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  • Posted: Nov 12, 2024
    Deadline: Not specified
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  • MTN Group Limited entered the telecommunications scene at the dawn of South Africa’s democracy, in 1994. In 1998, we began our expansion by acquiring licences in Rwanda, Uganda and Swaziland. Since then, we continued to grow, with a view of bringing world-class telecommunications and digital services to markets across Africa and the Middle East. Through ou...
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    Secretary - Executive Secretary Finance

    Responsibilities
    Key Performance Areas: 

    • Proactively manage the assigned Exec’s diary, and seamlessly plan his/her itinerary, schedule and meetings.
    • Liaise with Finance Expenditure to ensure payments to third party suppliers in relation to expenses of the Exec’s office.
    • Manage the day-to-day administration of the assigned exec’s office and diary.
    • Develop and maintain an efficient documentation and filing (electronic and hard) process.
    • Write minutes of meetings and produce memos of such for review.
    • Tactfully manage sensitive matters and information regarding peculiar issues within the department.
    • Cross-examine documents for Exec’s review to ensure quality control and compliance to MTN policies. 
    • Handle assigned Exec’s internal and external designated correspondence.
    • Collate monthly activity reports from the different units within the assigned department for the exec’s review.
    • Processes all requisitions for the Exec’s office.
    • Performs quality control checks on Exec’s presentations, to ensure proper formatting and elimination of errors.
    • Respond to customer queries and requests on non-technical issues and escalate to the Exec when necessary.
    • Coordinate the organization of social events connected to the Exec’s office. This includes preparing cost estimates, managing the budgets and coordinating all activities for the success of the programme.
    • Make efficient travel arrangements for the Exec’s office.

    Supervisory / Leadership / Managerial Complexity:

    • Efficient self-supervision to ensure smooth running of the office.

    Qualifications
    Education:

    • Matric
    • A good first degree preferably in Secretarial Administration

    Experience:

    • At three years’ experience in an administrative capacity in a reputable company.
    • Experience in administrative support for a top management personnel of a reputable company, with local and international operations.

    go to method of application »

    Senior Manager - Next Generation Business Support Systems

    Responsibilities
    Mission/ Core purpose of the Job

    • The Senior Manager Next Generation BSS role is a member of MTN Group Technology IT Strategy and Architecture team, to lead the transformation of our charging and billing systems through the integration of AI and Generative AI technologies. This role combines deep telecommunications BSS expertise with cutting-edge AI capabilities to create next-generation revenue management solutions across MTN
    • The team are focused on driving the digitization and innovation strategy across MTN’s markets through technology leadership and collaboration with the relevant stakeholders to enable new growth engines, achieve operational excellence, deliver superior customer experience and unlock value through TCO reduction as part of the PACE strategy. The role will focus on driving the design and delivery of  creating cutting edge AI solutions for Next Generation BSS/OSS  technology domains through AI journeys, processes, models and KPIs.

    Key Performance Areas: Core, essential responsibilities / outputs of the position (KPA's)

    The Senior Manager Next Generation BSS  role will have the following responsibilities: 

    • Lead and  co-create cross functionally with other BUs (e.g. CBU, Digital, EBU), MTN platform businesses (e.g. Fintech) and other stakeholders and execute their AI journey.  Design AI-first businesses.  
    • Conceptualise and design full stack AI enabled BSS solutions - AI infrastructure and tools / environment selection, AI/ML model development and deployment, AI applications.  AI Architecture, Business Architecture, Customer Insight & Segmentation, Data Mining, Optimization, Big Data Technologies.
    • Strategic consulting, implementation, and support for our operating companies,  advising and solutioning for 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
    • Strategic thinking, in-depth understanding of business drivers, deep knowledge of legacy & emerging technologies.  AI specific BSS strategy development - “as is” and “to be” scenarios, followed by gap analysis, options development, and technology/execution roadmap.
    • Facilitate Collaborations and Partnerships -  Collaborate with strategic partners and organisations in bringing industry consortium solutions together. Innovation through partnering, an eco-systems approach.
    • Define Next Gen AI BSS value realization framework; Track and report key impact metrics across user cases in different domains to stakeholders
    • Establish community of practice within MTN. Drive roadshows to increase awareness
    • Ensure governance model and processes adopted in Opco(s) is in alignment to the established reference standards; conduct reviews, identify issues, and determine root cause, and improve processes to prevent recurring issues
    • Ability to network across new areas and build strong and trusted business relationships

    Deliverables

    • Next GenBSS 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 the 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 GenBSS
    • 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
    Education:

    • Minimum 4-year relevant Academic Degree with Honours (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’ of 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 in 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 eco-system 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 specialised 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 in 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

    Method of Application

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