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    Manager - Emerging Technologies, Strategy and Innovation - Lagos, Nigeria - MTN Nigeria

    MTN Nigeria
    MTN Nigeria Lagos, Nigeria

    1 week ago

    Default job background
    Full time
    Description

    ABOUT THE COMPANY

    MTN Nigeria - The leader in telecommunications in Nigeria, and a part of a diverse community in Africa and the Middle East, our brand is instantly recognisable. It is through our compelling brand that we are able to attract the right talents who we carefully nurture by continuously improving our employment offerings even beyond reward and recognition

    JOB SUMMARY

    Requirements Education: First Degree in Computer Science, Mathematics, or Electrical / Electronics Fluent in EnglishExperience: 6–13 years of experience, which comprises a background in software development and work in research and development, innovation, and managing the product development life cycle Experience taking ideas and concepts to market-ready solutions in mobile applications, microservices, or cloud-enabled architectures is a plus. Work experience across diverse cultures and geographies. Proven program-management experience, preferably with an organization health component. High-performing individual with strong standing, credibility across organization and a natural internal network. Strong analytical skills and sound business judgment. Excellent problem-solving skills and the ability to help others organize problem-solving Excellent communication skills; strong networking and influencing skills Experience creating and presenting reports and presentations to all levels of the organization Strategic outlook and attention to detail.

    RESPONSIBILITIES

    Mission Responsible for initiating and implementing the next generation of digital platforms across the following paradigms: Artificial Intelligence Machine learning Blockchain use-cases Biometric Identification/authentication Data Monetization Cloud computing Speech recognition Responsible for collaborating with global R&D partners on the following areas: Deep Learning Machine translation Immersive virtual reality Screenless display (virtual retinal display, bionic contact lens, EyeTap, Google Glass) Semantic Web Services, Semantic Web Stack, and Web 3.0 Banking Industry Architecture Network nFactor Authentication Description Play a pivotal role in shaping MTNN's technology landscape by identifying, evaluating, and implementing initiatives centered on emerging technologies (Generative AI, Machine Learning, Robotics, IoT, Bloackchain etc.). Lead the research and development of opportunities within emerging technologies and its applicability for value creation. Identify new opportunities, develop business cases, test feasibility, and create prototypes; while considering regulatory and governance requirements. Analyze market trends and oversee pre-commercialization assessments to support the development of incubator ideas. Identify critical high-payoff strategies, articulate use cases, and program-manage the delivery from ideation to execution. Design and develop a roadmap, customer value proposition, and monetization strategy for venture framework. Coordinate interactions with internal and external stakeholders and program-manage initiatives for effective execution. Support the execution of MTNN Digital Transformation initiatives through effective program management; drive MTNN's ambition to lead industry connectivity, build the industry's largest platforms, and attain Digital Leader maturity levels. Partner with innovation hubs and ecosystem stakeholders to source venture partnership opportunities for shared value creation, leveraging MTNN's assets and subscriber base. Maintain present-day knowledge of emerging technologies, organize knowledge-sharing sessions, and be the resident expert, providing feedback on your exploration to the innovation leadership for review and further dissemination to the divisions. These may include: Machine learning and related algorithms are applied to various areas of recommendations, predictions, prescriptive analytics, optimizations, classifications, clustering, and segmentation. Deep learning with object recognition derived from computer vision and natural language processing (via videos and script metadata). Data science-based methods to automate learning include the use of probabilistic reasoning and uncertainty management to maximize confidence in solutions. Designing and implementing natural language interactions and conversational AI that provide intelligent user assistance. Participate in identifying and creating applications for novel technology and business ideas.

    REQUIRED SKILLS

    Brand management, Business strategy, Big data and data analytics, Economics and business, Marketing

    REQUIRED EDUCATION

    Bachelor's degree

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