AI Product & Enablement Specialist

Purpose:

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 Groups 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.

• 36 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.