Head, PMEL Data Quality and Analytics at World Wide Fund for Nature (WWF) Kenya

Major Duties and Responsibilities

• Data Governance and Quality Assurance
• Lead the development and implementation of data governance standards and quality assurance mechanisms across WWF’s impact data systems, including Panda Impact and related platforms.
• Maintain and update the Compendium of Standard Indicators (CSI), ensuring methodological rigour, consistent definitions, and traceability across the network.
• Establish data validation processes that ensure comparability and reliability of indicator data across geographies and reporting streams (e.g., RM2030, GCD, GAR).
• Collaborate with GTDS to embed automated validation and data integrity checks into digital systems and workflows.
• Monitor data submissions from Country and Regional Offices to identify quality risks and provide targeted support to address data inconsistencies or gaps.
• Analytics, Insights, and Reporting
• Lead the development of analytics frameworks and models that convert raw data into decision-useful insights, supporting leadership, fundraising, and communications needs.
• Oversee the design and maintenance of global dashboards and analytical tools that visualise conservation performance and trends (e.g., Strategic Management Dashboard, RM2030 reporting).
• Partner with the Head of Conservation Impact to produce network-wide analytical briefs, impact summaries, and evidence-based insights for governance bodies and external reporting.
• Ensure consistency and coherence across analytical products and dashboards used by different divisions and offices.
• Indicator and Methodology Stewardship
• Manage the lifecycle of global indicators, from definition and validation through to application and periodic review, ensuring that methods remain scientifically credible and operationally feasible.
• Coordinate with the Global Science Team, Practices/PDD, Global Practice teams and Regional PMEL Leads to validate indicator methodologies and align them with WWF’s conservation models and standards.
• Maintain an accessible repository of indicator guidance, metadata, and supporting documentation for use by the Network.
• Collaboration, Capacity Building, and Support
• Provide technical guidance and support to Regional and Country Offices to strengthen data management, analytics, and reporting capability.
• Lead data quality clinics and training initiatives that build capacity in data verification, analytics, and interpretation.
• Foster collaboration with GTDS and other data teams to ensure integration and interoperability of impact data across WWF’s digital platforms.
• Serve as the focal point for internal data analytics communities and external partnerships on conservation data management and analytics innovation.
• Innovation and Continuous Improvement
• Stay abreast of emerging technologies, tools, and methods in data analytics and impact measurement to inform system improvements.
• Identify and lead opportunities for automation, predictive analytics, and AI-driven insights to enhance WWF’s evidence base and reduce manual reporting burdens.

Required Qualifications. 

• Professional experience in data analytics, data management, or impact measurement, ideally within a global or networked organisation.
• Advanced degree in conservation, social science, data science, PMEL or similar.
• Strong experience with PMEL frameworks, global indicator management, and results-based reporting.
• Strong understanding of data governance, quality assurance, and analytics as applied to conservation or international development.
• Experience managing large, complex datasets and analytics systems across multiple geographies and platforms.