Senior Product Manager, Data Science Team

Department: Product

Employment Type: Full Time

Location: Europe, Remote

Description

About us
We are Digital Science and we are advancing the research ecosystem. We are a pioneering technology company, and our vision is of a future where a trusted and collaborative research ecosystem drives progress for all. We believe in better, open, collaborative and inclusive research. In creating the next generation of tools and working in partnership with the community we tackle some of the biggest challenges to research. In order to achieve our vision, we need innovative, inspiring and dynamic people to join our team. Want to join us?

Your new 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. This role is crucial for ensuring the quality, completeness, and utility of the core data assets (Publications, Researchers, and Classifications) that drive the entire Dimensions platform.
You will thrive at the intersection of data, AI, and product strategy, working 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:

• Publications Data: 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.
• Researcher Profiles: Own the strategy for building and maintaining our curated Researcher Profiles dataset, leveraging AI/ML-based entity resolution and disambiguation techniques.
• Be the champion for 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 to the role

• 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.
  
  

Don't worry if you don't meet every qualification—let us be the judge! Studies show that many qualified candidates from under-represented groups hesitate to apply unless they meet every single requirement. We are dedicated to building a diverse and inclusive team and stro