Role Purpose:
- The AI Strategist is a senior client-facing role within the AI Advisory & Talent value proposition.
- Their core mission is to turn GenAI potential into performance – helping clients build the systems that deliver meaningful, repeatable GenAI value, faster and more safely.
They work with executive and senior leaders to:
- Demystify GenAI,
- Shape a GenAI Vision and Strategy specific to each client,
- Design a GenAI Operating Model and integrated governance,
- Build Acceleration Plans / Roadmaps optimised for adoption,
- Guide the development and support of GenAI solutions end-to-end,
- Embed Secure & Responsible AI, insights, and structured change into the way GenAI is adopted and scaled.
Position in the Organisation:
- Reports to: Head of AI Advisory & Talent
Works with:
- C-suite and senior executives (CIO, CDO/CDAO, CHRO, CFO, COO, business heads)
- AI Solution Architect
- Data, AI, engineering and platform teams
- Risk, Legal, Compliance, Security and Audit
- HR, Learning & Talent, Change and Comms
- PMO / Portfolio and Transformation offices
Key Responsibilities:
Demystifying GenAI & Executive Education
Design and deliver Demystifying GenAI sessions for executives and leadership teams.
Explain:
- Core GenAI concepts, capabilities and limitations
- The business case and value levers for GenAI
- Risk, governance and responsible AI considerations
- Adapt content, examples and framing to the client’s industry, maturity and concerns.
GenAI Vision & Strategy
- Co-create a GenAI Vision tailored to each client’s strategy and readiness.
- Lead the development of GenAI Strategy, including:
- Strategic Intent and Keys to Winning
- Quick Wins and lighthouse initiatives
- Priority value pools and initiatives
- OKRs and outcome metrics
- Risk mitigation, guardrails and governance choices
- Ensure the strategy is practical, owned by the client, and linked to existing corporate strategy and transformation agendas.
Use-Case Discovery & Value Shaping
- Run use-case discovery with cross-functional teams, using structured canvases and workshops.
- Assess use cases for value, feasibility, risk and change impact.
- Shape and refine business/value cases and prioritisation backlogs.
Acceleration Plan / Roadmap Development
- Develop GenAI Acceleration Plans / Roadmaps that:
- Sequence initiatives logically and sustainably
- Integrate technology, operating-model, capability and change streams
- Include quick wins, scaling pathways and foundational investments
- Tailor adoption paths to each client – not “one size fits all” – considering culture, risk, regulatory environment and history with prior transformations.
Developing & Supporting GenAI Solutions (E2E)
- Partner with product, data and engineering teams to translate strategy into concrete GenAI solutions.
- Understand and guide the end-to-end lifecycle:
- Problem framing and user journeys
- Data availability and quality constraints
- Solution and model design trade-offs
- Evaluation, testing and acceptance criteria
- Deployment, monitoring, support and continuous improvement
- Help identify bottlenecks and structural issues in the E2E process, and recommend improvements.
Secure & Responsible AI and Integrated Governance
- Advise on Secure & Responsible AI practices – from data access and privacy, to model risk, bias mitigation, explainability and human oversight.
- Co-design integrated governance models that:
- Align risk, legal, compliance, security and audit with business and technology teams
- Define decision forums, approval check-points and escalation paths
- Integrate with existing governance (e.g. architecture boards, risk committees, portfolio boards).
GenAI Insights, KPIs, OKRs & Value Realisation
- Define GenAI Insights and measurement frameworks (KPIs, OKRs, dashboards).
- Ensure insights cover:
- Business outcomes (value, productivity, experience, risk)
- Adoption and usage
- Data and platform readiness
- Risk and control adherence
- Establish routines for reviewing insights and adjusting strategy, roadmap and change plans accordingly.
Quarterly Planning Leadership & Operating Rhythm
- Lead or support Quarterly Planning sessions focused on GenAI – often integrated into existing planning ceremonies.
- Facilitate alignment on:
- Priorities and trade-offs
- Capacity, skills and dependencies
- Risk and compliance implications
- Ensure a consistent operating rhythm for GenAI that blends weekly progress, monthly capability milestones and quarterly strategic review.
Comms Plan Development & Structured Change Management
- Co-develop communication plans with client communications and change teams, covering key audiences, messages, channels and cadence.
- Apply structured change management methods:
- Stakeholder analysis and engagement planning
- Change impact assessment and mitigation
- Training, enablement and support structures
- Feedback and continuous-improvement loops
- Ensure change and comms are not afterthoughts but core enablers of GenAI adoption.
Practice Development & Capability Building
- Contribute to the evolution of the GenAI Keys to Winning Operating System™, including Demystifying content, strategy and roadmap patterns, governance and insights frameworks.
- Coach internal colleagues and client teams in GenAI strategy, operating models, governance and change.
- Capture and share case studies, lessons and repeatable patterns.
Experience & Background:
Essential
- Typically 7–10+ years in a combination of:
- Strategy / management consulting / digital / transformation roles, and
- AI / analytics / data / GenAI-related initiatives.
- Proven experience working directly with executive and senior stakeholders.
- Demonstrated capability in:
- Vision and strategy development
- Operating-model and/or governance design
- Roadmap / acceleration planning
- Workshop design and facilitation
- Leading or contributing to change and adoption programmes.
Advantageous
- Experience in highly regulated industries (e.g. financial services, telco, public sector) where Secure & Responsible AI and integrated governance are critical.
- Experience with Agile / SAFe, product operating models, and quarterly/PI planning cycles.
- Exposure to AI/ML platforms, MLOps, or enterprise GenAI tooling.
go to method of application »
Gmail
Yahoomail