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
  

• 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