Job Summary
AI Resource Key Responsibilities:
• 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
Key Responsibilities
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.
Skill Requirements
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.