Manager - Emerging Technologies, Strategy And Innovation

• First Degree in Computer Science, Mathematics, or Electrical / Electronics
• Fluent in English

Experience:

• 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.

• First Degree in Computer Science, Mathematics, or Electrical / Electronics
• Fluent in English

Experience:

• 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.

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.