Trending Jobs at MTN

Responsibilities

Mission/ Core Purpose of the Job:

• The Trainee will be responsible to assist with and provide an end-to-end administrative, coordination support service to the assigned function at Bayobab.

Key Performance Areas:

Key Deliverables:

• The graduate will be accountable to achieve the following objectives:
• Provide input in strategic meetings as required
• Provide input to enterprise wide transformation initiatives when required
• Facilitate ad hoc meetings with relevant stakeholders as and when required
• Escalate issues that will result in severe time, scope, productivity and cost or resource impact
• Provide input into all projects initiated (internal or global)
• Prepare documentation required for sign-off/ decision making regarding tactical changes
• Support in execution and alignment with the functional strategy
• Report on an ad hoc basis on specific projects as required
• Type reports according to required formats
• Provide status / progress reports as required
• Provide input to ensure adequate risk mitigation and controls
• Report on a periodic basis to line manager: relating to progress made within the sub-function and in accordance with the performance metrics set by the organisation
• Drive improvement across the business to achieve the optimal service quality deliverables
• Research of content for presentations, creation and editing of presentations, presentation layout and quality assurance in alignment with MTNs corporate communication standards
• Assist in the collation of information for reporting on various performance metrics internally to Senior Management as well as cross functional teams and externally to vendors; following up with the relevant parties to ensure information provided on time as required
• Assisting in curation of content in knowledge bases, understanding of the content, assisting staff (Group and Opco) in finding documents and knowledge, ability to answer frequently asked questions
• Interface with OpCo contacts in support of large or strategic opportunities when required
• Assist in producing documentation of service: annexes to contracts, training documentation and business presentations
• Assist in defining and updating governance policies/ strategies as required
• Possess the authority; presence and integrity to command respect from colleagues and from external associates
• Assist with all coordination and admin tasks as required by the department
• Planning and organizing as required

Quality Standard

• Adherence to set timelines and budget requirements
• Adherence to defined policies, processes and procedures
• SLA terms and conditions
• Timeliness and accurate of reports and assessments
• MTN Values: leadership, innovation, can do, relationships, integrity

Operational Delivery:

• (all activities as defined by sub-function)

Job Requirements:

Education

• A relevant 3- or 4-year formal degree or 3- or 4-year diploma

Experience:

• 0 – 2 years' work experience

Competencies:

• All work is done according to practical, clearly structured work procedures
• Dissemination of information
• Resolution of queries / problems (within parameters set by company policy)
• Make judgement calls to ensure front-line service delivery, quality and excellence
• Prioritisation of work
• Time management of work volume
• Identifying the correct procedure to be implemented
• Strong administrative skills
• Excellent verbal and written communication skills
• Proficiency in MS Office Suite (PowerPoint, Excel and Word)
• Information Processing
• Interpersonal skills
• Negotiation skills
• Presentation skills
• Good EQ
• Action oriented
• Deadline driven
• Accurate
• Responsive
• Flexible
• Agile
• Culturally aware

Other:

• Driver's licence and own transport
• Ability to work in cross functional, matrix management type organizations
• Ability to travel locally and internationally for the purposes of work

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Responsibilities

Monetisation Financial Modelling & Pricing Analytics

• Build and maintain dynamic financial models supporting data products, service bundles, and API monetisation.
• Define pricing and usage-based revenue scenarios for new DataCo offerings.
• Provide supports to senior leadership on investment decisions, funding and commercial strategy
• Support Partner & Commercial teams to assess revenue-sharing constructs and profitability models.

Budgeting, Forecasting & Cost Governance

• Manage bottom-up budgets aligned to product roadmaps and commercial milestones.
• Deliver rolling forecasts with scenario analysis for product launches or opportunity shifts.
• Monitor cost v actuals; recommend re-allocations to unlock high-impact initiatives.

Performance Tracking & Financial Insights

• Create dashboards to track KPIs such as ARR, CAC, contribution margins, payback periods.
• Use analytics to surface usage trends, unit economics, and outlier business signals.
• Conduct variance analysis and quarterly reviews to drive commercial optimisation.

Investment Evaluation & ROI Frameworks

• Lead financial due diligence for proof-of-value pilots and partnership deals.
• Leverage established valuation methodologies to assess business cases and investment opportunities.
• Define clear, measurable performance indicators and standardized data sources to evaluate the ongoing success and impact of financial decisions
• Support OpCo and Group leaders with investment proposals, ROI projections, and break-even analysis.
• Apply finance-driven governance—aiding funding gating, milestone alignment, and go/no-go decisions.

Controls, Compliance & Data Trust

• Implement internal controls to support billing, partner reconciliation, and contract compliance.
• Continuously monitor and provide proactive guidance on business risk assessment and mitigation strategies, in close collaboration with Group Risk & Compliance and Group Legal & Regulatory teams.
• Ensure finance supports operational readiness—e.g., invoicing, revenue recognition, tax, and auditability.
• Coordinate with Group Finance & Audit to align DataCo financial protocols with decentralised operating models.
• Ensure adherence to Group governance protocols and policies, including committee approval processes, the decision-making framework (DMF) and standardized operational procedures.

Business Partnering & Cross-Functional Enablement

• Act as embedded Finance partner to product, commercial, and ops leads—supporting sprint-level decision-making.
• Provide coaching and financial literacy support to non-finance stakeholders.
• Advise on resource leverage, funding pipeline, and revenue integration into broader Group financial plans

Qualifications

Education:

• 4 year Bachelor’s degree in finance
• Chartered Accountant; certifications in Financial Analytics or FP&A beneficial
• Advantageous financial modelling tools, BI platforms or data analytics tools.
• Advantageous Master’s degree (MBA) or similar postgraduate qualifications

Experience:

• 5 - 8 years in corporate finance, budgeting, or commercial finance roles, preferably in digital, platform, or data-led business settings and management experience.

Core Competencies:

• Strategic Financial Planning: Develops models, pricing, and ROI pathways for new data products.
• Data-Informed Decision-Making: Uses analytics to influence go-to-market, funding, and scaling decisions.
• Adaptive Controls & Governance: Ensures finance agility while meeting Group standards.
• Commercial Acumen: Understands the economics of subscription, usage, and partner-based monetisation.
• Stakeholder Influence: Coaches non-finance stakeholders to apply financial discipline.
• Insightful Reporting: Presents clear, actionable financial insights to senior teams.
• Financial Lifecycle Ownership: Leads end-to-end finance capabilities—from budgeting through forecasting and insight

Apply Before 12/31/2025

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Responsibilities

BI Reporting & Insights Delivery

• Design, build, and maintain dashboards, automated reporting pipelines, and analytics assets that deliver decision-ready insights.
• Translate business/product requirements into reporting specifications and analytical outputs.
• Ensure accuracy, consistency, and timeliness of all BI reporting deliverables across Group and OpCo domains.

KPI Frameworks & Standardisation

• Develop and maintain standardised KPI definitions, metadata, and measurement methodologies.
• Ensure alignment with Group governance forums, DataCo standards, and product KPIs.
• Lead the consolidation and harmonisation of multi-market reporting approaches.

Data Quality, Governance & Compliance

• Ensure data integrity, lineage documentation, and compliance with MTN privacy, security, and data governance requirements.
• Embed validation, QA, and reliability checks within reporting pipelines.
• Support Responsible AI and ethical data usage principles in reporting.

Stakeholder Engagement & Support

• Collaborate with Product Owners, Data Engineering, Data Science, OpCo BI teams, and business units to meet reporting needs.
• Provide analytical insight and advisory support for senior stakeholders, including OpCo leadership.
• Engage external consulting or data monetisation clients where BI insights are required as part of product engagements.

Agile Delivery & Continuous Improvement

• Operate as part of DataCo product squads, contributing to sprint planning, backlog refinement, and delivery.
• Drive automation, operational efficiency, and optimisation of existing dashboards and datasets.
• Adopt best practices in data visualisation, analytical storytelling, and user-centric reporting..

Enablement & Documentation

• Create user guides, reporting documentation, data dictionaries, and training assets.
• Support OpCo teams during onboarding, adoption, and troubleshooting of dashboards or reports.
• Contribute to DataCo knowledge repositories and enablement portals.

Key Deliverables

Internal Deliverables

• Automated dashboards and reporting packs aligned to product KPIs.
• Standardised KPI catalogues, data dictionaries, metric definitions.
• Data quality assessment reports and improvement plans.
• Stakeholder insights presentations and analytical narratives.
• Documentation for dashboards, processes, and data lineage.

External Deliverables

• Reporting components for consulting engagements.
• Insights and dashboards for data monetisation use cases.
• Client-facing reporting templates and KPI frameworks (where applicable)

Qualifications

Education

• Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, or related field.
• Postgraduate qualification advantageous.
• Certifications in BI tools (Power BI, Tableau, Qlik), SQL, or cloud data platforms preferred.

Experience

• 3–5 years’ experience in Business Intelligence, reporting, data analytics, or related roles.
• Experience working in large data environments (cloud platforms, data lakes, enterprise datasets).
• Telecommunications, digital services, or multi-market experience advantageous.
• Experience collaborating with product management, engineering, and business stakeholders.

Competencies

• Problem Solving: Analytical thinker with ability to synthesise insights.
• Technical Acumen: Comfortable working with data models, APIs, and enterprise datasets.
• Stakeholder Influence: Ability to engage cross-functional teams and senior stakeholders.
• Operational Excellence: Focused on reliability, accuracy, and automation.
• Agile Mindset: Practises iterative delivery and continuous improvement.
• Storytelling with Data: Clear communication of insights to non-technical audiences.

Key Deliverables:

• Automated dashboards and reporting packs aligned to product KPIs.
• Standardised KPI catalogues, data dictionaries, metric definitions.
• Data quality assessment reports and improvement plans.
• Stakeholder insights presentations and analytical narratives.
• Documentation for dashboards, processes, and data lineag
• Reporting components for consulting engagements.
• Insights and dashboards for data monetisation use cases.
• Client-facing reporting templates and KPI frameworks (where applicable)

Skills

• Strong proficiency in BI tooling (Power BI/Tableau), SQL, data modelling.
• Understanding of data engineering pipelines and cloud data environments.
• Familiarity with AI/ML concepts and analytics productisation beneficial.
• Data governance, metadata, and KPI standardisation experience.

Apply Before 12/31/2025

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Responsibilities

Strategic Marketing Leadership

• Develop and implement DataCo’s global marketing strategy aligned with MTN’s data monetisation mandate.
• Translate complex technical capabilities into compelling, client-centric narratives for telcos, regulators, fintechs, enterprises, and platform companies.
• Conduct competitive analysis and market intelligence to anticipate trends and maintain strategic advantage.

Campaign Development & Demand Generation

• Design multi-channel campaigns showcasing how DataCo enables predictive analytics, efficiency, and new revenue models.
• Create sector-specific marketing playbooks to accelerate adoption across telecom, enterprise, fintech, and public sectors.
• Drive adoption and expansion by designing campaigns tailored for telcos, regulators, platform companies, and enterprise customers.

Brand & Thought Leadership

• Build and protect DataCo’s brand identity across digital, media, and industry ecosystems.
• Produce white papers, case studies, and executive communications that establish DataCo as an industry authority.
• Represent MTN at global forums, strengthening its influence in Africa’s digital economy.

Operational Excellence & Governance

• Partner with Sales, Product, Customer Success, and Group Marketing to align campaigns with commercial outcomes.
• Build trusted relationships with regulators, clients, industry associations, and media agencies.
• Lead trust-building campaigns highlighting governance, compliance, and responsible monetisation.

Marketing Analytics & Performance Optimisation

• Design and implement marketing analytics infrastructure (dashboards, measurement models, campaign reporting).
• Establish and track KPIs: brand equity, campaign ROI, adoption rates, and revenue impact.
• Drive continuous improvement through post-campaign analysis, in-flight optimisation, and predictive modelling.
• Standardise reporting practices across MTN OpCos, ensuring consistency and comparability.

Customer Advocacy & Ecosystem Development

• Build and maintain a regional ecosystem of advocates, partners, and enterprise clients who amplify the DataCo value proposition.
• Lead co-marketing initiatives with hyperscalers, analytics vendors, and strategic partners to extend market influence.
• Establish advocacy programmes, awards, and industry recognition that position MTN as a trusted authority in responsible data use.

Internal Alignment & Enablement

• Develop internal marketing enablement playbooks and toolkits for Product, Engineering, and Sales teams.
• Ensure consistent messaging and brand alignment across OpCos and functional areas.
• Drive internal adoption of DataCo narratives through workshops, executive briefings, and knowledge-sharing sessions.

AI-Enabled Marketing & Automation

• Deploy marketing automation and predictive analytics platforms to enhance lead scoring, campaign personalisation, and ROI tracking.
• Integrate data-driven insights to continuously optimise campaign performance.
• Use AI-powered sentiment and brand monitoring to inform strategic messaging.

Stakeholder Trust & Policy Communications

• Develop communications that strengthen DataCo’s reputation for transparency, privacy, and regulatory compliance.
• Coordinate with Legal, Governance, and Regulatory Affairs to proactively manage public and policy engagement.
• Lead campaigns that promote MTN’s leadership in ethical and responsible data monetisation.

Qualifications

Education

• 4 year degree in Marketing, Business Administration, Data/Technology Management, or Digital Transformation
• Master’s degree in Marketing, Business, or Data/Technology Management (MBA preferred).
• Certifications in digital marketing, analytics, or data strategy advantageous.

Experience

• 5 - 8 years senior-level B2B marketing experience in telco, data, or technology sectors.
• Proven record in marketing leadership driving adoption, brand equity, and revenue growth
• Strong knowledge of geospatial intelligence, AI ecosystems, and data monetisation trends
• Experience influencing CxOs, regulators, and industry leaders in complex, regulated environments.
• Proven experience marketing data, AI, or SaaS platforms across regulated industries.
• Demonstrated ability to engage regulators, C-suite clients, and media on complex data and privacy topics.
• Working knowledge of data governance frameworks (POPIA, GDPR) and cloud ecosystems (GCP, Azure, AWS).

Apply Before 12/31/2025

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Responsibilities

• The General Manager: IT Delivery & Solution Architect (DataCo) will be accountable to achieve the following objectives:

Strategic Leadership

• Establish and execute a technology roadmap aligned with DataCo’s monetisation strategy and product portfolio.
• Drive integration with Group Technology, ensuring alignment of infrastructure standards, security frameworks, and DevOps practices.
• Foster agile delivery practices, continuous integration/continuous deployment (CI/CD), and modern DevOps culture across squads.

Solution Architecture

• Design, deliver, and maintain scalable architectures to support high-volume telco data processing and external data products.
• Provide technology input into commercial and product engagements, ensuring feasibility, scalability, and alignment to client SLAs.
• Collaborate with product and business teams to define, estimate, and deliver technical capabilities for DataCo’s external offerings.

Delivery Management

• Lead and manage DataCo’s IT Delivery Squads responsible for cloud infrastructure, APIs, data pipelines, geospatial data processing, and analytics platform delivery.
• Oversee software development lifecycle (SDLC) for all data monetisation platforms and ensure timely, high-quality delivery.
• Implement and monitor cloud cost optimisation (FinOps), performance engineering, and infrastructure resilience initiatives.
• Measure and report on delivery velocity, system uptime, and client delivery KPIs to the Executive: DataCo.

Team Management and Development

• Mentor and develop Solution Architects, IT Delivery Managers, and Engineering Leads to enhance delivery maturity.

Governance and Compliance

• Ensure robust data governance, API security, and regulatory compliance in collaboration with Legal, Privacy, and InfoSec teams.

Key Deliverables

• Platform uptime > 99.5% across DataCo environments
• On-time delivery of monetisation platform releases and product enhancements
• Cloud cost efficiency (FinOps) targets achieved within 10% variance
• Data pipeline latency maintained within defined SLAs for ADR generation and analytics delivery
• High availability of APIs powering external clients and OpCos
• Reduction in time-to-market for new DataCo data products

Qualifications

Education:

• Minimum 4-year Academic Degree in Computer Science, Engineering, Information Systems, or a related technical field
• MBA or Master’s in Technology Management advantageous
• Relevant certifications in Cloud Architecture (Azure/AWS/GCP), Agile Delivery, and Solution Architecture preferred

Experience:

• Minimum 10 years’ experience in IT delivery, data engineering, or solution architecture roles
• At least 5 years in senior management and direct, hands-on delivery of highly scalable, secure by design/default/deployment, resilient, and high-availability, high performance, large-scale data platform and analytics environments, using ultra-modern design technologies and methods. Proven experience managing multi-disciplinary engineering teams (cloud, data, DevOps, architecture)
• Strong background in telco, analytics, or cloud-based product delivery environments

Competencies:

• Strategic Thinking and Execution
• Solution Architecture and Systems Integration
• Cloud Infrastructure and FinOps Management
• Agile Delivery Leadership
• API and Data Platform Design
• Stakeholder Influence and Vendor Management
• Problem Solving, Innovation, and Continuous Improvement
• Commercial and Technical Acumen

Responsibilities

The General Manager: IT Delivery & Solution Architect (DataCo) will be accountable to achieve the following objectives:

Strategic Leadership

• Establish and execute a technology roadmap aligned with DataCo’s monetisation strategy and product portfolio.
• Drive integration with Group Technology, ensuring alignment of infrastructure standards, security frameworks, and DevOps practices.
• Foster agile delivery practices, continuous integration/continuous deployment (CI/CD), and modern DevOps culture across squads.

Solution Architecture

• Design, deliver, and maintain scalable architectures to support high-volume telco data processing and external data products.
• Provide technology input into commercial and product engagements, ensuring feasibility, scalability, and alignment to client SLAs.
• Collaborate with product and business teams to define, estimate, and deliver technical capabilities for DataCo’s external offerings.

Delivery Management

• Lead and manage DataCo’s IT Delivery Squads responsible for cloud infrastructure, APIs, data pipelines, geospatial data processing, and analytics platform delivery.
• Oversee software development lifecycle (SDLC) for all data monetisation platforms and ensure timely, high-quality delivery.
• Implement and monitor cloud cost optimisation (FinOps), performance engineering, and infrastructure resilience initiatives.
• Measure and report on delivery velocity, system uptime, and client delivery KPIs to the Executive: DataCo.

Team Management and Development

• Mentor and develop Solution Architects, IT Delivery Managers, and Engineering Leads to enhance delivery maturity.

Governance and Compliance

• Ensure robust data governance, API security, and regulatory compliance in collaboration with Legal, Privacy, and InfoSec teams.

Key Deliverables

• Platform uptime > 99.5% across DataCo environments
• On-time delivery of monetisation platform releases and product enhancements
• Cloud cost efficiency (FinOps) targets achieved within 10% variance
• Data pipeline latency maintained within defined SLAs for ADR generation and analytics delivery
• High availability of APIs powering external clients and OpCos
• Reduction in time-to-market for new DataCo data products

Qualifications

Education:

• Minimum 4-year Academic Degree in Computer Science, Engineering, Information Systems, or a related technical field
• MBA or Master’s in Technology Management advantageous
• Relevant certifications in Cloud Architecture (Azure/AWS/GCP), Agile Delivery, and Solution Architecture preferred

Experience:

• Minimum 10 years’ experience in IT delivery, data engineering, or solution architecture roles
• At least 5 years in senior management and direct, hands-on delivery of highly scalable, secure by design/default/deployment, resilient, and high-availability, high performance, large-scale data platform and analytics environments, using ultra-modern design technologies and methods. Proven experience managing multi-disciplinary engineering teams (cloud, data, DevOps, architecture)
• Strong background in telco, analytics, or cloud-based product delivery environments

Competencies:

• Strategic Thinking and Execution
• Solution Architecture and Systems Integration
• Cloud Infrastructure and FinOps Management
• Agile Delivery Leadership
• API and Data Platform Design
• Stakeholder Influence and Vendor Management
• Problem Solving, Innovation, and Continuous Improvement
• Commercial and Technical Acumen

Apply Before 12/31/2025

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Responsibilities

Strategic Customer Success Leadership

• Define and execute a Customer Success strategy aligned with MTN’s external data monetisation mandate and also that maximises adoption and commercial outcomes from DataCo’s geospatial and behavioral analytics products.
• Partner with executive leadership to embed customer-centricity into MTN’s commercial growth model and align client engagement models with MTN’s broader organisational mandate of capturing external data monetisation opportunities.
• Act as advisor to client CxOs, influencing digital transformation, AI adoption, on embedding data products into their digital, AI, and growth strategies.
• Position MTN as a trusted leader in Africa’s data economy through thought leadership, partnerships, and advocacy.

Onboarding & Adoption

• Design and oversee world-class onboarding frameworks that accelerate time-to-value for clients adopting DataCo solutions and ensure early ROI.
• Lead change management efforts to guide clients from siloed operations into integrated, AI-ready environments.
• Build tailored adoption roadmaps with clear ROI milestones to ensure product stickiness and client satisfaction.

Expansion & Monetisation

• Drive expansion opportunities (cross-sell, upsell, co-innovation) across geospatial, behavioural, and consulting portfolios.
• Collaborate with Product, Commercialisation, and Sales teams to link client success to commercial revenue outcomes.
• Enable external telcos and platform companies to responsibly monetise their own data assets.
• Industry Context, must be able to contextualise the data within the customer’s sector to tailor use cases per industry.

Client Advocacy & Industry Engagement

• Act as the voice of the customer within DataCo, ensuring client needs inform product development, roadmaps, and ecosystem partnerships.
• Lead Executive Steering Committees with strategic accounts, demonstrating measurable business impact and future potential.
• Champion thought leadership on geospatial and AI-driven analytics in industry forums to position MTN as a market leader.
• Actively identifies where MTN’s internal data assets can be leveraged to solve customer problems. Demonstrates the ability to connect customer pain points with available datasets eg. such as mobility, transaction, or activity data, and collaborates with Product and Technology teams to design implementable, value-creating solutions.

Operational Excellence & Governance

• Establish KPIs, frameworks, and dashboards to track adoption, retention, ROI, and revenue impact and growth from customer engagements.
• Ensure compliance with data governance, privacy, and regulatory frameworks, embedding trust as a cornerstone of DataCo’s client engagements.
• Drive operational discipline with a scalable engagement model for multi-market success.
• Build, mentor, and inspire a high-performing Customer Success team capable of managing strategic accounts across multiple geographies.

Customer Value Realisation & ROI Management

• Establish structured success plans linking adoption metrics to measurable commercial and operational ROI.
• Track business impact through quantifiable KPIs such as cost optimisation, customer retention uplift, or revenue expansion.
• Develop joint success frameworks with clients to validate and communicate value delivered through DataCo solutions.
• Demonstrates deep understanding of the products’ purpose and features, translating technical capabilities into clear customer outcomes.
• Guide clients in realising the full value of each product and to inform product-market fit insights internally.
• Advises customers on pricing structures and scaling paths that maximize both ROI and product adoption.
• Understand how pricing logic (modular pricing or bundled products) can improve cost efficiency eg. such as adding a new module that reduces a client’s blended cost while increasing measurable outcomes like churn reduction or customer acquisition.
• AI & Data Adoption Acceleration
• Partner with client technical teams to operationalise AI-ready data environments and predictive analytics use cases.
• Lead customer enablement programmes focused on data literacy, governance, and responsible AI deployment.
• Facilitate co-innovation sessions that convert proof-of-value (PoV) outcomes into production-ready deployments.
• Customer Health & Predictive Retention
• Implement advanced health-scoring models to identify risk, adoption patterns, and churn indicators early.
• Use data-driven insights to proactively engage clients, improving satisfaction and lifetime value.
• Institutionalise quarterly success reviews with executive stakeholders.
• Partner Co-Innovation & Ecosystem Engagement
• Drive joint innovation with hyperscalers, fintechs, and public-sector agencies aligned to MTN’s data-for-good initiatives.
• Build playbooks for co-branded solutions showcasing measurable impact.
• Strengthen participation in cross-industry data alliances and regional innovation hubs.

Operational Scalability & Excellence

• Standardise onboarding and engagement processes across OpCos for multi-market efficiency.
• Introduce digital success platforms and automation tools to manage client lifecycle at scale.
• Embed feedback loops from Customer Success into Product, Engineering, and Monetisation teams.
• Collectively establish Proof of Concept (POC) criteria with sales and product and align the customer’s success definition with what can be realistically achieved.

Qualifications

Education

• 4 year degree in Business Administration, Data/Technology Management, or Digital Transformation
• MBA preferred
• Additional certifications in AI, Data Commercialization, Customer Success Leadership, or Innovation Management advantageous.

Experience

• 5 - 8 years in Customer Success, Enterprise Account Management, or Strategy Consulting in data, SaaS, telco, or technology sectors.
• Proven track record of leading customer success strategies that delivered adoption, retention, ROI, and commercial growth at scale.
• Demonstrated ability to engage with senior stakeholders (Board/CxO level) and influence complex decision-making.
• Deep expertise in data monetisation, geospatial analytics, AI ecosystems, and digital transformation.
• Strong background in leading teams across multiple markets and cultural contexts.
• Proven experience leading enterprise Customer Success functions for data, AI, or SaaS solutions across multiple markets.
• Familiarity with data governance frameworks (POPIA, GDPR) and ethical AI practices in client engagements.
• Hands-on exposure to data platforms, APIs, cloud ecosystems (GCP, Azure, AWS), and analytics tools.
• Experience driving revenue expansion through success-led growth models (upsell, cross-sell, renewal).

Competencies

• Strategic Influence: Shapes board-level agendas and aligns client outcomes with MTN’s growth mandate.
• Commercial Acumen: Translates adoption and engagement into measurable commercial growth.
• Innovation Leadership: Champions AI-ready ecosystems, open data marketplaces, and customer-led growth models.
• Execution Excellence: Delivers onboarding, adoption, retention, and monetisation consistently across regions.
• Customer Advocacy: Embeds long-term client value creation while maintaining trust and compliance.
• Transformational Leadership: Inspires and scales high-performing teams across diverse markets
• Value-Engineering: Quantifies and communicates client ROI through data-driven business cases.
• Customer Insight Analytics: Uses adoption data and predictive metrics to inform engagement strategy.
• Change Leadership: Leads client transformation programmes integrating data, AI, and process modernisation.
• Relationship Governance: Balances advocacy with accountability, ensuring compliance and trust.
• Ecosystem Orchestration: Connects clients, partners, and MTN internal teams into cohesive success ecosystems.
• Practical Technical Understanding: Provides first-line technical guidance and knows how to distinguish against a client issue vs. platform issue.

Apply Before 12/31/2025

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Responsibilities

AI Model Productionisation & Deployment

• Oversee the industrialisation of AI models, ensuring enterprise readiness, performance optimisation, and regulatory compliance.
• Establish robust MLOps frameworks that support versioning, monitoring, drift detection, and automated retraining across diverse market contexts.
• Translate raw network and customer data into ADR structures optimised for analytics APIs, visualisation layers, and external data services.
• Optimise storage tiering (hot vs cold vs archival), processing costs, and compute scheduling for high-volume workloads.

Enterprise Data & AI Infrastructure

• Lead the design and governance of a multi-OpCo, multi-cloud AI and data estate that supports real-time, high-volume telco, geospatial, and behavioural data streams.
• Ensure infrastructure is optimised for scalability, cross-market interoperability, and commercialisation.
• Develop production-grade, reusable pipelines (batch + streaming) for CDRs, DPI, location, financial, and digital channels.
• Architect and operationalise cloud-native (GCP / Azure / on-prem hybrid) data platforms supporting ingestion, transformation, and ADR creation.
• Drive automation, metadata cataloguing, and data quality frameworks leveraging tools like Databricks, Airflow, BigQuery, and Terraform.

Scalability & Reliability Leadership

• Anticipate and solve complex performance bottlenecks in high-throughput AI workloads.
• Champion cost optimisation, resilience engineering, and observability practices to guarantee uptime and trusted AI delivery.
• Lead a team of data engineers, guiding design reviews, CI/CD standards, and alignment with Data Science, Privacy, and Legal teams.
• Cross-Functional Orchestration
• Partner with Group CIOs, Data Science, Product, Networks, and Commercial leadership to align AI engineering outputs with business-critical use cases and monetisation pathways.
• Act as a trusted advisor to OpCos, ensuring rapid adoption of production-ready AI capabilities.
• Integrate IAM, KMS, VPC Service Controls, and data lineage logging to meet POPIA / GDPR / ISO 27001 standards.
• Innovation & Thought Leadership
• Drive continuous innovation in geospatial AI, telco intelligence, and federated learning frameworks to maintain MTN’s competitive edge.
• Position MTN DataCo as a leading AI engineering hub, setting benchmarks for responsible, explainable, and ethical AI adoption.

Key Deliverables

• Production-grade, monitored, and retrainable AI models serving both internal (OpCos, Group functions) and external (enterprise clients, consulting engagements) markets.
• Standardised MLOps toolkits, reusability frameworks, and onboarding assets to accelerate AI deployment.
• Scalable AI-enabled platforms that support predictive and prescriptive use cases across telco and adjacent industries.
• Performance scorecards measuring AI reliability, deployment speed, cost efficiency, and market impact.

Qualifications

Education:

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline (required)
• Master’s degree in Data Engineering, Cloud Infrastructure, or Big Data Architecture (preferred)
• Industry certifications in cloud platforms (Azure, GCP, AWS), big data frameworks (Spark, Hadoop), or DevOps/DataOps tools are strongly advantageous

Experience:

• 8–10+ years in large-scale data engineering, with at least 5 years in a senior or lead capacity.
• Proven track record in productionising AI models at enterprise scale, ideally in telco, geospatial, or similarly high-volume domains.
• Demonstrated leadership in building AI/ML infrastructure and CI/CD pipelines in complex, hybrid environments.
• Experience influencing C-level stakeholders and translating data/AI strategy into operational and commercial outcomes.

Competencies:

• Data Pipeline Mastery: Expert in building and scaling real-time and batch data pipelines using Spark, Kafka, SQL, and Python
• Big Data Infrastructure Leadership: Deep knowledge of distributed systems (Hadoop, Databricks, Hive) and hybrid cloud environments
• Privacy & Governance: Data Anonymisation & Privacy Techniques (k-Anonymity, Differential Privacy)
• Cloud & DevOps Integration: Skilled in CI/CD, containerisation (Docker, Kubernetes), IaC, and observability tools for data systems
• Governance & Compliance Alignment: Designs pipelines that embed data lineage, security tagging, access control, and policy enforcement
• System Optimisation: Drives performance tuning, cost efficiency, fault tolerance, and workload automation at scale
• Team Enablement: Mentors data engineers, drives capability uplift across OpCos, and standardises reusable engineering components
• Cross-functional Influence: Proactively engages with IT, security, architecture, and analytics functions to accelerate delivery and integration

Key Deliverables:

Internal:

• Production-grade, scalable data pipelines for telco, geospatial, and behavioural datasets
• Observability dashboards, automated recovery scripts, and runbooks for performance and system health
• Internal artefacts for reusability: transformation scripts, standard schema libraries, onboarding guides
• Metrics reports on pipeline uptime, latency, cost performance, and consumption across OpCos

External:

• Integration artefacts and onboarding toolkits for third-party and client data sources
• AI/analytics-ready feature sets delivered to downstream product, consulting, and data science teams
• Technical documentation and data pipeline references embedded into data monetisation offers
• Collaborative PoV datasets and artefacts aligned with consulting engagements or client delivery tracks

Apply Before 12/31/2025

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Responsibilities

Analytics & Insight Delivery

• Perform exploratory and advanced analytics on telco, geospatial, digital, and behavioural datasets across OpCos.
• Analyse ML model outputs from Data Science teams and convert them into clear, actionable insight narratives.
• Develop diagnostic and predictive insights for commercial, network, product, financial, and digital use cases.

Dashboarding & Data Visualisation

• Build and manage scalable dashboards and performance scorecards for Group, OpCo, and DataCo consulting teams.
• Ensure consistency, accuracy, and usability of analytical outputs across markets.
• Provide spatial and behavioural visualisations to support mobility analytics, footfall use cases, and ecosystem projects.

Collaboration With Data Science, Engineering & Product

• Work closely with the Senior Manager: Data Science in shaping use cases and interpreting model results.
• Partner with Data Engineers to ensure data readiness and quality for analytics consumption.
• Collaborate with Data Product Managers to embed insights into DataCo products and monetisable solution

Commercial & Consulting Support

• Provide insights to support DataCo Consulting during client engagements.
• Package analytics outputs for external monetisation, sector solutions, and proof-of-value (PoV) engagements.
• Translate analytics into commercial narratives that drive revenue, efficiency, risk mitigation, or customer experience improvements.

Model Monitoring & Ethics:

• Ensure analytics deliverables comply with MTN data governance, privacy, and responsible AI frameworks.
• Validate data integrity, definitions, and consistency across markets.
• Promote a culture of ethical, transparent, trusted data use within DataCo and OpCos.

Cross-functional Collaboration:

• Coordinate workstreams across OpCos to ensure alignment with DataCo standards.
• Drive thought leadership in analytics storytelling, visualisation, and cross-market learning.

Qualifications

Job Requirements (Education, Experience and Competencies)

Education:

• 3 year degree in Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering or related field.
• Postgraduate/Master’s degree in Machine Learning, Artificial Intelligence, or a relevant discipline (Advantageous)
• Certifications in BI tools (Power BI/Tableau), SQL, Python advantageous.

Experience:

• 3–5 years’ experience in data analytics, BI, or applied statistics.
• Experience working with behavioural, geospatial, network, digital or telco datasets preferred.
• Experience supporting data products, ML use cases, or client-facing analytics.
• Previous participation in agile squads an advantage

Competencies:

• Proactive, curious, solution-oriented.
• Integrity, professionalism, and accuracy.
• Collaborative and agile mindset.
• Ability to manage multiple tasks simultaneously.
• Strong understanding of statistical methods and data modelling.
• Telecom KPIs (ARPU, churn, usage behaviour) advantageous.
• Data visualisation best practices.
• Data governance and data ethics principles.

Key Deliverables:

• Insight reports and dashboards for OpCos and Group functions
• Interpretation of ML outputs for commercial and operational teams
• Sector-relevant analytical components for DataCo products
• PoV analytics packages for DataCo Consulting
• Multi-OpCo data harmonisation and insight templates
• Data quality reports and data trust checks

Skills

• Proficiency in Power BI/Tableau.
• SQL and Python for analysis.
• Strong analytical and numerical reasoning.
• High attention to detail.
• Communication and data storytelling.
• Ability to simplify complex information.

Apply Before 12/31/2025