Head of Data Analysis and Management at Kenya Tea Development Agency (MS) Ltd

Position scope

Reporting to the Group Finance Director, the successful candidate will be responsible for leading KTDAs, group data strategy, governance, and analytics functions and ensuring that data is collected, stored, managed, and analyzed effectively to support evidence-based decision-making, operational efficiency, and strategic growth across KTDA and its subsidiaries.

Duties and Responsibilities

• Developing and implementing KTDA’s data management and analytics strategy in alignment with corporate objectives
• Establishing data governance frameworks, standards, and policies to ensure data quality, accuracy, integrity, and security
• Overseeing compliance with legal, regulatory, and ethical requirements in data management
• Leading advanced data analytics, modeling, and forecasting to support business planning and operational decisions
• Providing actionable insights on production, supply chain, market trends, farmer engagement, and financial performance
• Championing the adoption of modern data analytics tools and business intelligence platforms
• Driving digital transformation initiatives, including data automation, big data, and AI-enabled decision-making
• Ensuring integration of data systems across subsidiaries to provide a single source of truth
• Tracking key performance indicators (KPIs) and providing reports to senior leadership and the Board
• Conducting scenario analysis, trend monitoring, and risk modeling to guide strategic planning
• Supporting continuous improvement by using data to identify gaps, inefficiencies, and opportunities
• Building and leading a high-performing team of data analysts, scientists, and information managers
• Engaging with external stakeholders (regulators, partners, and researchers) to benchmark KTDA against industry best practices

 Qualifications/Skills/Experience

• Bachelor’s Degree in Data Science, Statistics, Computer Science, Economics, Business Analytics, or related field
• Master’s degree in data science and related field an added advantage
• Professional certifications in Data Analytics, Big Data, BI Tools (e.g., Power BI, Tableau, SQL, Python, R) are an added advantage
• Minimum 10 year’s progressive experience in data management/analytics, with at least 5 years at senior management level
• Proven track record in data governance, analytics, and business intelligence in a complex organization
• Strong technical expertise in data analysis, data warehousing, and predictive modeling
• Excellent understanding of data governance, privacy, and compliance frameworks
• Ability to transform complex datasets into simple, actionable insights
• Strong leadership, project management, and communication skills
• Integrity, analytical thinking, and commitment to KTDA’s farmer-first philosophy