The Organisation
Plan International is an independent development and humanitarian organisation that advances children’s rights and equality for girls. We believe in the power and potential of every child but know this is often suppressed by poverty, violence, exclusion and discrimination. And it is girls who are most affected.
Working together with children, young people, supporters and partners, we strive for a just world, tackling the root causes of the challenges girls and vulnerable children face. We support children’s rights from birth until they reach adulthood and we enable children to prepare for and respond to crises and adversity. We drive changes in practice and policy at local, national and global levels using our reach, experience and knowledge.
For over 85 years, we have rallied other determined optimists to transform the lives of all children in more than 80 countries.
We won’t stop until we are all equal.
Plan International is seeking a specialist to establish, operationalise and continuously improve its data governance, data quality and analytics enablement capabilities across a global organisation.
This hands‑on role translates strategic direction into practical frameworks, standards and processes, ensuring data across Snowflake, DBT, Power BI, SAP and other enterprise systems is accurate, trusted, well‑defined and consistently used.
The Opportunity
Sitting within the global Data & Analytics function, you will build and maintain core governance assets including the Data Dictionary, Master Data definitions, Chart of Accounts, Reporting Catalogue, metadata standards, reporting standards and quality controls. You will play a key role in driving adoption of data products, documentation standards and structured change practices across a network spanning more than 80 countries.
The role strengthens organisational accountability by ensuring data is governed, discoverable and accessible, enabling evidence‑based decision‑making, transparent reporting and consistent analytics at scale.
You will work closely with Data Engineering, Reporting & Analytics, IT, Enterprise Architecture, business functions and external partners. While the role has no direct reports, it requires strong collaboration, ownership and influence.
Key responsibilities include
- Implementing and operating enterprise data governance, metadata and data quality frameworks
- Building and maintaining governance assets such as the Data Dictionary, Master Data definitions and Reporting Catalogue
- Embedding governance policies, standards and naming conventions across the data and reporting landscape
- Supporting the design and rollout of reporting frameworks, standards and roadmaps
- Producing clear, high‑quality documentation to support adoption, continuity and self‑service
- Driving adoption through training, communication and structured change activity
- Supporting controlled change and release management for data and reporting assets
- Contributing to the Data Governance Centre of Excellence through standards, guidance and continuous improvement
Skills and experience
You will bring:
- A relevant degree or experience in data governance, data quality, metadata management or analytics enablement
- Hands‑on experience with modern data platforms and reporting tools, including Snowflake, DBT and Power BI
- Strong documentation skills, with the ability to clearly describe data flows, processes and technical concepts
- Experience developing and delivering training for non‑technical audiences
- The ability to translate business needs into structured governance and documentation artefacts
- Excellent organisational and written communication skills
- The confidence to work independently, take initiative and drive implementation
- Cultural sensitivity and experience working with international, multicultural teams
- A solid understanding of governance principles including accountability, structure and alignment to business needs
Desirable experience includes professional certifications in data governance or analytics, experience in the development or humanitarian sector, and familiarity with data cataloguing, metadata or MDM tools.
