AI & Analytics

Responsibilities:

Your responsibilities will include: 

Strategy:

• Provide technical data & analytics support to the Africa digital transformation team.
• Leverage regional alliances with technology partners (e.g. Microsoft, Oracle, IBM, AWS, Google, etc) to drive proactive leads generation, joint pitch, pipeline management, and conversions as they relate to data analytics.
• Work with relevant functional areas and service lines across the Firm to deliver on client engagement and sales initiatives.
• Leverage local and global company artefacts, SMEs, and other network assets to advance the firm’s data & analytics agenda.
• Manage, coach, and grow the ML engineering and data science team.
• Embed data & AI in everything we do – meaning that you will also be responsible for exploring and improving collaboration with different competencies within the organization.

Client Impact:

• Drive business growth of the Data & Analytics business across Africa through expansion of ML engineering pipeline and wins at leading clients.
• Oversee data management, warehousing, integration, and migration; business intelligence; analytics; and delivery across advisory and technical projects.
• Lead the development and implementation of data and advanced analytics strategies for clients across Africa. 
• Develop ML and Deep Learning algorithms that help clients improve their predictive capabilities significantly.
• Design, develop, maintain and improve machine learning algorithms for the clients' products.
• Help clients to employ machine learning principles in making business decisions.
• Test and evaluate machine learning models and algorithms on real-world data sets.
• Collaborate with the Data & Analytics (D&A) team to build data pipelines, implement and train models based on results of experiments.
• Interact with business leaders and functional experts to understand current and future business challenges and needs and help with solutioning.
• Provide subject matter expertise on data-related topics as well as consultative guidance for data management and governance.
• Develop data models that improve processes and add strategic value to the client’s business.
• Stay up to date with industry trends and emerging technologies in data and analytics to ensure we provide clients with the latest and most effective solutions.
• Work closely with clients to understand business needs and develop tailored solutions.
• Strengthen the organization’s share of mind in the D & A space through impactful thought leadership.

Finance:

• Deliver on targets and goals (including sales goals).
• Provide annual budget input for the area of responsibility for approval and integration into service line/ growth area budget.
• Manage the annual budget, including costs for designated area.

Requirements: 

Qualifications Experience & Skills.

• You’re a strong candidate if you have: 
• Bachelor’s or master’s degree in a relevant field such as computer science, statistics, mathematics, or related fields.
• A minimum of 5 O’ Level credits (including English and Mathematics)
• Minimum of 10 years’ experience in AI and ML engineering with a proven track record of delivering successful projects.
• Deep knowledge of programming languages and frameworks such as Python, Java, C++, R, and SQL.
• Deep hands-on experience with modern Data & AI Platforms such as Azure, AWS or GCP.
• Practical experience with tools like Git/Github for version control, Jenkins for continuous integration, and Docker for containerization.
• Deep understanding of data and analytics technologies, including data warehousing, data integration and data visualization.
• Good understanding of statistics, probability theory, and computer science fundamentals like algorithms and data structures.
• Pre-sales experience with OEMs or consulting experience will be an added advantage.
• Being a self-starter and able to work independently including across multiple priorities and complex matrixed roles and responsibilities.
• Confident, tactful and able to effectively influence others and deal effectively with senior leaders.
• Strong communicator, including listening skills with an ability to translate insights across business and technology teams and to develop and present new ideas and conceptualize new approaches and solutions.
• Strong team and work ethic, comfortable with ambiguity, change and challenge.
• Interested in the bigger picture and able to think broader than own capabilities.
• Ability to connect with the right complimentary people in the organization to tackle new and complex business problems with a data flavour.
• Enthusiastic, driven and proactive.