Learning & Knowledge specialist
KPN
Opdrachtomschrijving
As part of a big data mesh transformation program, we are introducing a new data platform and a new data operating model. We are looking for a Learning & Knowledge Specialist to develop and manage a central knowledge base that enables data teams across the organisation to understand, adopt and effectively work with the new platform and ways of working.
You will translate complex technical concepts, processes and organisational changes into accessible, practical knowledge and learning materials, ensuring teams have the guidance and capabilities they need to become self-sufficient.
Key responsibilities
* Build the knowledge base: Develop and maintain a structured, accessible knowledge repository covering the data platform, architecture, standards, processes, roles and responsibilities.
* Develop onboarding journeys: Create role-based onboarding materials, learning paths, tutorials, how-to guides, FAQs and practical playbooks for data teams.
* Explain the new operating model: Translate data mesh principles, data ownership, data product management, governance and collaboration models into clear, actionable guidance.
* Enable knowledge sharing: Facilitate knowledge-sharing sessions, capture best practices and lessons learned, and connect experts across the data community.
* Drive continuous improvement: Keep knowledge resources up to date, identify knowledge gaps and improve learning materials based on feedback and adoption needs.
Experience and skills
* Experience in knowledge management, learning design, technical documentation or organisational enablement.
* Proven ability to develop structured knowledge bases and engaging learning materials.
* Strong communication skills and the ability to translate complex topics into clear, practical guidance.
* Understanding of data management, data platforms and preferably data mesh concepts, including data products, data ownership and data governance.
* Experience working in technology transformation or large-scale organisational change programmes.
* Familiarity with tools such as Confluence, SharePoint and digital learning platforms.
* Strong stakeholder management skills and the ability to work with technical experts and business teams.
What success looks like
* A comprehensive, accessible and well-maintained knowledge base and training material repository.
* Clear onboarding and learning journeys for different data roles.
* Improved understanding of the new platform, operating model and associated responsibilities.
* Data teams becoming increasingly self-sufficient in adopting and using the new platform.
* A sustainable culture of knowledge sharing and continuous learning across the data community.
Your ultimate goal is to make knowledge accessible, accelerate onboarding and enable data teams to confidently embrace the new data platform and operating model.
De eisen
- 1Minimaal 3 tot 5 jaar werkervaring met het ontwerpen, structureren en beheren van centrale kennisbanken, documentatie repositories of technische leerpaden/onboardingprogramma's.
- 2Bewezen ervaring met werken binnen complexe IT-, cloud- of data-transformatieprogramma's waarin organisatie- en procesveranderingen centraal stonden.
- 3Aantoonbaar vermogen om complexe technische architectuur, processen en governance-modellen om te zetten in toegankelijke, praktische handleidingen, playbooks en how-to gidsen.
- 4Concrete hands-on ervaring met toonaangevende documentatie- en kennisplatforms zoals Confluence en SharePoint.
De wensen
- 1Inhoudelijk begrip van concepten zoals data products, data ownership, data governance en federated computational governance.
- 2Ervaring met het opzetten van data-communities of 'communities of practice', inclusief het faciliteren van interactieve workshops en peer-to-peer leersessies.
- 3Bekendheid met geavanceerde leertools of digital adoption platforms (zoals WalkMe, 360Learning of vergelijkbare platforms) naast standaard wiki-omgevingen.
- 4Ervaring met het opereren in Agile-, Scrum- of productgeoriënteerde teams, bij voorkeur binnen data- of platformteams.
Hoe werkt het?
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