General Manager - Data Products Engineering.Group Strategy and Transformation at MTN

Responsibilities

• Data Monetisation Strategy and Vertical Prioritization
• Define data monetisation strategy with prioritised use cases for retail, insurance, transport, and digital advertising sectors
• Partner with Group Strategy and OpCos to align the monetization roadmap with market opportunities and regulatory readiness
• Translate global trends in data monetization into actionable strategies tailored for MTN Group
• Facilitate cross-functional workshops to align on monetization objectives and market targeting

Infrastructure, Product Development and Commercial Delivery

• Lead the design and development of scalable, high-impact data products across domains such as customer insights & segmentation, mobility intelligence, and location/geospatial analytics
• Translate business and market needs into data-driven solutions, collaborating with product managers and commercial teams to define packaging, delivery models, and pricing frameworks tailored to target industry verticals
• Ensure modular, scalable product architectures that adapt to diverse client and OpCo requirements
• Collaborate with platform engineering to standardize delivery and access protocols using advanced technologies
• Oversee end-to-end engineering execution, from data ingestion and processing to modelling and visualization on MTN’s data platform
• Ensure robust architecture, performance, scalability, and security of data solutions across Group and OpCos
• Architect and build out required high-performance and high-security technical infrastructure to facilitate data processing and solution design and deployment, in collaboration with MTN’s technology and cybersecurity teams to ensure system reliability, security, and compliance
• Drive adoption of best practices in DevOps, Mops, and automated data pipelines
• Establish a culture of innovation, technical excellence, and continuous learning within engineering and product teams
• Identify and integrate emerging technologies, data partnerships, and innovation opportunities to evolve MTN’s analytics product portfolio

GTM and Channel Enablement

• Co-develop go-to-market strategies in collaboration with DataCo and OpCo sales teams to drive effective commercialization of data products
• Equip channel teams with technical sales kits, demos, and commercial playbooks, and deliver targeted training
• Monitor sales enablement effectiveness and continuously refine collateral based on field feedback and performance insights
• Provide extensive support to DataCo Technical Pre-Sales teams during client engagements, including contracting, SLA definition, and provisioning for priority clients. Deliver technical input, build proof-of-concepts, and respond to client requirements across industry verticals
• Deal Structuring and Partner Management
• Identify and structure strategic technical and capability partnerships to scale DataCo’s delivery capacity, clearly articulating the business rationale and operating models
• Facilitate co-sell agreements, joint value propositions, and revenue-sharing frameworks with ecosystem partners
• Engage with C-suite stakeholders to secure support and alignment for key partnerships
• Regularly review customer feedback on DataCo products and services and integrate insights into agile product improvements and new opportunities

Risk, Governance & Compliance Alignment

• Ensure all monetization constructs adhere to data privacy, consent, and regulatory compliance frameworks
• Collaborate with Legal, Risk, and Compliance teams to embed trusted data practices across the organization
• Develop proactive mitigation strategies to address regulatory changes impacting data monetization
• Participate in internal audit and risk governance forums to ensure accountability, transparency, and traceability

Qualifications

Education:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
• Master’s or higher degree in Engineering, Computer Science, or Data Analytics-related fields strongly preferred
• Certification in A.I. technologies, Big Data Analytics, Agile ways of work, data commercialisation, digital product management or analytics value realisation is advantageous

Experience:

• Atleast 10+ years of progressive experience in data science, AI/ML, analytics product development, and/or data platform engineering, CI/CD methodologies
• Proven leadership of cross-functional data/engineering and IT teams in a commercial environment
• Hands-on experience with cloud platforms (AWS, Azure, GCP), big data tools (Spark, Hadoop), and modern ML/AI frameworks (TensorFlow, PyTorch, etc.)
• Strong exposure to B2B analytics use cases and technical pre-sales engagements, with a strong orientation toward solution design and consultative sales
• Experience working across multiple countries or regions (Africa experience highly advantageous)
• Proven track record in launching and scaling commercial data products within telecom, fintech, or platform-based business models
• Deep experience collaborating across multi-disciplinary teams and engaging with senior stakeholders at client organizations

Competencies:

• Strategic Monetization Planning: Demonstrates strategic thinking and business orientation; translates data assets into revenue streams aligned with market needs
• Product and Pricing Strategy: Designs and operationalizes monetization models, bundles, and API pricing structures
• Market and Partner Insight: Understands external vertical dynamics and co-develops compelling value propositions
• Cross-Functional Execution: Coordinates Legal, Sales, Platform, and DataCo delivery teams to drive go-to-market impact
• Commercial Storytelling: Clearly articulates value propositions for enterprise buyers and strategic partners
• Regulatory Sensitivity: Crafts monetization strategies that are compliant, auditable, and ethically grounded
• Technical Acumen and Agility: Provides leadership in technical architecture and product engineering; possesses strong expertise in data science and AI/ML solutioning. Executes with agility in fast-paced environments and demonstrates exceptional creativity in problem-solving

Apply Before: 07/20/2025