Background information about the job or company (e.g., role context, company overview)

Indigenous Kenyans were barred by law from growing tea until the dawn of independence when the legislation was repealed for the indigenous people to commence on tea growing. In 1960, the colonial government created the Special Crops Development Authority (SCDA) to promote growing of tea by Africans under the auspices of the ministry of Agriculture. After ...

Responsibilities or duties

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 or requirements (e.g., education, skills)

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

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

Experience needed

Minimum 10 year’s progressive experience in data management/analytics, with at least 5 years at senior management level

• 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

• Data analysis
• Data warehousing
• Predictive modeling
• Data governance
• Privacy and compliance frameworks
• Transforming complex datasets into simple, actionable insights
• Leadership
• Project management
• Communication skills
• Integrity
• Analytical thinking

• 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