R&D Data & Process Lead

IFF; Denmark; On-site; DKK 700,000 - 1,100,000; Full time

Job summary

IFF Campus Brabrand seeks an experienced R&D Data and Process Lead to orchestrate the information architecture for our global innovation network. You will map data flows, define standards, and govern data across R&D, Analysis, and Applications, ensuring tools and systems are interconnected and sustainable.

You will partner with scientists, application specialists, IT, and business stakeholders to simplify workflows, reduce duplication, and deliver end‑to‑end data solutions.

Qualifications

• Master's degree required in Information Science or a related field.
• Several years of experience with business systems and data management.
• Excellent communication and facilitation skills.
• Ability to translate technical concepts into business language.

Responsibilities

• Define and maintain the information architecture for R&D, Analysis, and Applications.
• Document data flows and governance across innovation workflows.
• Collaborate with scientists, IT, and stakeholders to improve data products.
• Evaluate tools and ensure alignment with architectural principles.
• Create training materials and guidance to increase adoption of standards.
• Partner with IT on requirements and project coordination.

Skills

Information architecture

Data governance

Data management

Stakeholder collaboration

Process mapping

Education

Master's degree in Information Science or related field

Job description

Job Summary

IFF Campus Brabrand is an innovation powerhouse in food ingredients, and we are part of a global network of sites. Our product development (R&D) and customer-facing food application teams are at the forefront of innovation, dedicated to helping our customers succeed with differentiating ingredients and top-notch technical expertise and support.

As our technical and digital landscape continues to grow, we are looking for someone who can help bring structure, clarity, and consistency to how information, systems, and data are organized across our global innovation community.

We are seeking an R&D Data and Process Lead who will work at the intersection of science, technology, and business processes to help build and maintain the foundational information architecture for our R&D and Application organization, ensuring that systems, tools, and data are connected and used effectively.

You will work closely with scientists, application specialists, technical experts, system owners, and IT colleagues to document how information flows through our innovation processes, define standards and best practices, and ensure our digital ecosystem evolves and can be maintained in a coherent and sustainable way.

This is a hands‑on role for someone who enjoys understanding how people work, mapping processes and systems, creating structure, driving implementation and delivering value. Success will depend as much on your ability to collaborate and build relationships as on your technical and analytical capabilities.

The Position

We are looking for a highly collaborative professional who can help establish and maintain the information architecture that supports our innovation processes.

Your primary responsibility will be to create and own a unified vision of our R&D data, systems, integrations, and digital workflows. You will continuously improve this landscape, and help technical teams to understand where information resides, how it moves between systems, and how it should be governed.

Working closely with business stakeholders and scientists across our global innovation community, you will identify opportunities to simplify workflows, improve information quality, reduce duplication, and strengthen connections between tools.

You will partner closely with the IT team on architectural decisions and implementation activities. While larger integrations and platform developments are delivered by dedicated IT teams and external partners, you will play an active role in defining requirements, coordinating stakeholders, supporting projects, and ensuring alignment with agreed architectural principles.

A significant portion of your time will be spent engaging with technical experts across R&D and Applications globally. You will seek to understand how they work, what information they need, what challenges they face, and how digital solutions can better support their work. You will help deliver smaller data and reporting solutions end‑to‑end, define when these prototypes need larger data solutions and manage this transition and implementation by dedicated developer teams.

Over time, you will become a trusted advisor on the R&D digital ecosystem and a central point of contact for information architecture, systems overview, and digital best practices within the function.

Responsibilities and Tasks

• Develop, maintain, and continuously improve the information architecture for R&D, Analysis, and Applications


• Create and maintain a clear overview of R&D systems, tools, integrations, and data flows


• Document how data is created, used, shared, and governed throughout innovation workflows


• Establish and maintain metadata standards, data definitions, and information management best practices


• Collaborate with scientists and technical experts to understand workflows and identify opportunities for data products that create value


• Support digital and IT projects by helping define requirements, documenting processes, and coordinating stakeholders


• Work closely with the IT team to ensure architectural alignment and consistency


• Help evaluate new tools and solutions to ensure they fit within the broader R&D digital ecosystem


• Monitor adherence to agreed standards and promote best practices for data and information management


• Create training materials, guidance documents, and communication materials to increase awareness and adoption


• Act as a bridge between food scientists, technical experts, business stakeholders, and IT teams


• Support the development and maintenance of system inventories, process maps, architecture documentation, and digital roadmaps

Qualifications

• Master's degree in Information Science, Data Science, Engineering, IT, Computer Science, or a related field


• Several years of experience working with business systems, information management, digital transformation, data management, or related disciplines


• Excellent communication and facilitation skills


• Ability to translate technical concepts into language that business and scien