The Product Development Automation Lead plays a key role in renewing the research and production strategy of Wageningen Food Views (WFV). This role focuses on developing and implementing AI solutions that accelerate and automate the calculation of scores within various Food Views products. The position operates within DSI’s central metadata‑driven data architecture, where data quality, governance, version control and traceability are essential principles.The Automation Lead combines AI expertise with a strong understanding of data management and workflow‑driven processing, developing sustainable automation solutions that can be deployed across the WSER‑wide data infrastructure.
The Product Development Automation Lead works closely with data scientists, domain experts and product teams to establish a new standard for data‑driven insights in the food and sustainability sector, fundamentally transforming the WFV business model.
Your key tasks and responsibilities: -
Develops and implements AI‑driven automation solutions
Builds and integrates AI components (e.g. classification, extraction, validation, semantic enrichment) within DSI’s metadata‑driven architecture to accelerate and standardise calculations, scoring models and data processing. -
Designs and maintains scalable dimensional data models
Responsible for designing, maintaining and applying dimensional data models that translate research and production data into consistent, traceable and reusable datasets, improving the data quality of WFV products. -
Standardises and optimises research and production processes
Develops sustainable automation patterns reusable across multiple research and product domains, structurally reducing research costs while increasing update frequency and product coverage. -
Works closely with data scientists, domain experts and product teams
Aligns with researchers, business development and the Data & AI Expertise Team; translates substantive needs into technical solutions and contributes to an integrated WSER‑wide data infrastructure. -
Contributes actively to the strategic growth of Wageningen Food Views
Deploys AI technology to replace repetitive work, improves the quality and reliability of indicators and scores, and directly contributes to the scalability, innovation capacity and market impact of WFV.
Your TeamThe new colleague will work within the DSI team of WSER and participate in the core team of Wageningen Food Views. You will collaborate with researchers, domain experts, business development, and the data management team (AI expertise, data scientists, and product teams). The role is an integral part of WSER’s central data and AI infrastructure.
Your WorkplaceWageningen Social & Economic Research (WSER) employs around 390 staff across locations in The Hague, Wageningen and Lelystad, as well as several smaller regional offices. They work within 11 research teams on multidisciplinary projects tackling complex socio‑economic challenges, such as climate, healthy and safe food, sustainable living environments and sustainable incomes in the Netherlands and beyond.
One of these 11 teams is Data Science and Information Management (DSI).
DSI (approx. 30 colleagues) specialises in Data Science, Business Informatics, Digital Governance, Digital Innovation Ecosystems, Data‑Driven Business Models, and the Ethical, Legal & Social Aspects of AI. DSI collaborates with all other research groups on market‑oriented research within WSER’s broad domain. Together with other WSER groups, DSI works nationally and internationally for governments, NGOs and the business community.