Data Product Specialist — Roche

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At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position The Data Products Specialist plays a key role in shaping and delivering analytics-ready data products that accelerate evidence generation and insight delivery. Sitting under the Data Product Lead, you will collaborate with engineering, governance, and domain teams to define data product specifications, design data pipelines, and ensure product usability and compliance. You will help translate scientific and operational needs into structured, scalable data products that enable reuse and facilitate insight generation across PD. This role requires strong experience in data modeling, product thinking, and an understanding of cross-functional data workflows in R&D.

• You support the development and maintenance of curated datasets and data marts used for clinical and operational insights
• You build proficiency in translating user needs into data product requirements, specifications, and roadmaps
• You understand organizational needs and data challenges that drive the need for foundational data products that improve interoperability, reusability, and downstream analysis
• You assist with data ingestion, cleaning, and standardization processes under the guidance of senior colleagues
• You participate in implementing and testing transformations to ensure data consistency, traceability, and alignment with business rules
• You document data sources, assumptions, and transformations to promote transparency and reuse
• You build relationships with business stakeholders and end-users to advocate for data products, fostering trust and enhancing value
• You contribute to troubleshooting data quality issues and collaborating with engineering or product partners to resolve blockers
• You contribute to KPIs and usage metrics tracking for continuous improvement Who you are:
• You hold a Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, Bioinformatics, or a related technical discipline
• You have a minimum of 2-4 years of experience working with structured data in support of analytics or reporting use cases, or an advanced degree with 0-2 years of equivalent work experience
• You have working knowledge of SQL or Python and familiarity with data versioning or ETL tools
• You are able to learn quickly in a cross-functional environment and contribute to multiple projects in parallel
• You demonstrate capacity for independent thinking and ability to make decisions based upon sound principles
• You bring excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond the technical domain
• You demonstrate respect for cultural differences when interacting with colleagues in the global workplace
• You have excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language Preferred:
• Experience in biomedical data use cases and familiarity with basic data modeling concepts
• Exposure to cloud-based tools or version control systems (e.g., Git, Airflow, S3)
• Strong communication and documentation skills, including the ability to clearly explain datasets to end users
• Ability to work within Agile frameworks, including SAFe, to drive iterative development, cross-functional collaboration, and efficient backlog management
• Experience applying product management principles to data assets with observed contributions to data product design and implementation across orga