Serve as the technical backbone of the AI Hub. Design, build, productionise and maintain core AI/ML infrastructure and reusable components that will power the DT2.0 platform build, priority use cases, and the Group's intelligent transformation. Key Responsibilities Act as Product Owner for the AI-Powered Technical Sales Presentation and Demo Facilitation capability (mission-critical priority) — driving roadmap, backlog, release cadence and adoption. Maintain deep, current technical understanding of the AI portfolio — every capability, integration and limitation — so demos, training and enablement materials are accurate and credible. Design, build and maintain interactive demos, sandbox environments and click-through prototypes that showcase AI capability to internal stakeholders and prospective clients. Drive business alignment, use-case refinement, value tracking and ROI measurement for all AI initiatives. Lead the design and rollout of workforce productivity tools and AI training programmes across development, operations, product and sales teams. Work closely with Sales, Product and Platform teams to embed AI into DT2.0 customer-facing components (Storefront, dashboards, self-service portals). Facilitate cross-functional AI Squads and secondments, ensuring strong collaboration and knowledge transfer. Translate AI capabilities into clear business value propositions and support pre‑sales activities with product expertise, demos and enablement collateral. Produce enablement and value‑proposition assets — case studies, demo videos, one‑pagers and internal playbooks. Contribute to AI readiness assessments and governance processes from a business and user‑experience perspective, aligned to the Responsible AI Policy, PCI‑DSS and POPIA. Requirements & Qualifications BSc Computer Science or equivalent technical degree preferred. Equivalent commercial backgrounds with strong technical fluency (engineering plus MBA, ex‑consulting, ex‑solutions architecture) will be considered. 3–6 years' experience in product management, technical product ownership, solutions engineering or AI enablement roles. Strong understanding of AI/ML concepts — LLMs, RAG, agents, prompt engineering, model evaluation — sufficient to architect demos, qualify use cases and engage credibly with engineering on trade‑offs. Demonstrated ability to build interactive demos, sandbox environments or click‑through prototypes (familiarity with Storylane, Reprise, Navattic, or custom‑built sandboxes is an advantage). Excellent storytelling, narrative design and stakeholder communication — comfortable presenting to senior internal stakeholders and supporting client‑facing conversations. Experience producing enablement and value‑proposition collateral — case studies, demo videos, whitepapers, internal playbooks. Experience in fintech, payments, SaaS or digital transformation environments is highly advantageous. Familiarity with the SA payments and banking landscape is a plus. Demonstrated ability to build and deliver training, enablement programmes or product readiness initiatives. Comfortable working with both technical and non‑technical audiences. Passion for user‑centric design and driving measurable business impact through technology. What Success Looks like in 12 months AI‑Powered Technical Sales & Demo tools are in production and actively used by the sales team, contributing to shorter sales cycles and higher non‑bank win rates. Internal AI adoption and productivity gains are measurable and visible across divisions. Multiple AI squads are running smoothly with strong business ownership and clear value delivery. A documented and reusable library of demos, case studies and enablement assets exists. #J-18808-Ljbffr