Jobs at MTN

Mission

Manager IT architecture will form a part of a highly skilled group of IT and management experts responsible for the Architecture of GlobalConnect global IT infrastructure and support other business units with the deployment and utilization of the assets. The role will be accountable for the IT blueprint, which includes the roadmap, selection technology, and solution architecture to address the needs of the business portfolios.

Job Requirements

Education:

• Minimum 4-year Academic Degree (B Eng. / BSc Degree preferred), Master’s degree (advantageous).
• Relevant certification/accreditation/membership with professional body as required for role.
• Fluent in English and language of country preferable

Experience:

• 5+ years’ experience in Telecom domain in wide range of roles – Architecture, Delivery and Operations.
• Must have hands on experience in BSS and OSS Platforms – Salesforce(CRM, CPQ), Oracle ERP, Contract Management, Oracle ERP, Enterprise Integration Platforms, API Management Platforms, Service Activation and Provisioning Systems, Mediation and Billing, Service Assurance platforms
• Experience in revenue assurance and fraud management technologies and processes
• Must have experience in eTOM, SID and NGOSS Framework.
• Enterprise and solution Engineering experience
• Strong background in solution architecture preferably with leading telecom companies
• Knowledge of Telecom industry best practices, future trends, and design patterns
• Worked across diverse cultures and geographies (advantageous)
• Experience working in a medium to large organization

Competencies:

• Strategy Implementers, Decisive Problem Solver, Best Practice Value Creator
• Culture and Change Champion, Guiding People Manager, Relationship Builder
• Results Achiever, Operationally Astute
• Detailed knowledge on the international telecommunication infrastructure industry regarding latest industry trends and competitive landscape within the MTN footprint
• Strong understanding of managed networks
• Strong analytical skills to be able to execute market analysis, competitor landscape reports and customer monitoring – Understanding the connectivity infrastructure wholesales landscape with a focus of emerging markets
• Demonstrated skills in Team Leadership
• Excellent Oral and Written Communications and Presentation Skills
• Must be self-motivated, analytical, detail oriented, organized and pursue excellence on all tasks
• Excellent communication and presentation skills, both verbal and written
• Ability to solve problems using a creative and logical mind set

Head

• Executes tactical plans to achieve strategic requirements
• Has the mental agility to identify and solve relevant business challenges
• Executes and identifies opportunities for commercial innovation and continuous improvement

Heart

• Role models ethical practices by living the MTN values and vital behaviours for others to follow
• Is self-aware and supports team capability development through opportunity creation for realising potential
• Builds professional networks across teams through collaboration and co-operation

Hands

• Produces sustainable business results through ethical practices

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Mission/ Core purpose of the Job

The role of the Advertising Data Scientist is to leverage internal and, where applicable, external datasets to build and evolve, using “best practice” methodologies and statistical techniques, MTN’s targeted advertising capabilities within and across MTN’s territorial footprint (OpCo’s).

The Data Scientist is responsible to support respective advertising strategies and the associated product/roll-out roadmap, taking direction and guidance for the SM: Advertising to ensure prioritisation and standardisation of deliverables. The Data Scientist is also responsible to contribute towards the advertising operational performance, both at a product portfolio and OpCo level.

The Advertising Data Scientist reports to the SM: Advertising

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

Key Deliverables

The Advertising Data Scientist will be accountable to achieve the following objectives:

Strategy Development and Implementation

• Provide data insights and conduct detailed analysis on data to support strategic decision making
• To analyse markets and competitors detect business opportunities.

Governance

• Provide input in strategic meetings when required
• Provide inputs into the risk mitigation and controls
• Provide input into the preparation of proposal on change initiatives, policies and procedures

Escalations

• Escalate issues that will result in severe time, scope, productivity, and cost or resource impact
• Provide solutions to escalations that have multiple processes / functions impact on critical path of service delivery

Function Tactical

• Provide input into all projects initiated
• Provide input into establishing objectives, targets and budgets for the function as applicable
• Identify and document key risks, issues and dependencies and set mitigation actions
• Prepare documentation required for sign-off / making decisions regarding tactical changes

Performance

• Ensure execution in alignment with divisional strategy

Reporting

• Report on a periodic basis to the Reporting Manager relating to progress made within the function and in accordance with the measurement metrics set by the organisation
• Report on an ad hoc basis on specific projects, as required

Budgets

• Assist in managing functional budgets in line with overall budget and business objectives
• Assist in managing project initiative budgets in line with business objectives

Operational Delivery

• Support in the development of a data strategy to enable the execution of the advertising strategy
• Develop, continuously improve and execute an efficient framework to identify, organize, structure and make available data attributes and information relevant for digital advertising
• Define and continuously optimize targeting approaches for Digital advertising
• Produce Product Specification documents, Scope of Work documents, Code of Conduct document with regards to data management needs for advertising strategy
• Source, organise and analyse data to support the digital advertising strategy
• Analyse and support plan to improve sales target and productivity through data led insight

Job Requirements (Education, Experience and Competencies)

Education:

• Minimum of 3-year tertiary degree / diploma (Bachelors of science, Engineering or related field)
• MBA or Masters (advantageous)

Experience:

• Minimum of 5 years’ experience in telecommunications, digital marketing, eCommerce sales, digital product management, content, media and/or application
• Deep knowledge of Advertisement, value Added Services experience
• Experience with Agile delivery and Development Operations frameworks
• Deep understanding of the digital ecosystem, players, business models and industry related best practices.
• Experience in ecommerce and electronic payment business is advantageous.
• Entrepreneurial spirit, self-driven and ability to motivate a fast-paced team
• Strong analytical skills and data-driven thinking
• Experience with Google Analytics or equivalent‬ ‬‬‬is advantageous ‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
• Understanding emerging markets advantageous
• Worked across diverse cultures and geographies
• Pan Africa multi-cultural experience is advantageous
• Attitude of Innovation, inventiveness and thought leadership
• Abreast of global mind-set and best practice
• Willing and flexible to travel within Africa and Middle East
• English speaker. French, Portuguese, Zulu, Swahili, and other Africa languages a plus

Competencies:

Functional Knowledge:

• Proficiency in working with Python, SAS or R / Scala for data clean up and advanced data analytics
• Knowledge on Deep Learning and its applications.
• Strong analytical skills with ability to automate reports using standard enterprise BI tools like Tableau, Power BI, D3, SQL Server Reporting Services
• Working knowledge in Hadoop, Apache Spark and related Big Data technologies
• Highly proficient in database management systems like Postgres, Oracle, Mongo, MSSQL
• Ability to design, deploy and maintain machine learning and predictive model for different business use cases

Skills

• Analytics and Interpretation
• Continuous improvement
• Data interpretation
• Digital mind-set
• Dealing with ambiguity and complexity
• Decision Making
• Conflict Management
• Negotiation
• Project Management
• Presentation