprise data and cloud AI platforms.
• Strong analytical skills in process assessment, use-case evaluation, roadmap development, benefits modelling and preparation of executive-ready materials.
• Ability to coordinate across business, architecture, engineering, data, security and change teams and to manage ambiguity in fast-moving engagements.
• Relevant industry or functional expertise and the ability to explain technical concepts in clear business language.
  
  

Bachelor's degree or equivalent experience; relevant AI, cloud, data, agile, product or consulting credentials are advantageous