Ai Strategist

We’re building out our AI Advisory & Talent team and we’re looking for a senior **AI Strategist** who can work directly with executive teams to shape how GenAI shows up in their business - from first “aha” through to scaled adoption, secure and responsible.

You won’t be writing code - but you _will_ be the person who connects strategy, operating model, talent, data and technology into one coherent GenAI story.

**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