Own the vision and lifecycle of trading and data products, partnering with engineering, data science, and game operations to improve pricing, optimize trading processes, and grow user engagement.
Data Product Manager - OpenData Europe
📜 Description
- Own the product plan and strategy, scaling the product’s customer footprint.
- Set data strategy for sourcing, transforming, updating, and analyzing country datasets.
- Turn market needs into a roadmap for data engineering, analytics, and product operations teams.
- Identify opportunities to use AI and automation to build scalable, high-quality data pipelines.
- Gather customer feedback with strategy, sales, and services teams and continuously improve the product.
- Set KPIs for data coverage, completeness, and accuracy, and adapt the roadmap to regulatory and market changes.
🛠️ 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.
- 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.
Full job description
The Role
Our vision for Veeva OpenData is to become the global leader in reference data for the life sciences industry. The world's top pharma and biotech companies use our data as the foundational layer for their commercial and medical operations
This means the data products you build will directly accelerate getting life-saving treatments to patients. As a Public Benefit Corporation (PBC), we balance purpose with profit, operating with a culture of extreme autonomy, speed, and ownership.
We are looking for an entrepreneurial data professional to step into the Data Product Manager role in the OpenData Europe team. The role is fully remote in the UK, Germany, or Spain. Travel expected: 10%.
If you have a strong technical foundation in data analytics or engineering and are tired of just pulling data to fulfill tickets, this is your chance to own the roadmap. You won't just oversee data pipelines; you will lead product strategy, identify new market opportunities, and lead cross-functional execution from end to end.What You’ll Do
Requirements
Nice to Have
Interviewing with Veeva
- A conversation with the hiring manager
- A practical case exercise
- A final conversation with our group's Senior Leader.
Compensation
Similar jobs
Search more Product Manager jobsOwn the custody and DeFi product roadmap for fintechs, brokers, and corporates, shaping flexible custody options and driving institutional product launches, customer adoption, and revenue outcomes.
Enable data products that support pricing, underwriting, actuarial analysis, and claims by defining trusted metrics, shaping useful datasets, and partnering with data engineering to deliver them.
Own and grow an assigned NGS DNA product portfolio by translating customer and market needs into product strategy, guiding cross-functional development and commercialization, and managing product lifecycle performance.
Atue como Product Owner na customização de um ERP educacional, priorizando demandas de vários clientes e conduzindo requisitos, especificações e entregas em parceria com engenharia.
