Senior Product Manager, Data Science Team at Digital Science & Research Limited

, , Germany -

Full Time

Start Date

Immediate

Expiry Date

14 Mar, 26

Salary

0.0

Posted On

14 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Data Strategy, AI/ML, Data Quality, Entity Resolution, Natural Language Processing, Data Technologies, Data Pipelines, Machine Learning, Data Science, Technical Fluency, Data Products, Collaboration, Experimentation, Roadmap Development, Stakeholder Engagement

Industry

Software Development

Description

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 strongly encourage you to submit your application. Living our Values We invest in, nurture and support innovative businesses and technologies that make all parts of the research process more open, efficient and effective. The talent we secure is fundamental to us achieving our vision and our growth plans. The values we live by are: We are brave in the pursuit of better We are collaborative and inclusive We are always open-minded We are 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. This ambitious mission is one we achieve together, by enabling open, collaborative, inclusive research. We firmly believe that to truly innovate and solve the complex challenges faced by our customers, from researchers and universities to funders and publishers, we need diverse perspectives, experiences, and ideas. A rich mix of voices drives quality insights, fosters enhanced collaboration, and ultimately pushes knowledge forward more effectively. As an equal opportunity employer, we are committed to building and nurturing a workplace where every individual feels valued and belongs. All applicants will be considered for employment without attention to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Beyond recruitment, we strive to cultivate an environment where inclusivity is woven into the fabric of our culture, enabling everyone to be their best self and do their best work.

Responsibilities

The Senior Product Manager will be responsible for the product strategy and execution of foundational data and AI services developed by the Data Science team. This includes defining requirements for data ingestion and quality, leading AI/ML product initiatives, and guiding the long-term strategy for data product areas.