Head of Business Intelligence & Analytics at Equity Bank

Role Purpose

This role sits in the IT department under the Data Strategy and Analytics function. The Head of Business Intelligence & Analytics is responsible for driving the Groups data-driven decision-making agenda by leading the design, development, and delivery of enterprise-wide BI solutions, management of the data warehouse & data lakehouse, analytics capabilities, and actionable insights. The role oversees BI Developers, Data Analysts, and Data Analytics Engineers at different seniority levels, ensuring high-quality data products that support business growth, operational efficiency, timely delivery of reports, customer experience, and regulatory reporting.

Role Responsibility

Strategic Leadership

• Define and execute the Bank’s Business Intelligence & Analytics strategy in alignment with the Group Data Strategy and overall business priorities.
• Champion a data-driven culture across all subsidiaries, enabling leadership and business units to make informed decisions.  
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• Team & Capability Management
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• Lead and mentor a multi-disciplinary team of BI Developers, Data Analysts, and Data Analytics Engineers.
• Establish best-practice standards for data modelling, dashboarding, data quality, analytics methodologies, and data storytelling.
• Drive skills development, innovation, and cross-functional collaboration within the analytics community.  
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• BI & Analytics Delivery
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• Oversee the design, development, and maintenance of reports, dashboards, and self-service analytics tools across the Group.
• Ensure timely delivery of insights to support strategic initiatives such as branch performance, pricing, digital channels, risk monitoring, customer behavioral analytics and so on.
• Lead the consolidation of Group-wide reporting across subsidiaries (Kenya, Rwanda, Uganda, Tanzania, South Sudan, DRC).  
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• Technology & Architecture
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• Own the BI tools roadmap (e.g., Power BI, Tableau, Qlik, OBIEE, etc.).
• Partner with IT Infrastructure, Cloud, and Data Engineering teams to ensure scalable, secure, high-performance data platforms.
• Manage the delivery of data marts, data warehouse and data lakehouse solutions.  
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• Business Insights
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• Periodically generate business insights for the business teams with the goal of creating measurable value.
• Partner with business stakeholders to provide data answers to problems presented. 

Role Qualifications.

• Bachelor’s degree in Computer Science, Information Systems, Statistics, Engineering, or related field; Master’s preferred.
• 10+ years of experience in Business Intelligence, Data Analytics, or Data Warehousing, with 5+ years in leadership roles.
• Proven experience leading multi-disciplinary data teams in a financial institution or large enterprise.
• Strong knowledge of SQL, python programming skill, data modelling, ETL/ELT, BI tools, analytics platforms, and cloud data architectures.
• Understanding of banking processes, regulatory reporting, and financial KPIs is highly desirable.
• Strategic and Analytical thinking.
• Strong leadership and people development.