8 дней назад
R&D Senior Product Owner Data Governance and Semantics
59 000 - 74 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
R&D Senior Product Owner Data Governance and Semantics (Data Governance/Knowledge Graphs): Building a unified R&D data ecosystem with an accent on semantic layers, ontologies, metadata, knowledge graphs, and data quality frameworks. Focus on governing clinical data products, integrating automated quality monitoring into pipelines, and aligning scientific and GICT stakeholders around reliable, interoperable data.
Location: Europe — hybrid or remote
Salary: €59,000–€74,000 annually for roles located in Italy; compensation in other countries follows the applicable local market and internal frameworks.
Company
Chiesi is an international research-focused pharmaceutical and healthcare group operating in 31 countries with more than 7,000 employees.
What you will do
- Lead the semantic layer, data models, ontologies, metadata definitions, business glossaries, and knowledge graph for the R&D data ecosystem, with a focus on clinical data.
- Develop and implement the R&D data governance framework, including stewardship roles, ownership standards, policies, and FAIR and ALCOA+ principles.
- Own data products by defining requirements, prioritizing features, managing the backlog, and overseeing pipeline and schema changes with engineering teams.
- Establish data quality frameworks, validation rules, quality metrics, profiling, anomaly detection, and automated monitoring.
- Track product and governance KPIs and continuously improve policies, processes, and tools.
- Engage scientists, functional SMEs, GICT, and executives while balancing technical and business priorities.
Requirements
- Master’s or PhD in Life Sciences, Data Science, or a related field.
- At least 5 years of experience in an R&D clinical domain and hands-on experience designing solutions in complex R&D environments.
- At least 3 years of experience as a Product Owner or in a similar strategic role, managing product backlogs and roadmaps.
- Strong data modeling expertise and experience with pharmaceutical R&D or Life Sciences data flows and regulatory requirements.
- Experience with graph databases, semantic and ontology platforms such as Neo4j and Snowflake, metadata and governance tools such as Informatica, and data quality management.
- Fluent English required. Strong analytical, communication, stakeholder management, and influencing skills are also required.
Nice to have
- Experience in clinical, safety, or CMC data domains.
- Experience promoting data-driven culture and influencing without formal authority.
Culture & Benefits
- Hybrid and remote working options within Europe.
- Annual bonus scheme based on company and individual performance.
- Pension, private medical insurance, wellbeing programme, and flexible benefits programme.
- Continuous training, learning, and development opportunities.
- Support with relocation, tax assistance for foreign colleagues, and work-life balance initiatives.
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