R&D Senior Product Owner Data Governance and Semantics (Europe - remote, IT)

About usBased in Parma, Italy, Chiesi is an international research-focused pharmaceutical and healthcare group with 90 years’ experience, operating in 31 countries with more than 7,000 employees (Chiesi Group). To achieve its mission of improving people’s quality of life by acting responsibly towards society and the environment, the Group researches, develops and markets innovative drugs in its main therapeutic areas: Discover more hereWe are proud to be the largest global pharmaceutical group to be awarded B Corp Certification, a recognition of high social and environmental standards. We are a reliable company that adopts and promotes a transparent and ethical behavior at all levels.We believe that the success of Chiesi is built and shaped by our people and our strong set of shared Values and Behaviors. Our people make a critical difference to our success, which is why it is vital that we attract and retain the right talent who will continue to enrich our culture by living and breathing our values and behaviors.In fact, we are a global family made up of different cultures, different genders, generations, ethnicities, abilities, sexual identities and many other enriching diversities. Chiesi Research & DevelopmentOur R&D team represents a fundamental asset for the business. It is divided into integrated functional areas focusing on pipeline projects including discovery and preclinical research, global technical development, drug delivery technology, clinical development, regulatory affairs, pharmacovigilance, intellectual property, quality assurance, R&D project and portfolio management. Headquartered in the new purpose-built and fully integrated Research and Development Centre in Parma (Italy), the team also has important operations in Paris (France), Chippenham (UK), Cary (US), Stockholm (Sweden), Toronto (Canada) and Shanghai (China).Who we are looking forJob ContextAs part of Chiesi’s global R&D transformation, we are building a unified R&D Data Ecosystem anchored by the creation of a next-generation central repository, data governance, and semantic platforms. This strategic initiative aims to bring together people, platforms, and processes to establish a trusted, connected, and intelligent data foundation for entire R&D. By harmonizing data products enablement, governance, and semantics, we will enable consistent understanding and interoperability of scientific and operational data across domains, empowering insights, and cross-functional collaboration—turning fragmented information into a strategic asset. The R&D Data Strategy, Enablement & Governance will oversee the management and governance of Chiesi's R&D data ecosystem and facilitate the entire cultural shift within R&D.PurposeThe R&D senior product owner Data governance and semantics will lead data knowledge management strategy and execution for data governance and semantics to maximize the value of R&D Data. This role is both strategic and hands-on: you will define the semantic and quality aspect of the R&D Data Pipeline through metadata definitions, Data Catalogues creation, ontologies, knowledge graph and quality observability that make R&D data organized, discoverable and reliable. In collaboration with R&D functional SME and GICT, you establish and enforce governance processes, ensuring that R&D Data Pipeline is consuming high quality Data to drive new insights. Your influence will span scientific, and GICT teams as you champion a data-driven culture across R&D.Main Responsibilities1. Semantic & Knowledge Strategy: - Lead the creation of semantic layer, data model, and ontologies that unify R&D data ecosystem with focus on clinical data domains. - Architect a knowledge graph that integrates heterogeneous R&D data. - Ensure metadata and business glossaries are linked and machine-readable, enabling advanced data discovery and AI-driven insights. 2. R&D Meta Data and Standardization: - Develop and implement a comprehensive R&D data governance framework. - Define policies, standards and best practices for data stewardship (roles, ownership, quality rules). - Work closely with functional SME (e.g. clinical, safety, CMC) to ensure data is defined, documented and maintained according to governance policies aligned with Chiesi Global guideline. - Promote adoption of ALCOA+/FAIR principles. 3. Data Product Ownership: - Define product requirements, prioritize features, and manage the backlog for data sets delivered by the engineering team. - Collaborate with engineers to oversee pipeline and schema changes so that outputs meet the needs of end users. - Monitor product KPIs (data quality scores, usage metrics) and iterate on enhancements. 4. Data Quality Management: - Establish R&D data quality frameworks: set validation rules, quality metrics and automated monitoring to ensure integrity of critical data. - Integrate data quality checks (profiling, anomaly detection) into pipelines and alert stewards on exceptions. 5. Stakeholde