Posted 3 months ago

Project Management Jobs, World Wide Fund for Nature Jobs.

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.

Required Skills And Competencies.

Professional experience in data analytics, data management, or impact measurement, ideally within a global or networked organisation.
Strong technical expertise in data analysis and visualisation software (e.g., Power BI, Tableau, R, Python, SQL).
Proven experience designing and implementing data governance frameworks and quality assurance systems.
Excellent analytical and conceptual thinking skills, with the ability to synthesise complex datasets into actionable insights.
Strong project management and organisational skills, with attention to accuracy, detail, and timeliness.
Excellent interpersonal and communication skills, with demonstrated ability to collaborate across multicultural teams and bridge technical and non-technical audiences.
Experience leading and mentoring technical teams and fostering capacity across distributed teams.
Commitment to WWF’s values: Courage, Integrity, Respect, and Collaboration.

How to Apply

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