Senior Product Manager, Data Science Team

Senior Product Manager, Data Science Team

Join Digital Science as a Senior Product Manager in the Data Science team.

We are Digital Science, a technology company advancing the research ecosystem. Our vision is to build an open, collaborative and inclusive research ecosystem that fuels progress for all.

Department: Product
Location: Europe, Remote

About the Role

You will be a technically‑minded and strategically focused Senior Product Manager responsible for the product strategy and execution of the foundational data and AI services developed by the Data Science team. You will work closely with Data Scientists and AI Engineers to translate advanced techniques (entity resolution, semantic similarity, generative enrichment) into trusted, scalable data assets. This position reports to the VP of Data Products.

What You’ll Be Doing

Data Strategy & Quality

• Define requirements for the ingestion, cleaning, normalization, and integration of raw publications data, and partner with Data Science to establish rigorous metadata extraction and data quality standards.
• Own the strategy for building and maintaining our curated Researcher Profiles dataset, leveraging AI/ML‑based entity resolution and disambiguation techniques.
• Champion data quality, asking sophisticated questions about precision, recall, and potential bias in models.

AI/ML Product Leadership

• Lead the roadmap for Machine Learning and AI methods used for document augmentation (classification, concept extraction, topic modeling).
• Work with Data Scientists to understand the performance and trade‑offs of AI models, translating insights into concrete product improvements.
• Develop a multi‑year roadmap for transitioning from rule‑based data enrichment to adaptive AI systems.

Vision & Execution

• Guide the long‑term strategy, vision, and roadmap for your data product areas, ensuring contributions to revenue growth and competitive advantage.
• Lead the end‑to‑end data product development lifecycle, from ideation to launch.
• Establish frameworks for rapid experimentation with AI models (A/B testing, drift monitoring) and champion responsible AI practices.

Stakeholder & GTM

• Collaborate with stakeholders on go‑to‑market plans for product initiatives.
• Assist the Commercial & Business Operations team with writing and reviewing RFP responses.

What You’ll Bring

• Previous experience as a Product Manager, with a dedicated focus on data products, data platforms, or core data services.
• Technical fluency in ML/AI: strong interest and hands‑on experience or deep familiarity with the application of Machine Learning, AI, and Natural Language Processing (NLP) for data enrichment (classification, entity resolution).
• Demonstrated experience working directly with Data Science and Machine Learning teams, understanding the AI model development lifecycle.
• Technical fluency in data technologies and concepts (e.g., SQL, data warehousing, data pipelines, model evaluation metrics).
• Data quality ownership: proven ability to define and enforce rigorous data quality standards within complex data pipelines.
• Excellent ability to synthesize complex, technical information into clear, actionable requirements and compelling business cases.

We encourage candidates who do not meet every qualification to apply. We are dedicated to building a diverse and inclusive team.

Living our Values

• Brave in the pursuit of better
• Collaborative and inclusive
• Always open‑minded
• From and for the community

At Digital Science, our vision is to see research flow seamlessly—trusted, collaborative, and accessible—fueling breakthroughs that push humanity forward.

As an equal‑opportunity employer, we consider all applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, veteran, or disability status.