Centum is East Africa's leading investment company listed on the Nairobi Securities Exchange and Uganda Securities Exchange. We are an investment channel providing investors with access to a portfolio of inaccessible, quality, diversified investments. Our Key objective is to consistently generate market beating returns by building extraordinary enterpr...

Key Responsibilities

• Develop and execute enterprise Data, Management Information (MI) and Decision Intelligence strategy.
• Establish a single source of truth for operational, workforce, recruitment, client and financial reporting.
• Lead the development of executive dashboards and business intelligence solutions using Power BI and related technologies.
• Drive data engineering, integration and governance across multiple systems, platforms and client accounts.
• Deliver predictive analytics, scenario modelling and forecasting capabilities to support strategic planning and performance management.
• Identify and implement automation opportunities that improve efficiency, reporting accuracy and business outcomes.
• Partner with operational and commercial leaders to generate actionable insights that enhance service delivery, resource utilization and profitability.
• Provide analytical support to drive capacity planning, staffing optimization, recruitment planning and operational performance.
• Leverage advanced analytics to improve forecasting accuracy and support business growth initiatives.
• Ensure compliance with data privacy, information security and data governance requirements.
• Build and lead a high-performing team of data, business intelligence and analytics professionals.

Qualifications & Experience

• Bachelor’s degree in data science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Economics, Actuarial Science, or a related quantitative discipline.
• A master’s degree in data Analytics, Data Science, Business Intelligence, Information Systems, Artificial Intelligence, or Business Administration (MBA) will be an added advantage.
• Professional certifications in Microsoft Power BI, Azure Data Engineering, Azure Solutions Architecture, AWS Analytics, Databricks, Snowflake, Tableau or related technologies are desirable.
• Minimum of 10 years' experience in Data Analytics, Business Intelligence, Data Engineering, Management Information (MI) or Decision Intelligence, with at least 5 years in senior leadership role.
• Proven experience leading enterprise-scale data, analytics, reporting and business intelligence functions within a contact centre, BPO, customer experience, telecommunications, financial services or similarly complex operational environment.
• Demonstrated success developing and implementing enterprise data strategies that support operational performance, workforce optimization, client delivery, commercial growth and executive decision-making.
• Strong experience in Power BI, executive dashboards, data visualization, management information reporting, data architecture, data warehousing, ETL processes and cloud-based analytics platforms.
• Proven expertise in predictive analytics, forecasting, scenario modelling, capacity analytics, revenue reporting and operational performance measurement.

• Develop and execute enterprise Data, Management Information (MI) and Decision Intelligence strategy.
• Establish a single source of truth for operational, workforce, recruitment, client and financial reporting.
• Lead the development of executive dashboards and business intelligence solutions using Power BI and related technologies.
• Drive data engineering, integration and governance across multiple systems, platforms and client accounts.
• Deliver predictive analytics, scenario modelling and forecasting capabilities to support strategic planning and performance management.
• Identify and implement automation opportunities that improve efficiency, reporting accuracy and business outcomes.
• Partner with operational and commercial leaders to generate actionable insights that enhance service delivery, resource utilization and profitability.
• Provide analytical support to drive capacity planning, staffing optimization, recruitment planning and operational performance.
• Leverage advanced analytics to improve forecasting accuracy and support business growth initiatives.
• Ensure compliance with data privacy, information security and data governance requirements.
• Build and lead a high-performing team of data, business intelligence and analytics professionals.

• Power BI
• Azure Data Engineering
• Azure Solutions Architecture
• AWS Analytics
• Databricks
• Snowflake
• Tableau
• data visualization
• management information reporting
• data architecture
• data warehousing
• ETL processes
• cloud-based analytics platforms
• predictive analytics
• forecasting
• scenario modelling
• capacity analytics
• revenue reporting
• operational performance measurement

• Bachelor’s degree in data science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Economics, Actuarial Science, or a related quantitative discipline.
• A master’s degree in data Analytics, Data Science, Business Intelligence, Information Systems, Artificial Intelligence, or Business Administration (MBA) will be an added advantage.
• Professional certifications in Microsoft Power BI, Azure Data Engineering, Azure Solutions Architecture, AWS Analytics, Databricks, Snowflake, Tableau or related technologies are desirable.
• Minimum of 10 years' experience in Data Analytics, Business Intelligence, Data Engineering, Management Information (MI) or Decision Intelligence, with at least 5 years in senior leadership role.
• Proven experience leading enterprise-scale data, analytics, reporting and business intelligence functions within a contact centre, BPO, customer experience, telecommunications, financial services or similarly complex operational environment.
• Demonstrated success developing and implementing enterprise data strategies that support operational performance, workforce optimization, client delivery, commercial growth and executive decision-making.
• Strong experience in Power BI, executive dashboards, data visualization, management information reporting, data architecture, data warehousing, ETL processes and cloud-based analytics platforms.
• Proven expertise in predictive analytics, forecasting, scenario modelling, capacity analytics, revenue reporting and operational performance measurement.