Child & Community Impact Narrative & Data Specialist
With 75 years of experience, our focus is on helping the most vulnerable children overcome poverty and experience fullness of life. We help children of all backgrounds, even in the most dangerous places, inspired by our Christian faith.
Come join our 31,000+ staff working in nearly 100 countries and share the joy of transforming vulnerable children’s life stories!
Key Responsibilities:
As the Child & Community Impact Data Specialist, you will define and drive the strategic evolution of World Vision’s sponsorship impact intelligence ecosystem-shaping how child and community impact is translated into compelling, sponsor-facing engagement experiences globally.
You will lead the design and implementation of integrated impact intelligence frameworks that connect child sponsorship data, programme outcomes, and storytelling into scalable, AI-enabled engagement experiences across 30+ markets.
Working in close partnership with global marketers and internal systems teams, you will support sponsor engagement, acquisition, and retention by ensuring high-quality data, system readiness, and efficient, automated storytelling solutions.
This role plays a critical part in strengthening the sponsorship experience by ensuring it is grounded in credible, connected evidence of change-capturing the story of both the child and their community.
You will lead cross-functional collaboration to design, deliver, and continuously improve impact data frameworks that meet the needs of Support Offices, field teams, and sponsors worldwide, while advancing the transition from static reporting to dynamic, data-driven storytelling.
As part of a global team, you will help enable children and their communities to share their stories, while empowering sponsors to better understand and connect with the impact they help create.
MAIN RESPONSIBILITIES
- Strong experience in monitoring, data design, and impact storytelling -especially in development or humanitarian contexts.
- A collaborative and systems-oriented mindset, with a proven ability to utilise emerging technology to automate processes and coordinate across diverse stakeholders and technical teams.
- A passion for using data to communicate change, uplift voices, and connect supporters with meaningful progress in communities.
- Design Impact Intelligence & Narrative Systems Lead the collaborative design of registered child (RC) and programmatic impact data based on customer insights, field innovation, and evolving Support Office requirements. Architect modular data-to-story frameworks and a transition roadmap from legacy processes to AI-enabled impact systems. Translate indicators into narrative building blocks. Enable AI-assisted storytelling pipelines and quality assurance of generated stories.
- Coordinate Data Delivery Oversee the end-to-end process of collecting, validating, and delivering sponsor-ready impact data to ensure consistency, timeliness, and alignment with global standards.
- Integrate Child & Community Data Co-develop a fully integrated approach to combine RC monitoring with programme activity monitoring-delivering a holistic ‘child in community’ impact narrative.
- Drive Continuous Improvement Lead ongoing enhancements to data quality, systems, and delivery processes that promote simplification, performance, and deeper alignment with World Vision’s programming work.
KNOWLEDGE, SKILLS, AND EXPERIENCE
- Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, International Development, or equivalent.
- 7+ years’ experience in data transformation and/or automation, or data science, statistics, engineering, or mathematics.
- Hands-on experience in developing end-to-end data pipelines or automating repetitive data tasks.
- Strategic systems thinking across marketing and data ecosystems.
- Experience leading enterprise-scale data, digital transformation, or impact intelligence initiatives across complex global organizations.
- Demonstrated ability to define strategic frameworks and operationalize scalable global capabilities.
- Proven success influencing senior stakeholders across technical, marketing, product, and operational functions.
- Experience in prompt engineering for generative AI, AI output validation and risk mitigation, automated narrative systems, and business analytics. Proven experience applying AI/ML to real-world data products or content generation.
- Experience translating data into emotionally compelling narratives via content strategy or digital storytelling.
- Experience in working across cultures and within complex organizational structures.
- Analytical skills, catalyst for improvement and innovation, problem-solving involving multiple disciplines.
- High attention to detail, ability to work with technical experts and teams, as well as marketers, to achieve optimal results.
- Flexible and willing to travel per World Vision policy.
- Knowledge of Child Sponsorship and development programming, preferably with World Vision.
PREFERRED EXPERIENCE
- Outstanding written and verbal communication abilities, with proven experience in executive reporting and updates.
- Skilled in stakeholder engagement across cultures, time zones, and organisational levels.
- Highly proficient in Excel, Power BI, Microsoft Word, PowerPoint, Smartsheet. Desired: Any experience in Python, SQL, Bash/Shell scripting, Prefect, Luigi, dbt, or cloud services such as AWS.
Applicant Types Accepted:
Local Applicants OnlyWorld Vision is a Christian humanitarian organisation with a mission centred on following Jesus Christ in service to the world´s most vulnerable children. Therefore, in all locations to the fullest extent legally permissible, the successful applicant will affirm our core documents, observe conduct compatible with Christian principles, serve at a high level of professional ethics and strive to act in accordance with cultural sensitivities. Furthermore, regular attendance with team and office devotions, chapel and prayer gatherings are expected in line with policies in the World Vision host location and its departments.