[Job Vacancy] Data and Analytics Lead (Africa) at KPMG

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KPMG is a global network of independent professional services firm with deep expertise in the provision of audit, tax and advisory services to clients in various industries and sectors of the economy. The Firm is well represented in Nigeria and across the African continent, with the objective of providing exceptional and quality services to multinational, regional and local clients and to enhance the product offerings in certain previously under-serviced markets.

We are recruiting to fill the position below:

Job Title: Data and Analytics Lead (Africa)

Location: Lagos, NigeriaJob type: Full-time

Description and Purpose of the Job

At KPMG, you’ll find a world of opportunity, where our people give clients and communities the insights, they need to build a sustainable future.
We seek an experienced individual with a strong track record in building AI, ML and Deep Learning algorithms to help our clients harness the power of data. This is a Pan Africa role with responsibility for leading a team across the continent.
*This resource will be based in either Johannesburg , Nairobi or Lagos.*

Key ResponsibilitiesStrategy:

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
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
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.

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

Qualifications Experience, and Skills

Bachelor’s or Master’s Degree in a relevant field such as Computer Science, Statistics, Mathematics, or related fields
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

Skills and attributes required for the role:

Being a self-starter and able to work independently including across multiple priorities and complex matrixed roles and responsibilities
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
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.

How to ApplyInterested and qualified candidates should:Click here to apply