Contribute to the development of systems and solutions delivery methodology and framework to guide related activities within the IT Division, defining standards, processes, procedures, metrics, and operations requirements.

Lead and guide a team of data analysts, engineers, and scientists responsible for the day-to-day delivery of business reporting requirements and enterprise data management.

Lead the deployment of systems, platforms, and new technologies in the BI, Analytics, CVM, and AI ecosystems.

Contribute to the BI, Analytics and AI roadmap and blueprint for MTN Nigeria.

Support the development of the digital transformation program for Business Intelligence, Analytics, and AI.

Budget planning and Capex management for Business Intelligence and AI initiatives

capacity planning and forecasting

Develop and implement a portfolio rationalization program for BI and CVM systems and solutions.

Implement a data governance and quality program for MTN Nigeria in collaboration with key stakeholders.

Business requirements management, prioritization, and alignment with the organization’s strategic objectives

Vendor and partner management for effective and efficient service delivery

Ensure adequate maintenance of the team’s policies, processes, and guidelines, and enforce compliance within the team.

Collaborate with IT teams on Agile delivery and manage the team’s product backlog for continuous value realization.

Manage relationships with internal and external customers and suppliers to ensure MTNN value proposition and value for money on all product development projects.

Manage the day-to-day working relationship between the BI Design team and other IT and business teams with respect to product reporting, system and platform data integration, and CVM campaign delivery.

Lead a group of technical experts responsible for the design and delivery of business reports, data integration, data analytics projects, and artificial intelligence initiatives.

A first degree in computer science, engineering, information systems, technology, or a related discipline

A master’s degree in a related field will be an added advantage.

Professional certifications in IT and data/analytics domains will be an added advantage.

Fluent in English

A minimum of 3 years’ experience in an area of specialization, with experience in supervising or managing others

Experience working in a medium- to large organization

Experience in implementing a big data and/or analytics solution, including a data warehouse and big data solutions

Experience in enterprise data integration from multiple upstream data sources to BI or Big Data Platform

Experienced in enterprise BI reporting delivery and support

Good knowledge of Artificial Intelligence, Machine Learning and Emerging BI and analytics technologies

Good knowledge of telecoms and digital technologies Ecosystem Design and Implementation

Good knowledge of data and information architecture in a large enterprise

Knowledge of data lake design and implementation

Experience in Customer Value Management technology ecosystem and implementation

Data Governance Program Implementation

Experience in Master Data Management process and tools

In-depth experience in Enterprise Architecture Practice and Processes

Good understanding of ETL processes, data engineering, and pipeline management

Good working knowledge of EA and IT frameworks such as SDLC, Agile, ITIL, TOGAT, COBIT, etc.