General Manager - Big Data Consulting and DDO Strategy.Group Strategy and Transformation at MTN

Responsibilities

• Group DDO Blueprint Execution and Governance
• Lead the rollout of the Group DDO blueprint across all MTN markets, supported by localized implementation plans tailored to each Opco
• Operationalize blueprint principles, including data maturity advancement, monetization readiness, and AI adoption
• Monitor adherence to blueprint KPIs and proactively flag deviations in architecture or operating models
• Collaborate with Group DataCo, AI, and Platform teams to update the blueprint on a quarterly basis, incorporating feedback and lessons learned

Strategic Road mapping and Transformation Co-creation

• Drive all customer DDO engagements including maturity assessments, transformation strategy design, and control implementation and operationalization, and co-create with customer executives the near and long-term transformation roadmaps
• Facilitate roadmap signoffs at the ExCo level and embed KPIs into business planning and performance management cycles
• Advise on capability sequencing, monetization readiness (including data quality & governance, target operating model, capability readiness, systems, and platforms), and AI integration maturity to ensure strategic alignment and execution feasibility
• Support risk-adjusted prioritization across technology, data, governance, and product workstreams
• Collaborate with IT, Cloud, and Network leadership to provide an end-to-end diagnostic, solution design and execution plan for external and internal clients
• Build the DDO Transformation book of business and deliver on the financial targets for the service line

Capability & Operating Model Uplift

• Define target-state data and analytics capabilities across key domains including data science, engineering, architecture, and governance
• Support HR, L&D, and functional teams to drive competency mapping and organizational design aligned with transformation goals
• Build capacity through agile, squad-based delivery, federated CoEs, and cross-OpCo communities of practice

Executive Coaching and Leadership Activation

• Deliver structured coaching engagements for OpCo CEOs, CTIOs, CFOs, and CDOs on strategic data transformation
• Align local sponsorship models and steerco routines with Group-level transformation governance
• Support leadership in articulating AI and data strategy messaging for investors, regulators, and market stakeholders

Performance Management and Value Assurance

• Establish and monitor data transformation value metrics aligned with ROIC, time-to-market acceleration, and EBITDA uplift
• Embed data transformation KPIs into Group and OpCo performance scorecards to ensure accountability and impact
• Track benefit realization and operational impact of blueprint execution through structured quarterly reviews

Best Practice Codification and Consulting Delivery

• Maintain a centralized repository of cross-OpCo case studies, implementation toolkits, and transformation playbooks
• Build and empower a world-class centralised internal consulting team with a mix of full-time and contractor resources to deliver and scale the DDO consulting business line
• Represent MTN in internal and external data transformation forums and executive sessions

Qualifications

Education:

• Master’s degree in business strategy, Information Systems, or Digital Transformation related field
• Executive certification in Operating Model Transformation, Agile Scaling, or AI Strategy preferred

Experience:

• Atleast 10+ years in top-tier management consulting, technical leadership, or enterprise-wide transformation roles, with strong focus on digital transformation, digital business building, and data-driven decision making
• Proven success leading complex operating model change across multi-country organisations and engaging successfully at senior leadership levels to drive clear action and serving as a leadership advisor
• Demonstrated ability to build and leverage delivery partnerships to scale customer impact. P&L ownership and deal-making experience is highly preferred
• Very Strong knowledge of digital operating models, data structures and governance end to end, data quality, analytics platforms and methodologies, capability maturity assessment methods, and a strong sense of cross-industry data monetisation strategy, opportunities, and best practices

Apply Before: 07/20/2025