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Executive Head - Group AI Factory

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Vodafone

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Location:
South Africa , Johannesburg

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

The Group AI Factory Executive Head is a senior technical leadership role responsible for steering the design, build, and scalable deployment of AI services across Vodacom Group markets. This role will spearhead the AI Factory — the central engine for delivering reusable, high-impact AI services aligned to Vodacom’s three strategic AI impact pillars: Customer Experience (CX), Monetization, and Productivity — driving measurable impact and positioning Vodacom as an AI-native organisation by 2030.

Job Responsibility:

  • Provide executive technical AI leadership for the AI Factory, setting the vision, roadmap, and delivery priorities for centrally built AI services across Vodacom Group markets
  • Lead the end-to-end design, development, and operationalisation of reusable AI services in the AI services library, spanning CX, Monetization, and Productivity AI Impact Pillars across domains
  • Drive alignment of the AI Factory deliverables with Vodacom’s Group AI strategy, the Vodafone Group GenAI framework and Tech enablement strategy for AI
  • Serve as a senior thought leader, contributing industry insights and shaping Vodacom’s positioning as a pioneer in AI innovation across Africa and the Vodafone ecosystem
  • Architect and deliver scalable, reusable AI services that can be rapidly adopted and adapted across all Vodacom Group markets
  • Establish and maintain a unified AI services repository with robust governance, operational frameworks, and lifecycle management processes
  • Drive tangible efficiency gains through scaled deployments of classical, GenAI, agentic AI solutions in line with Vodacom’s Technology framework
  • Champion AI Factory best practices across all key business domains including SCM, Technology, Network, CX, CVM, Enterprise, Channels ensuring alignment with strategic AI business cases
  • Lead successful AI services adoption across Vodacom Group markets — South Africa, Egypt, Kenya, Tanzania, DRC, Mozambique, Lesotho and Ethiopia — to maximise value capture and impact at scale
  • Work closely with in-market AI and Tech team to ensure effective implementation, localisation, and adaptation of centrally built AI services
  • Define and track KPIs for AI Factory output, measuring diffusion rates, adoption rates, time-to-value, model efficacy across use case categories
  • Collaborate with the Group Data and Analytics teams to provide evidence-based insights that drive strategic decisions leveraging new AI technologies
  • Build and manage strategic AI partnerships with Hyperscalers (AWS, Google Cloud, Microsoft Azure, Huawei) to strengthen AI delivery capability, accelerate prototype development, and leverage cloud-native AI tooling
  • Contribute to and leverage the Vodafone Group AI ecosystem, driving synergies, re-use of standardised AI frameworks, and global best practice sharing
  • Evaluate and integrate emerging AI technologies, including agentic AI, multimodal models, and real-time decisioning platforms, to maintain Vodacom’s competitive advantage
  • Represent Vodacom Group in AI forums, industry bodies, and partner engagements to build thought leadership and strategic relationships
  • Lead, inspire, and develop a high-performing AI Factory squads made up of data scientists, AI engineers, MLOps practitioners, and solution architects
  • Foster a culture of innovation, experimentation, and continuous learning, with a focus on responsible and ethical AI development
  • Drive AI literacy and capability uplift across Vodacom Group markets, enabling broader adoption and embedment of AI in day-to-day operations
  • Mentor and develop senior data scientists and AI leads within the Group Big Data, AI & IA function

Requirements:

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics or a relevant quantitative field (essential)
  • Master’s degree advantageous
  • Relevant executive leadership or management certification advantageous (e.g., MBA)
  • Minimum of 10 – 15 years of progressive experience in AI, Data Science, or related fields
  • At least 5 years in a senior technical leadership or executive role
  • Proven track record of designing and delivering large-scale AI products, platforms, or services in a complex, multinational or multi-market environment
  • Deep hands-on experience in GenAI, Large Language Models (LLMs), Agentic AI, and real-time AI decisioning systems
  • Extensive experience building, managing, and scaling AI/ML teams across diverse, cross-functional environments
  • Experience working with or within Hyperscaler ecosystems (AWS, Google Cloud, Microsoft Azure) at an enterprise or strategic partnership level
  • Demonstrated success in driving adoption and commercialisation of AI use cases with measurable business impact
  • Familiarity with AI governance, ethics, and regulatory compliance frameworks at scale
  • Expert-level proficiency in Python and/or other relevant AI/ML programming languages (R, Scala, Java)
  • Deep knowledge of machine learning and deep learning frameworks including PyTorch, TensorFlow, scikit-learn, H2O, and XGBoost
  • Expertise in LLM architecture, fine-tuning, prompt engineering, and RAG (Retrieval-Augmented Generation) patterns
  • Hands-on experience with MLOps and LLMOps — including CI/CD pipelines, model versioning, monitoring, and drift detection — using tools such as MLflow, Kubeflow, or SageMaker
  • Strong cloud-native AI deployment experience across AWS (SageMaker, Glue, Athena, Lambda, OpenSearch), GCP, and/or Azure ML
  • Proficiency in containerisation and orchestration technologies including Docker and Kubernetes
  • Experience with real-time and batch inference architectures, recommendation systems, NLP, and computer vision at scale
  • Working knowledge of data engineering platforms, structured (SQL) and unstructured data tools (PySpark, NoSQL, streaming frameworks such as Kafka or Flink)
  • Familiarity with advanced analytics visualisation tools such as Tableau, Power BI, Apache Superset, Grafana, or Plotly
  • Exceptional executive leadership presence with the ability to influence and engage C-suite stakeholders, market CEOs, and global partners
  • Design and systems thinking in relation to AI and Machine Learning ecosystems at an enterprise scale
  • Entrepreneurial mindset with a bias for action, pace, and delivery in ambiguous, fast-changing environments
  • Outstanding communication and storytelling skills
  • Demonstrated ability to build, motivate, and retain high-performing, diverse technical teams
  • Customer-obsessed approach
  • High ethical standards with a commitment to responsible AI development, fairness, and transparency

Nice to have:

  • Master’s degree
  • Relevant executive leadership or management certification (e.g., MBA)

Additional Information:

Job Posted:
March 01, 2026

Expiration:
March 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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