R&D Senior Product Owner Data Governance and Semantics

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/Ph

D) 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