Senior Content Governance & Knowledge Specialist

Job description

CONTENT QUALITY FRAMEWORKS AND PROCESS You'll own and continuously improve AI-assisted ex ante and ex post quality-assurance processes across the lifecycle of unstructured content and knowledge assets, from creation to retirement. Combine preventive standards and monitoring to improve accuracy, consistency, completeness, and trustworthiness. You'll also define and maintain measurable AI-readiness criteria and certification for unstructured content and knowledge assets, covering structure, metadata, ownership, currency, accessibility, and semantic clarity. Apply them across priority repositories and content types to qualify trusted sources for search, retrieval, and agentic AI. STRUCTURED CONTENT AND AI-ASSISTED CREATION You'll own machine-readable templates and AI assisted authoring standards for priority content types, including policies, procedures, guidelines, knowledge articles, and contracts. Convert business, governance, metadata, and structural requirements into reusable templates that improve authoring consistency and enable automated validation, classification, retrieval, and AI reuse. Furthermore, you'll establish and drive adoption of standards and guardrails for AI-assisted content creation, including approved use cases, authoring guidance, prompt patterns, human review, source traceability, and quality controls. Work with content communities, domain experts, content owners, Data & AI Science, and IT to embed them in workflows without compromising accuracy, compliance, ownership, or editorial accountability. INSIGHTS, MONITORING AND CONTINUOUS IMPROVEMENTS You’ll own persona-based reporting across priority repositories and domains for framework owners, content managers, content owners, and content editors. Define indicators for quality, ownership, lifecycle, usage, compliance, and AI-readiness, and provide actionable dashboards for prioritisation, governance decisions, and accountability. You'll also monitor unstructured content and knowledge assets against agreed standards, identify systemic gaps and root causes, and coordinate corrective action with content owners, business communities, domain experts, Data & AI Science, and IT. Track remediation and use insights to improve governance, quality checks, templates, training, and platform capabilities. GOVERNANCE, OWNERSHIP AND COMMUNITY ENABLEMENT You'll operate a federated governance model for unstructured content and knowledge assets across priority repositories and domains. Define decision rights, ownership, accountability, escalation paths, lifecycle controls, and minimum quality requirements, embedding them consistently in repository processes and platforms. You'll build and coordinate business content communities of framework owners, content managers, content owners, and content editors. Provide guidance, training, reusable standards, and collaboration forums, working with domain experts, Data & AI Science, and IT to drive adoption, share practices, and resolve cross-functional governance issues. TAXONOMY, ONTOLOGY AND SEMANTIC MANAGEMENT You'll operate operate taxonomy and ontology management for unstructured content and knowledge assets across priority repositories and domains. Define modelling standards, semantic ownership, approval, versioning, and maintenance so controlled vocabularies, concepts, relationships, classifications, and metadata remain consistent, interoperable, and aligned with business terminology. You'll partner with domain experts, content owners, Data & AI Science, and IT to develop and extend machine-readable semantic models using RDF, OWL, SKOS, and SHACL. Translate business concepts and relationships into governed structures supporting metadata enrichment, classification, knowledge graphs, semantic search, retrieval-augmented generation, and reliable agentic AI. INNOVATION AND CONTINUOUS IMPROVEMENT You'll champion continuous innovation by monitoring emerging practices, technologies, and market developments in content governance, knowledge management, and agentic AI. Regularly assess the effectiveness of implemented solutions, identify opportunities for optimisation, and translate relevant advances into scalable improvements that keep platforms, processes, and standards effective, user-focused, and aligned with state-of-the-art capabilities. Proven knowledge of W3C standards, OWL, RDF, SKOS, SHACL, SPARQL, and OKF (Open Knowledge Format). Proven programming skills in Python and/ or SQL. Proven experience in establishing content quality assurance processes for agentic AI. A good understanding of data quality, process quality, and the role of structured content in AI-enabled knowledge retrieval. Strong communication skills and the ability to work with different business functions and stakeholder groups, explain concepts, and implement solutions. Ability to translate business needs into ontologies, clear content structures, governance rules, and practical standards. Experience in content governance, knowledge management, intranet management, digital workplace, enterprise content management, or a related field. Experience working with Power BI is an advantage. Experience in creating ontologies and/or knowledge graphs using AI tools. Practical experience with AI-enabled content workflows, semantic search, automated classification, metadata enrichment, or the development of AI features for knowledge platforms is an advantage. An analytical mindset, with the ability to assess content performance, identify gaps, and drive improvements. Experience in project management and the ability to manage external partner resources effectively. Due to legal reasons, we are obliged to disclose the minimum salary according to the collective agreement for this position, which is € 2,509 gross per month. However, our attractive compensation package is based on market-oriented salaries and is therefore significantly above the stated minimum salary. As an employer, we value diversity and support people in developing their potential and strengths, realizing their ideas and seizing opportunities. We believe passionately that employing a diverse workforce is central to our success. We welcome applications from all members of society irrespective of age, skin colour, religion, gender, sexual orientation or origin. You'll shape how AI is applied to create, structure, classify, govern, and continuously improve enterprise knowledge, with a primary focus on unstructured content and knowledge assets. It strengthens access to trusted knowledge across the organisation by: advancing content governance and lifecycle processes for the corporate intranet and quality-assured document and contract management systems; enabling content communities through clear ownership, standards, and practical guidance; and by establishing AI-readiness standards for content structures, taxonomies, metadata, ontologies, and content management practices. The role does so in close collaboration with IT architects, IT service owners, Data & AI Science, and business communities.