R&D Senior Product Owner Data Governance and Semantics

12 ore fa

trento, trentino alto adige, Italia Chiesi Tempo pieno
Overview

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.

Retribuzione / Benefits
  • annual bonus scheme
  • pension
  • private medical insurance
  • wellbeing programme
  • flexible benefits programme
  • remote working
Responsabilità
  • 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
Requisiti fondamentali
  • 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