AI Strategist – GenAI Advisory & Talent needed at IQbusiness

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.