Business Technology Leader

1 week ago


Roodepoort, Gauteng, South Africa MTN Full time

Job Summary

We are seeking a seasoned Business Technology Leader to drive the innovation and adoption of Artificial Intelligence (AI) across our Next Generation Business Support Systems.

About the Role

This is an exciting opportunity to join our team as a Senior Manager, leading the transformation of our charging and billing systems through the integration of AI and Generative AI technologies.

You will be responsible for combining deep telecommunications BSS expertise with cutting-edge AI capabilities to create next-generation revenue management solutions across MTN.

Key Responsibilities

  • Lead and co-create cross-functionally with other business units, MTN platform businesses, and stakeholders to execute AI journeys and design AI-first businesses.
  • Conceptualize and design full-stack AI-enabled BSS solutions, including AI infrastructure, tools, environment selection, AI/ML model development and deployment, and AI applications.
  • Strategic consulting, implementation, and support for operating companies, advising on AI-enabled BSS at scale.
  • Guide development teams in implementing AI/ML models within BSS workflows.
  • Establish best practices for AI model governance and billing accuracy.
  • Collaborate with data scientists to optimize AI models for billing use cases.
  • Lead proof-of-concept initiatives for emerging AI technologies in BSS.
  • Develop strategic thinking, in-depth understanding of business drivers, and deep knowledge of legacy and emerging technologies.

Deliverables

  • Next-Gen BSS AI Reference architecture and framework.
  • Next-Gen BSS AI Value Realization Framework.
  • Quarterly roadmap for AI/ML feature implementation across OpCos.
  • Monthly AI/GenAI model performance reports in collaboration with BSS strategic partners.
  • Drive the AI Community of Practice through dedicated IT Circle (tribes, squads) to drive AI products.
  • Ai adoption business case framework and business cases for scenarios related to products and services enabled by AI/GenAI at the core, AI-enabled High Volume Journeys; collaboration on network optimization use cases.
  • Ai standards, policies, guidelines alignment for Next-Gen BSS.
  • Ai governance framework for billing operations.
  • Ai emerging trends in the BSS domain with a 3-year roadmap.
  • Conceptualize and ideate future AI solutions in the BSS domain through Proof of Concepts with strategic partners.

Qualifications

  • Minimum 4-year relevant academic degree with honors (B Eng / BSc degree preferred).
  • MBA/Masters advantageous.
  • English (French and/or Arabic advantageous).
  • Relevant certification/accreditation/membership with professional body as required for role (e.g., AWS Certified ML Speciality, AI 900 – Microsoft Azure AI fundamentals, AI-102 Designing and Implementing a Azure AI solution).

Experience

  • Manager track record of 5 years or more.
  • Minimum of 10 years' overall experience in IT with proficiency in computer languages associated with different components in the AI solution life-cycle: data collection, data manipulation, feature extraction, model creation, solution architecture, development, and operationalization of the solution (e.g., Linux; Docker; Python; SQLAlchemy; Java; JavaScript; Angular).
  • 8+ years of experience in BSS/OSS architecture, with focus on charging and billing systems.
  • Strong understanding of modern charging systems (online charging, convergent charging) E/// BSS portfolio, Huawei BSS portfolio.
  • Minimum of 5 years' experience building and optimizing AI-based solutions (using appropriate tools and libraries, e.g., Tensorflow, Keras, scikit-learn, Prophet, RAPIDs (NVIDIA), Pandas, Matplotlib) within a cloud-native paradigm.
  • Minimum 2 years' experience creating and serving AI Cloud solutions for different data modalities (e.g., image, machine telemetry, time-series, text, structured data) and GenAI LLM enabled solutions in the customer experience space.
  • Minimum 2 years' experience engaging and working with ecosystem partners and vendors in the AI and automation fields.
  • Hands-on experience working on AWS, Azure, Google Cloud building AI, Machine Learning systems. Ability to review code and designs.
  • Proficiency in Infrastructure as a Service, Platform as a Service, and related concepts on the public cloud.
  • Demonstrated specialized technical and strategic leadership through customer engagements, deliverables, and presentation of AI solutions.
  • Appropriate certification in AI/ML fundamentals and engineering technologies (e.g., Azure, AWS, or GCP AI certifications).
  • Experience working across diverse cultures and geographies is advantageous.
  • Strong communication skills, including the ability to communicate complex messages and ideas and influence decision-makers.
  • Excellent presentation skills and experience in public speaking.

Salary Range

R1,200,000 - R1,800,000 per annum, depending on experience and qualifications.



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