Available Positions at Vodafone Global Enterprise

Role Purpose/Business Unit:

• The position will champion the transformation of fixed services by identifying new revenue opportunities, optimizing product portfolios, and enhancing go-to-market approaches to maximize penetration, adoption, and profitability. This includes end-to-end ownership of proposition design, pricing strategy, and commercial performance, ensuring alignment with customer needs, network capabilities, and broader business objectives.
• Through strong cross-functional leadership, the role will translate strategic intent into execution, accelerating growth across FWA and FTTX while strengthening ISP competitiveness, improving customer experience, and enabling long-term value creation.

Your responsibilities will include:

Commercial Strategy & Growth

• Define and execute the Fixed Commercial strategy, aligning to market opportunities, competitive dynamics, and growth ambitions.
• Lead the development of prepaid fixed broadband propositions, targeting underserved and value-conscious segments.
• Drive revenue growth through: ARPU expansion, Customer acquisition and base growth.
• Upsell and cross-sell (including fixed-mobile convergence).
• Translate market trends and customer insights into actionable commercial plans.
• Own product and proposition strategy, including service plans, bundles, pricing, installations, support channels, and competitive positioning.

Product & Proposition Management

• Own the full product lifecycle across Fixed Broadband, including Prepaid, postpaid, and hybrid service plans, Bundles, pricing models, and value-added services, Installation and fulfilment models.
• Ensure strong commercial viability and competitiveness of all propositions.
• Benchmark against competitors and continuously refine offerings.

Go-to-Market & Distribution

• Define and execute go-to-market strategies, including Channel strategy (retail, digital, partner ecosystems), Distribution models optimised for prepaid accessibility and scale, Segmentation and targeted acquisition campaigns.
• Drive marketing effectiveness and brand positioning in broadband.
• Optimise sales funnel performance and conversion rate.

Customer Lifecycle & Experience

• Design and manage the end-to-end customer lifecycle, with strong application of prepaid principles: Acquisition and onboarding, Usage stimulation and recharge behaviour, Retention and churn management.
• Work closely with Customer Experience teams to improve activation journeys, support models, customer satisfaction and trust.

Commercial Performance & Optimisation

• Track and manage key commercial KPIs: Revenue, ARPU, subscriber growth, Churn, acquisition cost, lifetime value.
• Drive continuous improvement across the broadband value chain to enhance profitability.
• Develop business cases and financial models to support decision-making.

Cross-Functional Leadership

• Lead cross-functional delivery teams across Commercial, Technology, Finance, Operations, and Customer Experience, sales to drive coordinated execution.
• Collaborate with Technology (network capability alignment), Finance (pricing, business cases, profitability), Sales & Distribution (channel execution) and Customer Experience (journey optimisation).
• Drive projects toward clear business outcomes, execution milestones, and measurable results.
• Build alignment and consensus across multiple stakeholders and operating companies.

The ideal candidate for this role will have:

• Degree in Commerce, Engineering, Telecommunications, Science, or related discipline.
• Postgraduate qualification (MBA, Masters, or equivalent) advantageous.
• Strong experience in Fixed Broadband, ISP, FWA, FTTH, or Telecommunications strategy.
• Minimum 5 years’ experience in broadband commercial management within. 

Core competencies, knowledge, and experience:

• Strong analytical and problem-solving capability.
• Excellent verbal and written communication skills.
• Strong strategic planning and project management capability.
• Commercial understanding of ISP, FWA, and FTTX business models.
• Ability to manage complex stakeholder environments.
• Excellent influencing, negotiation, and leadership capability.
• Strong understanding of Fixed Broadband strategy and execution best practices.
• Knowledge of FWA, FTTH, FTTB, ISP operating models, and broadband market dynamics.
• Understanding the Fixed broadband commercial frameworks.
• Experience in broadband growth strategy, customer lifecycle management, and operational transformation.
• Strong understanding of telecom market trends, competition, and consumer broadband behaviour.

We make an impact by offering:

• Enticing incentive programs and competitive benefit packages
• Retirement funds, risk benefits, and medical aid benefits
• Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies

Closing date for Applications: 8 July 2026. 

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Role Purpose/Business Unit:

• This role is responsible for designing, developing, and maintaining decisioning workflows and integrations within the DataView360 platform to support automated credit vetting, scoring, and risk-based decisioning.

Your responsibilities will include:

• Develop and configure credit decisioning rules, workflows, and data integrations within the DataView360 platform.
• Collaborate with credit risk analysts to translate business requirements into technical solutions.
• Integrate external data sources (e.g., credit bureaus, fraud detection services) via APIs and batch processes.
• Optimize system performance and ensure high availability of credit vetting services.
• Maintain documentation for configurations, rules, and system interfaces.
• Support testing, deployment, and troubleshooting of new features and enhancements.
• Ensure compliance with data protection and financial regulations (e.g., POPIA, GDPR, PCI DSS).

The ideal candidate for this role will have:

• Matric is essential
• A relevant IT 3-year tertiary qualification is essential.
• 3-5 years’ experience in a software development environment is essential.
• Understanding of credit scoring models, risk segmentation, and loan origination workflows.

Job knowledge:

• Solid knowledge of credit vetting processes, including scorecard logic, affordability assessments, and risk segmentation.
• Experience configuring decision trees, rules engines, and workflow orchestration
• Agile/Scrum development experience.
• Ability to work under pressure and manage multiple priorities.

Skills:

• Strong proficiency in Java, Python, or C#.
• Experience with SQL and relational databases (e.g. Oracle, MySQL, Mongo).
• Familiarity with credit decisioning systems, ideally DataView360 or similar platforms (e.g. Experian, TransUnion, XDS etc.).
• Knowledge of RESTful APIs, SOAP, and data integration techniques.
• Understanding of credit scoring models, risk segmentation, and loan origination workflows.
• Exposure to cloud platforms (AWS, Azure) and CI/CD pipelines.
• Excellent problem-solving and communication skills.

We make an impact by offering:

• Enticing incentive programs and competitive benefit packages
• Retirement funds, risk benefits, and medical aid benefits
• Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies

Closing date for Applications: 08 July 2026.  

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Role Purpose/Business Unit:

• To design, develop, and continuously improve secure infrastructure automation capabilities that enable Zero Touch Operations across on-premise platforms, private cloud, public cloud, and operational technology teams.
• The role accelerates delivery through reusable automation patterns, infrastructure-as-code practices, integration standards, and governed self-service workflows that improve reliability, consistency, compliance, and operational efficiency.

Your responsibilities will include:

• Designing and building enterprise automation and orchestration capabilities that move operational teams towards Zero Touch Operations across on-premise infrastructure, private cloud, public cloud, and platform services.
• Creating reusable automation patterns, workflow templates, integration standards, and common services that enable safe, standardised, self-service execution with minimal manual intervention.
• Developing, testing, and maintaining infrastructure-as-code, configuration-as-code, and workflow automation that integrates with systems, cloud platforms, APIs, repositories, pipelines, and operational toolsets.
• Providing technical guidance, enablement, and escalation support for production automation, including exception handling, failure remediation, access controls, auditability, and operational resilience.
• Maintaining automation documentation, coding standards, runbooks, and knowledge-sharing material to improve adoption, supportability, compliance, and reuse across teams.

The ideal candidate for this role will have:

• Grade 12 is essential.
• A 3-year bachelor's degree/diploma in Computer Science, Information Systems, or a related technology field is essential.
• 3 - 5 years' relevant experience in infrastructure automation, platform engineering, DevOps, or cloud automation.
• Relevant vendor or professional certifications aligned to automation, cloud, DevOps, platform engineering, or infrastructure operations are desirable; equivalent practical experience will be considered.

Practical experience should include:

• Workflow automation and orchestration using enterprise automation platforms or equivalent tooling.
• Integration with virtualisation, operating systems, containers, private cloud, public cloud, Kubernetes-based platforms, ITSM tools, APIs, and operational monitoring systems.
• Server operating system automation for Windows and Linux, including provisioning, configuration, patching, compliance checks, and lifecycle operations.

Core competencies, knowledge, and experience:

• Strong expertise in infrastructure automation, orchestration, and infrastructure-as-code across hybrid environments.
• Experience with enterprise automation platforms, including Ansible Automation Platform or equivalent tooling, configuration management, event-driven automation, and governed self-service execution.
• Strong software engineering practices, including Python, scripting, source control, testing, modular design, peer review, and CI/CD or GitOps integration.
• Ability to design reusable automation frameworks and standard execution patterns that reduce manual intervention and advance Zero Touch Operations.
• Good understanding of secure production operations, including ITIL, Agile delivery, access controls, change governance, auditability, compliance evidence, and operational resilience.
• Strong stakeholder engagement skills, with the ability to coach engineers, shape standards, promote reuse, and guide teams through automation adoption.

We make an impact by offering:

• Enticing incentive programs and competitive benefit packages
• Retirement funds, risk benefits, and medical aid benefits
• Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies

Closing date for Applications: 08 July 2026 

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Role Purpose/Business Unit:

• The Principal Architect: Systems and Business Enablement serve as the senior authority responsible for shaping and integrating the organisation’s technology, processes, and data into a unified operating model. The role drives the design, governance, and assurance of end to end architecture across VBTS OSS, ITSM (ServiceNow), and analytical platforms.
• Functionally, the role ensures that systems, processes, and data are aligned and operate as a cohesive, standards driven ecosystem. It enables scalability, automation, and data led decision-making by establishing robust architectural frameworks, enforcing best practices, and guiding the evolution of platforms and capabilities. The position ultimately underpins consistent, efficient delivery and business performance across VBTS.

Your responsibilities will include:

Enterprise Architecture & Design Authority

Define and maintain current‑state and target‑state architectures across:

• OSS platforms (assurance, provisioning, inventory, activation)
• ITSM / ServiceNow ecosystem
• Data and analytics platforms
• Act as the design authority for all significant system and integration changes
• Review and approve solution designs to ensure alignment with architectural standards and strategic intent
• Reduce architectural complexity, technical debt and duplicated capability

Process Architecture & Standardisation

• Define and govern end‑to‑end process architectures spanning assurance, fulfilment, service management and reporting

Ensure process designs are:

• Digitally enabled
• Automation‑ready
• Consistent with ITIL, TMF and enterprise process frameworks
• Work with business analysts and enablement teams to translate operational needs into executable process models

Data Architecture & Governance

Own the VBTS data architecture, including:

• Canonical data models
• System‑of‑record definitions
• Data flow and lineage models

Establish and enforce data governance standards, covering:

• Data ownership and stewardship
• Data quality, integrity and consistency
• Master and reference data management
• Ensure reliable, auditable and reusable data across OSS, ITSM and analytics platforms

Integration & Automation Architecture

Define standards for:

• System integrations and APIs
• Event‑driven and orchestration‑based automation
• Workflow and rules‑based processing
• Ensure integrations are resilient, secure and scalable
• Drive architectural patterns that enable proactive, predictive and automated operations

ServiceNow Technical & Platform Architecture

• Serve as the technical authority for ServiceNow implementations within VBTS

Define architectural patterns for:

• Module usage (TSM, TSOM, OMT, TNI, SPM)
• Integration with OSS, field force, analytics and finance systems
• Data and reporting enablement
• Ensure ServiceNow configurations adhere to best practice, performance and upgradability standards

Architecture Governance & Assurance

• Establish and run architecture review forums in support of the EHOD

Participate in portfolio and PMO governance to:

• Assess architectural impact of initiatives
• Identify dependencies and risks early
• Ensure architectural readiness before deployment
• Provide authoritative advice to the EHOD on design trade‑offs and technical risk

Technical Leadership & Mentorship

Provide architectural leadership and mentorship to:

• Domain architects
• Solution designers
• Senior business analysts and data specialists
• Uplift architectural maturity and documentation standards across the function

The ideal candidate for this role will have:

• Matric is essential.
• Bachelor’s degree/Diploma in Computer Science, Information Systems, Electrical / Electronic Engineering, or related technical discipline (required)
• Postgraduate qualification (MSc, MEng, MBA or equivalent) (advantageous)
• Formal architecture certifications (TOGAF, TMF, ITIL, or equivalent) (advantageous)
• Minimum 8+ years of experience in architecture, OSS, ITSM or enterprise systems roles
• Proven experience as a lead or principal architect within complex enterprise or telecoms environments
• Deep hands‑on experience with:
• OSS architectures and integrations
• ITSM / ServiceNow implementations
• Data architecture and analytics enablement
• Strong track record in architectural governance and large‑scale platform evolution

Core competencies, knowledge and experience:

• Approved target and solution architectures
• Standardised process and integration models
• Clear data models and governance artefacts
• Reduced complexity and technical debt
• Architecture decisions that directly enable automation, analytics and operational scale
• Strong system and abstraction thinking
• Pragmatic, outcome‑oriented architecture
• Ability to explain complex technical concepts to non‑technical stakeholders
• Authority without reliance on hierarchy

We make an impact by offering:

• Enticing incentive programs and competitive benefit packages
• Retirement funds, risk benefits, and medical aid benefits
• Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies

Closing date for Applications: 09 July 2026 

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Role Purpose/Business Unit:

• The SAP Solution Architect is responsible for designing and architecting end-to-end SAP solutions across SAP S/4HANA, SAP Business One, and SAP Cloud Migration Services for Vodacom’s enterprise and mid-market clients. The role’s primary purpose is to ensure that clients can modernise, migrate, and optimise their SAP landscapes through well-architected, secure, and scalable cloud-enabled solutions.
• This position focuses on cloud migration architecture and transformation enablement, providing expert guidance in moving SAP workloads from on-premise or legacy environments to public, private, or hybrid cloud infrastructures — including Vodacom Cloud, AWS, Azure, and Google Cloud.
• The architect will assess existing client environments, define target-state architectures, and develop migration roadmaps aligned with SAP best practices, RISE with SAP frameworks, and Vodacom’s cloud-first strategy.

The role requires deep hands-on expertise in:

• SAP S/4HANA (on-premise, Private Cloud, and Public Cloud editions) for enterprise ERP transformation.
• SAP Business One for agile ERP implementations in the SME and mid-market space.
• SAP Business Technology Platform (BTP) and Integration Suite for extensions, integrations, and data orchestration during and post-migration.
• Cloud Migration Services — including infrastructure sizing, landscape design, system conversions, data migration, and performance optimization across hybrid or full-cloud environments.
• The SAP Solution Architect works closely with Vodacom’s client engagement, pre-sales, and delivery teams to design comprehensive SAP-to-Cloud migration architectures. This includes evaluating infrastructure options, defining integration blueprints between SAP and Vodacom’s cloud ecosystem, and ensuring compliance with data security, governance, and performance standards.
• A key responsibility of the role is to bridge business and technical requirements, translating client objectives into deployable SAP architectures that minimise risk, accelerate deployment, and maximise ROI. The architect will also provide design oversight and advisory support during project execution to ensure that implemented solutions remain aligned with the approved architecture.
• Ultimately, the purpose of this role is to enable Vodacom’s clients to modernise their SAP environments through intelligent, cloud-ready architectures — ensuring that every migration delivers resilience, scalability, and business agility within the broader digital transformation journey.

Your responsibilities will include:

• Solution Architecture & Design: Design and document end-to-end architectures for SAP S/4HANA, SAP Business One, and Cloud Migration projects, ensuring alignment with client needs, SAP best practices, and Vodacom’s cloud standards.
• Cloud Migration Planning: Assess existing SAP environments and develop cloud migration strategies, including system conversion, data migration, and hybrid deployment models across Vodacom Cloud, AWS, Azure, or GCP.
• Technical Advisory & Pre-Sales: Support client engagements with solution scoping, design workshops, and technical input during proposals, ensuring solutions are feasible, scalable, and value-driven.
• Integration & Data Management: Define integration and data migration architectures using SAP BTP and Integration Suite to ensure seamless interoperability and data consistency across systems.

The ideal candidate for this role will have:

• Essential Bachelors Degree / BSc degree
• >10 years SAP experience
• >10 years in SAP Sales 
• Excellent English language skills (verbal and written)
• SAP Sales Certification – Optional 

Core competencies, knowledge and experience:

• Extensive experience in designing and delivering SAP S/4HANA, SAP Business One, and Cloud Migration solutions for enterprise and mid-market clients.
• Proven ability to engage in solution consulting and value proposition development, aligning SAP architectures with measurable business outcomes and ROI.
• Strong exposure to management consulting environments, with a focus on business transformation, process optimisation, and digital enablement.
• Skilled in solution selling — supporting pre-sales teams with business case modelling, architecture presentations, and strategic bid responses.
• Deep technical and functional understanding of SAP ecosystems, including BTP, Integration Suite, Fiori, and Analytics, with a focus on cross-domain integration.
• Experience conducting discovery workshops, requirement assessments, and client advisory sessions to shape architecture strategy and roadmap definition.
• Ability to articulate the business value of SAP investments, translating complex technology designs into clear commercial and operational benefits.
• Knowledge of RISE with SAP, SAP Activate methodology, and cloud migration frameworks for private, public, and hybrid landscapes.
• Excellent analytical, documentation, and stakeholder engagement skills, with a structured, outcome-driven consulting approach.
• Demonstrated success in multi-stakeholder client delivery environments, maintaining quality, governance, and alignment with business priorities.
• Experience in Management Consulting 

We make an impact by offering:

• Enticing incentive programs and competitive benefit packages
• Retirement funds, risk benefits, and medical aid benefits
• Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies

Closing date for Applications: 09 July 2026. 

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Role Purpose/Business Unit:

• We want to make buying and using our business products simple and easy for customers. To make this happen, our products need to be launched quickly and effectively, based on Business customers’ needs.
• The Scrum Half is responsible for developing and leading a high-performing, multi-discipline squads to launch new products and/or enhance existing products, across a range of segments and channels.  
• You will be a qualified and experienced Scrum Master.  You are highly collaborative, organised and a strong communicator with the ability to influence all levels. You are required to facilitate Agile delivery, remove impediments, and ensure continuous flow of value aligned to Vodacom’s SAFe operating model within Core Network Engineering.
• You will have a track record of coaching and managing individuals and/or teams to succeed.

Your responsibilities will include:

• Facilitate all Scrum and SAFe ceremonies (Sprint Planning, Stand-ups, Reviews, Retrospectives, PI Planning, ART Syncs).
• Identify, track, and resolve impediments, escalating systemic issues where required.
• Ensuring the path is clear: removing blockers, securing capacity, providing seamless communications and working to clarify the sprint backlog. 
• Ensure accurate Jira usage, backlog hygiene, and delivery transparency through metrics.
• Manage cross-team dependencies and support stakeholder alignment. Ensuring deliveries with quality, innovation and automation at the heart. 

The ideal candidate for this role will have:

• A Diploma or Degree in Engineering.
• SAFe Scrum Master (SSM) or equivalent certification.
• Professional Scrum Master (CSM/PSM) (advantageous).
• Working knowledge of Jira and Confluence.
• Understanding of Agile and SAFe delivery frameworks.
• Exposure to Products & Services, Intelligent Networks, IT within a telecommunications environments (essential).

Core competencies, knowledge, and experience:

• Experience working within a Telecoms Product environment preferred.
• Facilitation excellence and structured communication.
• Strong problem-solving and conflict resolution skills.
• Stakeholder engagement across cross-functional teams.
• Data-driven mindset with Agile metrics understanding.
• Experience creating Program Dashboards in programs such as Power BI would be a great advantage.

We make an impact by offering:

• Enticing incentive programs and competitive benefit packages
• Retirement funds, risk benefits, and medical aid benefits
• Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies

Closing date for Applications: 10 July 2026. 

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What you’ll do

Role purpose:

• To coordinate and execute site acquisition, land rights administration, statutory approvals and permitting activities required for telecommunications infrastructure deployment.
• The role supports the achievement of rollout objectives by facilitating regulatory approvals, engaging stakeholders, managing consultants, and ensuring compliance with applicable legislation and MAST policies within agreed timelines and quality standards.

Who you are

Key accountabilities and decision ownership:

• Coordinate end-to-end site acquisition and permitting activities for assigned telecommunications infrastructure projects.
• Secure land rights, landlord consents, municipal approvals and statutory permits in accordance with regulatory requirements and MAST standards.
• Engage and maintain relationships with municipalities, regulatory authorities, landlords, consultants and internal stakeholders to facilitate approvals.
• Monitor progress against programme milestones, identify risks and escalate delays to management with recommended interventions.
• Ensure accurate record keeping, reporting and administration of site acquisition documentation and permitting activities.
• Core competencies, knowledge and experience:
• Sound knowledge of telecommunications site acquisition and permitting processes.
• Strong stakeholder engagement, negotiation and communication skills.
• Planning, coordination and project administration capabilities.
• Analytical thinking and problem-solving ability.
• Ability to manage multiple projects and deliver within tight deadlines. 
• Must have technical / professional qualifications:
• Bachelor’s Degree or Diploma in Construction Management, Property Studies, Town Planning or related field.
• Minimum of 3–5 years' experience in telecommunications site acquisition and permitting.
• Knowledge of municipal approval processes and relevant legislation. 

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Role Purpose/Business Unit:

• To lead the end-to-end commercial management agenda for Vodacom Wholesale across Mobile, Carrier, and Beyond Mobile, ensuring sustainable revenue growth, margin protection, pricing governance, deal quality, and disciplined PnL performance.
• The role provides commercial leadership across the wholesale lifecycle, from opportunity qualification, pricing, business case approvals and contract enablement through to billing, revenue assurance, forecasting, performance tracking, and commercial interventions.
• The role partners closely with Wholesale sales, product, technology, finance, legal, regulatory, delivery and support teams to convert strategically aligned opportunities into profitable, executable, and compliant wholesale outcomes while maintaining a single commercial view of divisional performance.

Your responsibilities will include:

Strategy Formulation & Execution: 

• Lead the Wholesale commercial performance agenda across Mobile, Carrier and Beyond Mobile, ensuring clear growth, margin, and PnL priorities.
• Chair and govern the Wholesale Pricing Steerco, ensuring pricing decisions are commercially robust, margin accretive, compliant with DOA requirements, and aligned to wholesale strategy.
• Define and maintain pricing, discounting, and margin management frameworks for wholesale propositions, including roaming, MVNO/MVNE, APN, RBD, WASP, Roaming, fixed connectivity, IP transit, backhaul, subsea, interconnect, national and international messaging, API Monetisation, and emerging wholesale services.
• Lead commercial qualification of high-value and complex wholesale opportunities, including go/no-go recommendations, risk assessment, scenario modelling, and deal-shaping support to sales leadership.
• Own the commercial review of business cases, valuations, P&Ls, NPVs and investment cases to ensure that wholesale deals are profitable, executable, and strategically aligned.
• Partner with Finance Business Partners and PnL owners on Wholesale budgeting, forecasting, revenue assurance, margin assurance, IBRO views, and monthly performance interventions.
• Identify commercial trends, revenue leakage, margin pressure, delivery constraints and billing anomalies, and convert insights into clear corrective actions for the Wholesale leadership team.
• Standardise commercial modelling, pricing packs, reporting, governance templates and performance dashboards to create one version of the truth for Wholesale decision-making.
• Support C-level customer engagements, complex negotiations, tender responses and strategic partner discussions with clear commercial positions and data-backed recommendations.
• Oversee commercial governance for wholesale agreements, service schedules, billing readiness, contract amendments, and reporting obligations in partnership with Legal, Contract Management and delivery teams.

Business Enablement 

• Identify new wholesale revenue opportunities, commercial improvement areas, and margin optimisation levers across the Mobile, Carrier and Beyond Mobile portfolios.
• Translate wholesale market, customer, technology and regulatory dynamics into commercially viable propositions, pricing constructs and operating interventions.
• Produce high-quality commercial papers, executive reports and decision packs that clearly articulate deal economics, risks, assumptions, sensitivities, customer impact and recommended actions.
• Use advanced modelling, sensitivity analysis and scenario planning to assess risk, profitability, payback, investment viability and long-term wholesale margin sustainability.
• Support deal execution by ensuring commercial commitments are aligned to executable delivery plans, approved pricing, contractual terms, billing capability and service readiness.
• Drive continuous improvement in the Wholesale commercial operating model, including simplified governance, automated insights, disciplined pipeline-to-revenue tracking and stronger accountability across the rumour-to-cash lifecycle.

Stakeholder Management

• Act as the central commercial interface between Wholesale PnL owners, Sales, Finance, Product, Technology, Legal, Regulatory, Delivery, Billing, Revenue Assurance and Group stakeholders.
• Create alignment on commercial priorities, financial planning, performance tracking, risk mitigation and intervention ownership across the Wholesale leadership team.
• Partner with PnL owners to manage strategic wholesale customers and partners, including C-level engagements, commercial escalations, renewals, rate changes and industry forums.
• Maintain commercial neutrality and transparency in Wholesale engagements, recognising Wholesale’s role in serving operators, ISPs, FNOs, MVNOs, enterprises and strategic partners that may also compete with other Vodacom channels.
• Collaborate with analytics and automation teams to improve insight quality, forecasting accuracy, commercial controls and management visibility across Wholesale.

Delivering through People: 

• Build and lead a high-performance Wholesale commercial management capability focused on profitable growth, margin discipline, commercial controls and customer-centred execution.
• Develop commercial, financial, pricing, modelling, negotiation and wholesale market capability within the team.
• Drive clear ownership of pricing governance, deal reviews, business case quality, contract enablement, billing readiness, reporting and performance interventions.
• Create strong collaboration between commercial management, sales, product, finance, technology, legal, regulatory and delivery teams to improve speed, quality and accountability.
• Embed performance management, coaching, knowledge sharing and continuous improvement practices that strengthen Wholesale execution discipline.
• Embed the Spirit of Vodacom by living the Spirit behaviours and culture codes while maintaining high engagement, accountability and ethical commercial conduct.
• When required, initiate disciplinary processes for team members with support from HR.
• Resolve grievances raised by team members and escalate where required.
• Recognise strong contribution and commercial impact through appropriate Vodacom recognition platforms.

The ideal candidate for this role will have:

• B Degree in Business, Finance or related field  
• Postgraduate qualifications/MBA (Desirable)
• Minimum 10 years’ experience in wholesale telecoms, carrier services, ICT commercial management, enterprise connectivity, mobile wholesale, MVNO/MVNE, roaming, interconnect, fixed connectivity or related environments, with demonstrated experience in:
• Wholesale PnL ownership, commercial governance, budgeting, forecasting and performance interventions.
• Pricing, margin management, business case development, bid economics, DCF/NPV analysis and deal approval governance.
• Structuring, negotiating and governing high-value wholesale agreements, service schedules, renewals, rate changes and commercial amendments.
• Driving profitable growth while managing revenue assurance, margin assurance, delivery constraints, regulatory considerations and customer risk.
• Working across Carrier, Mobile and Beyond Mobile technologies and understanding input costs, product economics, delivery dependencies and billing implications.
• 5+ years’ management experience leading commercially focused teams or cross-functional commercial programmes.

Technical Competencies

• Strong wholesale commercial acumen across Mobile, Carrier and Beyond Mobile propositions.
• Deep understanding of wholesale customer models, including MNOs, MVNOs, MVNEs, ISPs, FNOs, content providers, aggregators, enterprise partners and strategic resellers.
• Advanced pricing, margin management, bid modelling, P&L analysis, DCF/NPV assessment and commercial risk evaluation.
• Ability to translate customer strategy, market dynamics and technology capability into profitable wholesale propositions and commercial terms.
• Strong understanding of wholesale contracts, service schedules, billing, revenue assurance, margin assurance, regulatory considerations and governance controls.
• Ability to operate in a complex multinational matrix environment and influence Finance, Technology, Legal, Regulatory, Product, Sales and Delivery stakeholders.
• Strategic thinking with the ability to convert Wholesale strategy into clear priorities, measurable interventions and accountable execution plans.

Behavioural Competencies

• Wholesale Customer Focus: Balances customer competitiveness, service experience, neutrality and long-term partnership value with Vodacom’s financial and compliance requirements.
• Commercial Accountability: Takes ownership of commercial outcomes, margin quality, governance discipline and the integrity of financial recommendations.
• Collaboration: Builds strong cross-functional alignment across Wholesale, Finance, Technology, Legal, Regulatory, Product, Sales and Delivery teams.
• Commercial Resilience: Remains disciplined and solutions-focused in complex negotiations, margin-pressure environments, escalations and high-value deal decisions.
• Influencing and Negotiation: Uses evidence, stakeholder mapping and executive engagement to influence internal decisions and external commercial outcomes.
• People Leadership: Creates clarity, accountability, coaching and performance ownership across a commercially focused team.
• Organisational Savvy: Understands how to navigate Vodacom’s matrix, governance forums and approval pathways to deliver compliant and commercially sound Wholesale outcomes.

Closing date for Applications: 10 July 2026

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Role Purpose/Business Unit:

• The Executive Head VSA Big Data, AI & IA: Lead Data Scientist is the principal technical authority for data science and AI within Vodacom South Africa. The role steers the design, build and scaled deployment of high-impact AI services across the VSA business, aligned to Vodacom’s three strategic AI impact pillars of Customer Experience (CX), Monetization and Productivity, and to our ambition of becoming an AI-native organisation by 2030.
• Operating solely within the Vodacom South Africa Big Data team, the incumbent acts as the lead technical expert and hands-on architect: identifying opportunities to make a commercial difference, leading the development of machine learning and AI initiatives end-to-end, and mentoring a high-performing team of data scientists and AI engineers. The ideal candidate is deeply versed in Customer Value Management (CVM) principles, real-time recommender systems, Generative and Agentic AI, and modern MLOps / LLMOps practice.
• Success in this role requires the ability to build trusted relationships with business stakeholders, translate complex datasets into strategic insight, and deliver business value in close partnership with technology, commercial and analytics teams across VSA.

Your responsibilities will include:

Technical Leadership

• Principal technical expert: act as the lead data scientist for Vodacom South Africa, identifying opportunities to make a commercial difference and leading the development of machine learning and AI initiatives to meet business requirements.
• AI vision and roadmap: set the technical vision, roadmap and delivery priorities for centrally built AI services across the VSA business, aligned to the Group AI strategy, the Vodafone Group GenAI framework and the Tech enablement strategy for AI.
• Insight translation: translate complex datasets into strategic insights, communicating simply to non-technical audiences and visualising results to create understanding and solution buy-in.
• Innovation agenda: identify new analytics and AI trends, evaluating and integrating emerging technologies, including agentic AI, multimodal models and real-time decisioning, to maintain Vodacom’s competitive advantage.
• Thought leadership: serve as a recognised expert in the community, mentoring and advising colleagues on statistical techniques, algorithms, data and responsible AI practice.

AI Services Design, Build & Reusability

• Reusable AI services: architect and deliver scalable, reusable AI services across CX, Monetization and Productivity that can be rapidly adopted and adapted across VSA business domains, reducing time-to-value and maximising impact.
• Real-world ML products: develop machine learning and recommender products that solve real business problems, taking account of user needs, the technology landscape and operational constraints.
• Governance and lifecycle: establish and maintain a unified AI services repository with robust governance, operational frameworks and lifecycle management to ensure compliance, consistency and efficiency.
• Efficiency at scale: drive tangible efficiency gains through scaled deployment of classical ML, GenAI and agentic AI solutions, in line with Vodacom’s Technology framework.
• Domain coverage: champion AI best practice across key VSA domains including CVM, Customer Experience, Network, Channels, Enterprise and Supply Chain, ensuring alignment with strategic AI business cases.

Value Delivery & Commercial Impact

• Commercial targets: work closely with the VSA CVM and commercial teams to deliver against revenue, retention and cost-efficiency targets through data science and AI.
• Delivery cadence: drive delivery through the quarterly PI (Programme Increment) planning cycle, prioritising value-producing projects across the VSA portfolio.
• Data asset prioritisation: support the prioritisation of internal and external data assets and work with technology partners to set key requirements for data sourcing.
• KPIs and measurement: define and track KPIs for AI output such as adoption rates, time-to-value and model efficacy across use-case categories, providing evidence-based insight that drives strategic decisions.

Partnerships, Ecosystem & Innovation

• Hyperscaler partnerships: build and manage strategic relationships with hyperscalers (AWS, Google Cloud, Microsoft Azure, Huawei) to strengthen delivery capability, accelerate prototyping and leverage cloud-native AI tooling.
• Vodafone ecosystem: contribute to and leverage the Vodafone Group AI ecosystem, driving re-use of standardised frameworks and global best-practice sharing.
• Representation: represent Vodacom South Africa in AI forums, industry bodies and partner engagements to build thought leadership and strategic relationships.

People, Culture & Capability Building

• Team leadership: lead, inspire and develop a high-performing team of data scientists, AI engineers, MLOps practitioners and solution architects within the VSA Big Data function.
• Culture of innovation: foster a culture of experimentation and continuous learning, with a focus on responsible and ethical AI development.
• AI literacy: drive AI literacy and capability uplift across the VSA business, enabling broader adoption and embedment of AI in day-to-day operations.
• Mentorship: mentor and develop senior and emerging data scientists, establishing Big Data and ML standards for the VSA team.

The ideal candidate for this role will have:

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, Economics or a related quantitative field (essential).
• Master’s degree in a quantitative field will be advantageous.
• A relevant executive leadership or management certification (e.g. MBA or equivalent) is advantageous.
• A minimum of 10 to 15 years of progressive experience in AI, Data Science or related fields, with at least 5 years in a senior technical leadership role.
• Proven track record of designing and delivering large-scale AI products, platforms or services in a complex, commercial / consumer environment.
• Deep hands-on experience in GenAI, Large Language Models (LLMs), agentic AI and real-time AI decisioning systems.
• Well versed in Customer Value Management principles, real-time recommender systems and MLOps practice.
• Extensive experience building, managing and scaling AI / ML teams across diverse, cross-functional environments.
• Demonstrated success in driving adoption and commercialisation of AI use cases with measurable business impact (revenue uplift, cost savings, CX improvements).
• Experience working with or within hyperscaler ecosystems (AWS, Google Cloud, Microsoft Azure) at an enterprise or strategic-partnership level.
• Familiarity with AI governance, ethics and regulatory compliance frameworks (including POPIA) at scale.

Technical Expertise

• Expert-level proficiency in Python and relevant AI / ML languages; familiarity with R, Scala or Java is advantageous.
• 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 Retrieval-Augmented Generation (RAG) patterns.
• Hands-on MLOps and LLMOps experience covering 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 and structured (SQL) and unstructured data tools (PySpark, NoSQL, streaming frameworks such as Kafka or Flink).
• Familiarity with advanced analytics and visualisation tools such as Tableau, Power BI, Qlik Sense, Apache Superset, Grafana or Plotly.

Leadership & Behavioural Competencies

• Exceptional technical leadership presence with the ability to influence and engage C-suite stakeholders and partners.
• Design and systems thinking in relation to AI and machine learning ecosystems at enterprise scale.
• Entrepreneurial mindset with a bias for action, pace and delivery in ambiguous, fast-changing environments.
• Outstanding communication and storytelling skills, able to present complex technical content to technical and non-technical audiences with impact.
• Ability to test hypotheses from raw datasets, draw meaningful conclusions and communicate results verbally, in writing and through effective visualisation.
• Demonstrated ability to build, motivate and retain high-performing, diverse technical teams.
• Customer-obsessed approach: passionate about leveraging AI to exceed customer expectations and create genuine user value.
• High ethical standards with a commitment to responsible AI development, fairness and transparency.

Closing date for Applications: 13 July 2026

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Role Purpose/Business Unit: 

• The Senior Data Scientist is a hands-on technical specialist within the Vodacom South Africa Big Data team, responsible for owning and delivering machine learning and AI use cases end-to-end, from problem framing and data exploration through to model development, deployment and monitoring. The role works across Vodacom’s three strategic AI impact pillars (Customer Experience, Monetization and Productivity) to build solutions that create real impact for the business and its customers.
• Working under the direction of the Principal Data Scientist, the Senior Data Scientist combines strong applied modelling skill with sound engineering practice, contributing to reusable AI services, mentoring junior data scientists and graduates, and partnering closely with business and technology stakeholders.
• The ideal candidate is well grounded in Customer Value Management (CVM) principles and recommender systems, and is increasingly fluent in Generative and Agentic AI and modern MLOps practice.

Your responsibilities will include:

Model Development & Delivery

• End-to-end use cases: own machine learning and AI use cases end-to-end, including framing the business problem, exploring and preparing data, engineering features, building and validating models, and supporting production deployment.
• Real-world ML products: develop machine learning and recommender solutions that solve real business problems, taking account of user needs, the technology landscape and operational constraints.
• CVM and personalisation: build churn, propensity, uplift and recommendation models that support Customer Value Management, hyper-personalisation and next-best-action across the VSA customer base.
• GenAI and agentic solutions: contribute to the design and build of Generative AI and agentic solutions, including LLM-based and RAG patterns, where they add measurable business value.
• Experimentation: design and run robust experiments and A/B tests, drawing meaningful conclusions from raw datasets and quantifying the impact of deployed models.

Engineering, MLOps & Quality

• Production-grade code: write clean, well-documented, reproducible code and implement data transformations and algorithms in Python and SQL.
• MLOps practice: apply MLOps practices such as version control, CI/CD, model monitoring and drift detection to ensure models are reliable, maintainable and observable in production.
• Reusable assets: contribute to the team’s shared AI services repository, building reusable components, pipelines and features that reduce time-to-value for future use cases.
• Governance and compliance: ensure all solutions adhere to data governance, responsible-AI and POPIA requirements, including privacy-by-design and appropriate model documentation.

Insight, Communication & Stakeholder Partnering

• Insight translation: translate complex datasets into clear, actionable insight, communicating simply to non-technical audiences and visualising results to build understanding and buy-in.
• Stakeholder collaboration: partner with business, CVM, marketing and technology teams to understand requirements and translate business issues into analytics solutions.
• Delivery cadence: deliver against the quarterly PI (Programme Increment) planning cycle, managing priorities and dependencies to ship value-producing work reliably.
• Visualisation: produce dashboards and visualisations using tools such as Qlik Sense, Power BI or Tableau to surface model outputs and business impact.

Collaboration & Capability Building

• Mentorship: mentor and support junior data scientists and graduates, sharing knowledge on statistical techniques, algorithms, coding standards and ways of working.
• Community of practice: contribute to the team’s standards, code reviews and community of practice, helping raise the overall quality bar.
• Continuous learning: stay current with emerging tools, techniques and AI trends, bringing new ideas and approaches into the team.

The ideal candidate for this role will have:

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics or a related quantitative field (essential).
• Honours or Master’s degree in a quantitative field will be advantageous.
• A minimum of 5 to 8 years of practical, hands-on experience in data science, machine learning or a closely related field.
• Demonstrated track record of building and deploying machine learning models that delivered measurable business impact in a commercial / consumer environment.
• Solid grounding in Customer Value Management principles, recommender systems and MLOps practice.
• Practical exposure to Generative AI, Large Language Models (LLMs) and / or agentic AI is highly advantageous.
• Experience working with large volumes of structured and unstructured data.
• Experience mentoring or guiding more junior team members is advantageous.
• Experience working in cloud environments (AWS, GCP and / or Azure) is advantageous.

Technical Skills

• Strong proficiency in Python and its data science and ML stack (e.g. pandas, NumPy, scikit-learn, SciPy, NLTK).
• Hands-on experience with deep learning and gradient-boosting frameworks such as PyTorch, TensorFlow, XGBoost or H2O.
• Strong SQL skills and the ability to work with large-scale data using tools such as PySpark, NoSQL and streaming frameworks (Kafka, Flink).
• Working knowledge of MLOps tooling such as MLflow, Kubeflow or SageMaker, and version control with Git.
• Familiarity with containerisation (Docker) and an awareness of orchestration (Kubernetes).
• Exposure to LLM patterns such as prompt engineering and Retrieval-Augmented Generation (RAG) is advantageous.
• Proficiency with visualisation tools such as Qlik Sense, Tableau, Power BI or Plotly.
• Familiarity with cloud-native data and AI services (e.g. AWS SageMaker, Glue, Athena; GCP; or Azure ML) is advantageous.

Key Competencies

• Significant experience in machine learning and the deployment of models and algorithms from large volumes of structured and / or unstructured data.
• Ability to test hypotheses from raw datasets, draw meaningful conclusions and communicate results verbally, in writing and through effective visualisation.
• Strong problem-solving skills and a delivery mindset, with the ability to manage priorities and ship reliably.
• Ability to work across cross-functional teams to translate business issues into analytics solutions.
• Strong communication skills, including prior experience presenting analytics results to senior stakeholders.
• A collaborative, customer-obsessed approach with a commitment to responsible and ethical AI.
• Curiosity and a commitment to continuous learning in a fast-changing AI landscape.

We make an impact by offering:

• Enticing incentive programs and competitive benefit packages
• Retirement funds, risk benefits, and medical aid benefits
• Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies

Closing date for Applications: 13 July  2026.  

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Role purpose:

• To conduct deep analysis on product performance across all relevant internal metrics for revenue and sales volumes. This includes analysis of macro-economic factors and competitor products.
• To provide feedback, insights, and recommendations on pricing and regional specific deals to the relevant teams in the centre, for the improvement in sales and revenue performance.

Your responsibilities will include:

• Deep analysis of sales and revenue performance at a customer segment, product, channel, and geographic level.
• Feedback and recommend demand strategies based on product pricing and channel dynamics.
• Support branded and unbranded channels with insights and recommendations on product and channel performance.
• Regional SPOC for CVM, products and services, insights and big data teams based in Head Office.
• Continuous monitoring of competitor products and services.
• Presentation of analysis and recommendations to various stakeholders.
• Drive the local implementation of the CARE and Customer Experience Excellence strategy developed by COPS into the region and counties.
• Work with Channel Managers and Branded/Unbranded Specialists in implementing CXX strategy and executing in-store elements. 
• Provide ongoing feedback to COPS for continuous improvements on CXX journey.
• Analyse regional customer base in conjunction with Head Office CVM team to provide insight and recommendations on trends or behaviour of base.
• Customer appreciation trackers, (e.g. tNPS, rNPS, BMS, MAPS) to derive Customer insights and Customer Strategy for input on CX, Product and CVM growth objectives.

The ideal candidate for this role will have:

• Matric / Grade 12
• 3 year Commercial/Data Analytics/marketing/sales diploma or degree (NQF 6 or higher) or SAQA accredited equivalent (essential) with
• 3-5 years relevant experience (essential)
• Valid Driver’s licence (essential)
• Knowledge of products (advantageous)

Core competencies, knowledge and experience:

• Product pricing analysis
• Planning and organising
• Performance analysis and reporting
• Big data analytics
• Ability to work with complex information and data
• Ability to build strong relationships and credibility with multiple stakeholders

We make an impact by offering:

• Enticing incentive programs and competitive benefit packages
• Retirement funds, risk benefits, and medical aid benefits
• Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies

Closing date for Applications: 13 July  2026.  

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Role Purpose/Business Unit:

• To lead paid digital media strategy and planning that supports Vodacom’s ambition to connect people for a better future by delivering customer-led, commercially focused and digitally enabled marketing outcomes.
• As Vodacom continues to grow beyond traditional connectivity into digital services, financial services, fibre, content, enterprise solutions and broader customer ecosystems, this role is responsible for developing paid digital media strategies that drive measurable business impact across brand, acquisition, engagement, conversion and customer value.
• The role will provide strategic direction for paid digital media planning across Vodacom’s key business areas, working closely with Brand, Consumer Insights, Product, Digital Channels, Vodacom Financial Services, Fibre, Vodacom Business and above-the-line media teams to ensure campaigns are connected, insight-led and commercially accountable.
• A key focus of the role is to translate business objectives into clear media strategies, channel plans, audience approaches, budget recommendations and performance forecasts that support both brand growth and commercial outcomes. This includes driving customer engagement across relevant digital platforms, accelerating adoption of digital sales and self-service channels, improving the customer journey, and supporting revenue growth through effective digital media investment.
• The role plays an important part in strengthening Vodacom’s digital marketing capability by ensuring that media plans are data-led, integrated with broader campaign activity, aligned to customer behaviour, and continuously optimised to improve performance, efficiency and return on investment.

Your responsibilities will include:

• Own paid digital media strategy and planning, while working closely with above-the-line planners to ensure the role traditional and digital performance media are clearly connected across the funnel. These must translate into business and brand objectives with sharp channel strategies, audience plans, budget allocations, media phasing, KPI frameworks and optimisation roadmaps.
• Build commercially grounded forecasts that connect media investment to business outcomes, including reach, traffic, leads, orders, sales, revenue contribution, cost per acquisition and return on investment.
• Lead complex planning and performance problem-solving independently, using platform data, research, benchmarks, customer insights and media-mix learnings to identify risks, opportunities and corrective actions.
• Prepare and present clear strategic recommendations, performance narratives and investment rationale to senior stakeholders, agencies, business units and cross-functional partners.
• Partner with creative, media, brand, segment, product, analytics and agency teams to ensure campaigns are planned, launched, measured and optimised with strong governance and accountability whilst driving innovation and test-and-learn opportunities across digital systems, data, audiences, creative formats, measurement, automation and AI-supported planning workflows.

The ideal candidate for this role will have:

• 3-year Business related Degree or National Diploma
• Minimum of 5 to 8 years relevant experience essential
• Must be comfortable working independently, making decisions, escalating risks appropriately and solving complex media or performance challenges.
• Must be confident working with numbers, budget scenarios, campaign forecasts, performance reports and commercial outcomes.
• Must be able to conduct research, analyse category and competitor activity, identify audience opportunities and turn findings into practical media strategies.
• Must be able to present confidently to senior stakeholders and defend recommendations with clear logic, data and business rationale.
• Must have a strong understanding of campaign governance, implementation dependencies, measurement requirements and cross-channel optimisation.

We make an impact by offering:

• Enticing incentive programs and competitive benefit packages
• Retirement funds, risk benefits, and medical aid benefits
• Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies

Closing date for Applications: 13 July 2026