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Head of Business Enablement
Job in
Johannesburg, 2000, South Africa
Listed on 2026-09-23
Listing for:
Boardroom Appointments
Full Time
position Listed on 2026-09-23
Job specializations:
-
IT/Tech
Change Management, IT Business Analyst, AI Business & Operations, Business Systems & Technology Analysis -
Business
Change Management, AI Business & Operations, Business Systems & Technology Analysis
Job Description & How to Apply Below
About the job Head of Business Enablement HEAD OF BUSINESS ENABLEMENT (GEN-AI) - Contract position
A leading organisation is seeking a Head of Business Enablement to drive the adoption and value realisation of Generative AI across the enterprise.
This is a strategic leadership role responsible for building and managing a business-facing enablement capability, ensuring effective adoption of Gen-AI solutions while aligning business demand with technology delivery.
THE ROLEYou will lead a Gen-AI enablement function, acting as the bridge between business stakeholders and technology teams, ensuring demand is effectively prioritised, delivered, and translated into measurable business value.
Key responsibilities include:
- Owning the end-to-end business enablement operating model
- Leading and managing the enablement team across business units
- Ensuring service continuity, onboarding, and knowledge management
- Driving a delivery culture focused on practical outcomes and adoption
- Acting as the primary interface between business and technology leadership
- Leading governance forums, including operational reviews and steering sessions
- Providing transparent communication on delivery progress, adoption, and value
- Influencing stakeholders across executive and operational levels
- Owning the intake and prioritisation of Gen-AI-related demand
- Translating business needs into clear problem statements and delivery backlogs
- Distinguishing between tactical enablement and strategic platform initiatives
- Ensuring visibility and tracking across all demand pipelines
- Acting as the translation layer between business and engineering teams
- Overseeing structured escalation of complex requirements
- Tracking delivery progress and ensuring alignment between stakeholders
- Supporting delivery through clear articulation of value, risks, and dependencies
- Ensuring compliance with organisational governance, security, and data policies
- Maintaining risk, issue, and decision logs
- Ensuring all enablement artefacts are auditable and stored appropriately
- Defining and managing SLAs, KPIs, and performance metrics
- Producing operational and executive-level reporting
- Tracking adoption, throughput, reuse, and stakeholder satisfaction
- Driving continuous improvement based on data and insights
- Leading onboarding, tooling setup, and initial operating model deployment
- Driving early delivery of enablement assets (templates, playbooks, tools)
- Ensuring structured knowledge transfer and sustainable handover
Key requirements:
- Proven experience in business enablement, transformation, or adoption-led roles
- Experience leading operating models within complex organisations
- Experience leading multidisciplinary teams in delivery-focused environments
- Strong understanding of:
- Generative AI concepts and enterprise adoption
- Business-to-technology translation and solutioning
- Governance, reporting, and performance frameworks
- Strong communication, facilitation, and influencing skills
Advantageous:
- Experience with in financial services or regulated industries
- Exposure to managed service delivery models
- Experience working within Centre of Excellence (CoE) environments
- A strategic leader with strong commercial and delivery focus
- A connector between business and technology teams
- Outcome-driven with a focus on measurable value
- A strong communicator who can influence at all levels
- Structured, disciplined, and governance-oriented
- Adaptable and comfortable in fast-evolving environments
- Opportunity to lead enterprise-wide Gen-AI adoption initiatives
- High-impact role at the intersection of business and technology
- Exposure to cutting-edge AI and digital transformation programmes
- Strong visibility with executive leadership and key stakeholders
- Opportunity to shape operating models and drive measurable business value
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