AI Strategist – GenAI Advisory

Job title AI Strategist – GenAI Advisory & Talent Job Location Gauteng, Johannesburg Deadline December 26, 2025 Quick Recommended Links Jobs by Location Job by industries 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. Research / Data Analysis jobs #J-18808-Ljbffr