Group Director, Data and Analytics at Equity Bank Kenya

Role Purpose:

As the Director of Data and Analytics, you will lead the Group’s data governance, engineering, analytics, and data science enablement function. You will execute a comprehensive data strategy, build, and lead a high-performance data team, design and maintain a robust data infrastructure. Your responsibilities will also include enabling advanced analytics for strategic decision-making and ensuring data privacy and compliance. You will be responsible for building a data stack and enable our teams to explore product and financial data for self-serve analytics purposes. It is the responsibility of the Director of Data and Analytics to build a focused data team covering data governance, data engineering, data analytics, and data science (including the enablement of Machine Learning and Artificial Intelligence models), with effective cross-functional collaboration with the Business and Information Technology teams.

Job Responsibilities

• Develop and execute a comprehensive data strategy aligned with the Equity Group’s business objectives.
• Oversee data management, warehousing, integration, and migration; business intelligence; analytics; quality and delivery across advisory and technical projects.
• Designing and maintaining a robust data infrastructure to enable building data products as well as company-wide analytics and reporting.
• Leveraging advanced analytics tools to derive meaningful insights that drive strategic decision-making.
• Collaborating with cross-functional teams to understand data needs and align product development, analytics, data science, and Machine Learning/Artificial Intelligence efforts with business goals.
• Ensuring data privacy and compliance with relevant regulations.
• Staying up to date with industry trends and emerging technologies, incorporating innovations into Equity Group's data practices.
• Develop Machine Learning and deep learning algorithms that help teams to improve their predictive capabilities significantly.
• Develop data models and roadmaps that improve processes and add strategic value to the business.
•  Champion a data-driven culture by fostering collaboration between data teams and business units.
• Lead the recruitment, development, and management of a talented data team (data analysts, data scientists, data engineers).
• Partner with key stakeholders across the organization to identify business needs and translate them into actionable insights.
• Develop and implement data governance policies and procedures to ensure data accuracy, integrity, and security.
• Build and maintain relationships with key vendors and partners in the data ecosystem.
• Track and measure the success of data initiatives through key performance indicators (KPIs).
• Communicate complex data concepts and findings to both technical and non-technical audiences.

Qualifications:

• Bachelor’s degree in computer science, Information Systems, Statistics, or a related field.
• Master’s degree in computer science, Finance & Banking MIS, or Information Management, operations management
• Excellent knowledge of Information Science, Data, Data Systems and Processes.
• Excellent Project Management, analytical, problem solving and reporting skills
• A good knowledge of the information requirements and standard reporting within Financial Services industry
• Minimum 12 years' work experience, with over 5 years working in a senior level Data Management role.
• Vast experience in building and leading data science organization or practices as well as successful experience in advocating for data analytics value across a business and to diverse audiences.
•  Proven track record of leading and building high-performing data teams.
• Strong understanding of data governance best practices and data security principles.
•  Experience developing and implementing a data strategy.
• Experience working with a variety of data tools and technologies (e.g., data warehouses, data lakes, business intelligence tools).
• A keen understanding of business needs and the ability to translate data insights into actionable strategies.