Data Product Manager - OpenData Europe

🔒 Confidential Employer
Posted 23 April 2026
LOCATION
Remote
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

SQL Data Analytics Product Management Data Strategy Data Engineering Customer Feedback Healthcare Regulations Data Quality

FULL DESCRIPTION

What You’ll Do

- Own the Product Plan: Serve as the end-to-end owner for the designated product, actively scaling its customer footprint and driving product strategy. - Architect the Data Strategy: Make the critical, high-level product decisions governing how we source, transform, update, and analyze country datasets to maximize customer value. - Innovate & Execute: Translate market needs into a strategic roadmap for dedicated squads of data engineers, analysts, and product operations. You will actively identify opportunities to leverage AI and automation to build data pipelines that scale with quality. - Drive Customer Success: Partner directly with strategy, sales, and services teams to gather customer feedback, iterate rapidly, and ensure the product is continuously improving. - Champion Data Excellence: Set and enforce rigorous KPIs for data coverage, completeness, and accuracy, maximizing data quality. - Navigate Complex Markets: Stay ahead of healthcare regulations, compliance requirements, and market shifts, adapting the product roadmap to turn market complexity into a competitive advantage.

Requirements

- Speed & Quality Focus: A detail-oriented professional who executes with speed and quality. - Experience: 2+ years of experience in data analytics or product management, with a proven track record of extracting value from complex datasets. - Ruthless Prioritization: Strong product intuition with the ability to manage a backlog, balancing long-term product scope, strict data quality standards, and customer feedback. - Technical Fluency: Proficient in SQL. You don't just rely on dashboards; you can query the database directly to investigate issues, validate data quality, and prototype solutions. - Educational Foundation: Bachelor’s degree in Computer Science, Information Management, Mathematics, Statistics, Physics, or a related quantitative field. - Communication: Fluent in English (C1 or higher), enabling you to effectively manage global stakeholders and translate complex technical concepts into business strategy.

Nice to Have

- Life Sciences Expertise: Experience building data products specifically for the life sciences industry, spanning data sources, data modeling, sourcing, analysis, and delivery. - Business proficiency (B2 or higher) in an additional language (e.g., French, German, Polish, Arabic), with an emphasis on complex languages and non-latin alphabets.

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