Current Opportunities at MTN

JOB DESCRIPTION

Order Capturing and Processing.

• Making sure Order Capturing and Processing is done correctly within time, quality and cost. making sure orders are captured as per SLA in conjunction with external and internal customer requirements.
• Ensure orders are released from finance and approved, follow-up for stock delivery and activation from time to time.
• Check if stock is enough/available from PPMS and Warehouse before approving orders. 
• Orders must be on booked status, , File all orders (Supporting document to be submitted at the time of appraisal).

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JOB DESCRIPTION
The Manager will be accountable across the following:
Strategy Implementation: 

• Assist in the creation of sub-divisional strategy in line with overarching divisional goals 
• Ensure effective implementation of sub-divisional strategy by means of providing direction, structure, business plans and support
•  Ensure that the documented controls are in place and functioning (i.e. Check lists and controls manuals)
• Facilitate the audit of the controls within the environment
• Assess the outcomes of the control environments and implement areas that need to be enhanced and strengthened based on the recommendations of Manager in conjunction with Senior Manager 
• Along with the service management team drive the close out of the automation of reports and processes to significantly reduce the use or need of journals
• Use reports to highlight inefficiencies in processes and report same to Operations, Service management and HOD's 
• Use reports to document KPI’s which will facilitate the investigation of gaps to create actionable and sustainable remedial plans

Staff Leadership and Management: 

• Set KPIs and provide regular performance feedback 
• Develop and implement a training plan to build and develop skills within the team 
• Manage workload within the team and increase operational efficiencies
• Coach and mentor direct reports to ensure staff motivation is high 
• Transfer skills for staff development, motivation and business continuity 

Incident and request management, and coordination and oversight on third-level, fourth-level resolution:

• Resolve complex incidents and requests raised by the users in a timeous manner, by acting as second level of support 
• Safeguard MTN BOOST Global Template (GT) with special focus on complex incidents and requests
• Triage complex incidents and requests, and escalate to the third-level support performed by support service provider
• Monitor and ensure effective coordination for timeous resolution of incidents and requests raised with support service provider
• Identify root causes of issues or problems 
• Ensure Escalation Path is well documented and correctly applied by existing & new team members 

SSH Operational: 

• Set up and manage project status meetings 
• Review and identify key risks, issues and dependencies and set mitigation actions 
• Provide inputs to budgets where applicable
• Train team on the End to End Period End Close Treasury and Cash Management Cycle
• Educate team on the overarching view of all the Finance Team activities and touch points for ease of consolidation and reporting of risk areas to the Senior Manager
• Sign-off / make decisions regarding operational changes 

Operational Delivery:

• Service Delivery Management 
• Manage period-end processes including review of the Oracle automatic transactions 
• Manage and approve manual transactions/ journals and ensure the journals are within the reporting requirements 
• Manage and approve request for automated or recurring journals and review generated journals to ensure that they are in line with the reporting policy 
• Monitor reversal of previous months adjustments 
• Review all reconciliations on a monthly basis 
• Review AP/AR reports at the month end to identify reclassification transactions
• Review all reclassification journals timeously as per the period end schedule 
• Manage the closing of the relevant account classes 
• Manage settlements & account reconciliations 
• Review and approve all cost centre, profit centre, cost element and internal order creation 
• Maintain all accounts of the company in accordance with the guidelines, to ensure subsequent period end reporting is correct and accurate 
• Review random transactions and check for SOX compliance 
• Provide technical expertise and mentorship for the end-to-end GL function 
• Plan knowledge management and ensure backup resourcing to avoid loss of knowledge/information due to attrition 
• Drive quality improvement processes within the Intercompany and period close team teams (six sigma) 
• Monitor completion of intercompany reconciliations on a periodic basis as per period close schedule and review intercompany adjustment 
• Ensure client satisfaction is at the highest level and as per service delivery measures 

Service Management 

• Ensure SLAs are met for review of corrections made to the platform   
• Design and track dashboards for quality, productivity, and effectiveness 
• Review the internal query documents and liaise with internal departments as necessary 
• Provide necessary response to audit queries and investigate and resolve audit differences and other audit issues 
• Guide and direct third party consultants in achieving MTN OPCO objectives

Intercompany

• Educate and train team on the Intercompany environment and the use of the Intercompany Tool (ARC & FCC) and ARCS Reconciliation Processes 
• Oversee and review Intercompany confirmation, reconciliation, processing and distribution. • Manage Intercompany discrepancies to close out & resolution • Manage & Oversee of Intercompany load, match and post (IC tool) ARC, FCC & Hyperion• Manage & Review Intercompany cashflow details for cashflow input

ARCS Process

• Ensure all Finance Accounts are fully reconciled and support the closure of any Reconciliation Risks 
• Report all discrepancies on the KPI Dashboard accordingly and to the Senior Manager 

Audit

• Manage and coordinate both the Internal and External Audit for OPCOs being supported 
• Facilitate and plan Audit meetings prior and at end of Audit
• Distribute, monitor, track and obtain feedback on all CAS requests and Report any Risks to Senior manager
• Support the close out of any/all Audit Findings with final approval and support from Senior Manager Finance 

Tracking, Monitoring & Feedback 

• Use KPI dashboards; Volumetric tracking of Key and Risk areas and Summary of Key Finance and SCM activities to provide appropriate and timeous feedback to the senior manager and make correct decisions

QUALIFICATIONS
Education:

• Minimum 3-year tertiary degree in Finance
• Honours in Accounting and Articles of Clerkship in a Chartered Accountancy firm (Preferred)
• Chartered Accountant - Advantageous

Experience:

• 4-7 years of relevant experience in Finance
• 2 - 4 years of experience in a managerial role
• 2-4 years of experience in period end close and intercompany related role
• Experience working in multi-national organisations with extensive geographic footprint
• Experience in a Shared Service Centers / Business Process Outsourcing environment
• Experience in Telecom / Finance / Insurance industry (preferred)
• Working knowledge of ERP (Oracle preferred)
• Working knowledge of MS Office (Word and PowerPoint)
• Advanced Excel skills and knowledge of fast formulas
• 2-4 years managerial experience in continuous improvement through the implementation of best practices (Period end close and intercompany)
• Understanding of intercompany processes
• Fluent in English with the ability to communicate and describe complex technical solutions in easy-to-understand concepts
• French Advantageous

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JOB DESCRIPTION

Mission/ Core purpose of the Job

The Senior Manager AI Strategy and adoption role is a member of MTN Group Technology IT Strategy and Architecture team, who is responsible for the design, development, implementation, and management of AI technology 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 different technology domains through AI journeys, processes, models and KPIs.

RESPONSIBILITIES

The Senior Manager AI Strategy and Adoption 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 AI stack 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 at scale.
• Strategic thinking, in-depth understanding of business drivers, deep knowledge of legacy & emerging technologies.  AI specific 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 AI value realization framework, Track and report key impact metrics across user cases in different domains to stakeholders
• Business transformation powered by data analytics and Artificial Intelligence. 
• Leverage cloud and edge computing, accelerated computing.
• Identify, source and assess data for the purposes of AI/ML solutions 
• 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

• AI Reference architecture and framework
• AI Governance framework 
• AI Value Realisation framework
• 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 channel transformations, products and services related to commerce; collaboration on network optimization use cases 
• AI standards, policies, guidelines
• AI emerging trends with a 3-year roadmap
• Conceptualize and ideate future AI solutions 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:

• 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: Flask, SQLAlchemy; Java; JavaScript: Angular)
• Minimum of 5 years’ experience building and optimizing AI based solutions (using appropriate tools and libraries, e.g., TensorFlow, Keras, scikit learn, Prophet, xgboost, 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 different solution approaches (classification and regression, anomaly detections, time series forecasting)
• 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

Competencies:

• Business Acumen, Problem Solving, Information processing, Influencing others
• Data interpretation, Judgement, Continuous improvement, Reporting
• Get it done, Communication, Innovative, Agile, Accountable
• Ability to function across multiple business lines in a multicultural environment