Data and Analytics Lead (Africa) at KPMG South Africa

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 KPMG 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 competences within KPMG

 
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 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 KPMG’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 KPMG to tackle new and complex business problems with a data flavour.
•  Enthusiastic, driven and proactive