R&D Senior Product Owner Data Governance and Semantics

As part of Chiesi’s R&D transformation, you will lead the data governance and semantics effort to maximize R&D data value. You will shape the semantic layer, metadata, and knowledge graph to enable trusted, discoverable data and AI-driven insights. You’ll collaborate with SMEs and IT to enforce governance and quality, driving a data-driven culture across R&D. This role offers visibility across clinical and GICT domains and a meaningful impact on research productivity and compliance.

• annual bonus scheme
• pension
• private medical insurance
• wellbeing programme
• flexible benefits programme
• remote working

• Lead semantic layer, data model, and ontologies to unify the R&D data ecosystem with a focus on clinical data domains
• Architect a knowledge graph integrating heterogeneous R&D data
• Ensure linked metadata and machine-readable glossaries for advanced data discovery and AI insights
• Develop and implement a comprehensive R&D data governance framework
• Define data stewardship policies, roles, and quality rules in line with governance policies
• Collaborate with functional SMEs to ensure data is defined and maintained per guidelines
• Promote ALCOA+/FAIR principles across data management
• Define product requirements, backlog, and roadmap for data sets delivered by engineering
• Monitor data quality KPIs and usage metrics; iterate on enhancements
• Establish data quality frameworks with validation rules, profiling, and anomaly detection
• Engage stakeholders and communicate governance value; mentor and balance priorities
• Establish metrics to track governance effectiveness and drive continuous improvement

• Advanced degree (Master’s/PhD) in Life Sciences, Data Science, or related field
• Minimum 5 years in R&D clinical domain
• Minimum 3 years in a Product Owner or similar strategic role with backlog management
• Strong background in data modeling techniques
• Experience in Pharmaceutical R&D or Life Sciences domain and regulatory needs preferred
• Proven hands-on solution design in complex R&D environments
• Strong knowledge of graph databases, semantic/ontology platforms (e.g., Neo4j, Snowflake)
• Experience with metadata tools (e.g., Informatica) and data quality management
• Agile product management skills; ability to write PRDs, roadmaps, and deliver iteratively
• Excellent communication and cross-functional leadership; fluent in English

• leadership without authority
• cross-functional collaboration
• strategic thinking
• graph databases
• semantic platforms
• ontology development