Gen AI lead

Essential Job Functions:

• AI-Ops/AI Strategy & Roadmap: Govern the AIOps/AI roadmap, ensure alignment with business priorities and use case value as well as proper and timely execution for all OpCos as per the committed timeframe.
• AIOps & Autonomous Network Transformation Leadership: Lead, coordinate, govern, and drive multiple managed service suppliers, technology partners, and MTN OPCOs in the implementation of AIOps capabilities and the achievement of TM-Forum Autonomous Network Level 4 (ANL4) maturity across designated group footprint. AI resource will act as the central transformation lead responsible for strategy execution, supplier alignment, governance, performance management, and realization of automation, operational efficiency, and autonomous network objectives.
• Value & Financial Assurance: Standardize and validate value realization (cost savings, efficiency, revenue generation, and customer experience), ensuring supplier-reported benefits are accurate.
• Supplier Governance: Enforce AI-related KPIs, KBIs, KEIs, SLAs, and accountability for delivery, performance, and evolution of AI capabilities across all OpCos. Facilitate collaboration between OEMs, managed service partners, platform vendors, group, and OPCO stakeholders to timely resolve cross-supplier and cross domain dependencies, conflicts, and delivery bottlenecks. Conduct regular supplier performance reviews and transformation governance sessions.
• Standardization & Scalability: Ensure that AI use cases, data models, and implementation approaches are aligned and consistent across all OpCos, enabling successful solutions to be easily reused and quickly deployed across multiple markets without the need to redesign or rebuild them.
• Data & Architecture Governance: Ensure data quality, availability, and proper integration with OSS aligned to target MTN architecture.
• Risk & Compliance: Manage AI risks (bias, explainability, security, privacy) and ensure regulatory compliance.

Qualifications:

Skills required:

• Programming & Data Skills: Proficiency in Python, SQL, and data engineering, with experience in data extraction, transformation, and analysis.
• Visualization & Reporting: Strong capability in building dashboards and automated reporting solutions (e.g., Power BI).
• Integration & Automation: Experience with API integration and developing automation workflows.
• AI/ML Expertise: Solid understanding of the AI/ML Ops lifecycle, including deployment, monitoring, and optimization, with exposure to Agentic AI frameworks.
• Explainable AI (XAI): Knowledge of model interpretability techniques such as SHAP and LIME.
• Telecom Domain Knowledge: Hands-on experience with telecom systems, technologies, OSS, data environments, and system integration.
• TM-Forum Autonomous Networks (AN): Expert knowledge of TM-Forum Autonomous Networks framework, standards and best practices. Drive the AI use case implementation across OPCOs to ensure autonomous networks maturity in-line with MTN ANL4 strategy. Manage, govern and drive the AN level maturity assessment following TM-Forum Autonomous Networks Level Evaluation Tools (ANLET) and the Autonomous Networks Operations Measurement (AOMM). Knowledgeable in driving close-loop Intent Driven AN through strong collaboration with multiple domains, OEMs, and suppliers.
• Strong Agility: Demonstrates the ability to adapt quickly to changing business priorities, operational challenges, and evolving environments while maintaining focus on delivering results. Embraces change, responds effectively to new information, and proactively adjusts plans and approaches to meet organizational objectives.