The Role
Own and evolve data products supporting pharmaceutical Development Sciences and Clinical Supply. Gather requirements, define business rules, create logical data models, mappings, schemas, metadata, and lineage, and support data lifecycle management. Analyze laboratory and scientific data from LIMS, Signals, and related platforms while collaborating with scientists, engineers, architects, QA, and product teams. Support Agile delivery, UAT, documentation, data quality, governance, and GxP compliance.
Summary Generated by Built In
This is a remote position.
We are seeking a Data Product Analyst with a strong background in Development Sciences, Clinical Supply, and Data Product Management to join our dynamic team. The ideal candidate will bridge business and technology by translating scientific and operational requirements into scalable data products, with a focus on laboratory data, logical data modeling, data lifecycle management, and enterprise data integration.
Data Product Management
- Partner with Development Sciences and Clinical Supply stakeholders to define and evolve data products supporting scientific and laboratory processes.
- Own the analysis and definition of data requirements, business rules, and data lifecycle processes across multiple enterprise platforms.
- Facilitate workshops with scientists, laboratory users, and business stakeholders to gather business requirements and use cases.
- Translate business needs into functional specifications, user stories, data mapping documents, and acceptance criteria following SDLC best practices.
- Analyse scientific and operational data originating from systems such as LIMS, laboratory instruments, Signals, and other research platforms.
- Develop and maintain logical data models, data mappings, schemas, metadata definitions, and documentation supporting enterprise data products.
- Define source-to-target mappings, data lineage, and transformation rules in collaboration with architects and engineering teams.
- Support end-to-end data lifecycle management, including data ingestion, validation, quality, governance, lineage, and retention.
- Collaborate with Data Engineering teams to ensure reliable integration of laboratory and manufacturing data into enterprise platforms.
- Work closely with Product Managers, Data Engineers, Architects, Scientists, QA, and Software Engineers throughout the product lifecycle.
- Support backlog refinement, sprint planning, UAT, and release activities.
- Produce and maintain high-quality business documentation, process models, logical data models, mapping specifications, metadata documentation, and analytical deliverables.
- Ensure all data products and analytical processes comply with GxP, data integrity principles, and applicable pharmaceutical regulations.
Requirements
- Bachelor's degree in Life Sciences, Data Science, Computer Science, Business, or a related field.
- 5+ years of experience as a Product Analyst, Data Product Analyst, Data Product Manager, or similar role within the pharmaceutical or life sciences industry.
- Strong understanding of Development Sciences and Clinical Supply business processes.
- Experience with Data Product Management.
- Experience with Logical Data Modeling, Data Mapping, Schema Design, and Metadata Management.
- SQL, Databricks, AWS, Python
- Experience working with laboratory systems such as LIMS, Signals (ELN), or similar scientific platforms.
- Understanding of Data Lifecycle Management, Data Governance, Data Quality, and Data Lineage.
- Experience gathering requirements and translating them into technical specifications for engineering teams.
- Strong stakeholder management and communication skills.
- Experience working within Agile/Scrum delivery teams.
Benefits
- Location: Remote
- Contract Type: Freelance / Contract
- Start date: October, 2026
- Time Allocation: 40 hours/week
- Global Pharmaceutical Company in Prague
Skills Required
- Bachelor's degree in Life Sciences, Data Science, Computer Science, Business, or a related field
- 5+ years of experience as a Product Analyst, Data Product Analyst, Data Product Manager, or similar role within the pharmaceutical or life sciences industry
- Strong understanding of Development Sciences and Clinical Supply business processes
- Experience with Data Product Management
- Experience with logical data modeling, data mapping, schema design, and metadata management
- Proficiency with SQL, Databricks, AWS, and Python
- Experience with laboratory systems such as LIMS, Signals (ELN), or similar scientific platforms
- Understanding of data lifecycle management, data governance, data quality, and data lineage
- Experience gathering requirements and translating them into technical specifications for engineering teams
- Strong stakeholder management and communication skills
- Experience working within Agile/Scrum delivery teams
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The Company
What We Do
futureproof s.r.o. is a Czech consulting and staffing firm focused on data, analytics, cybersecurity, and IT infrastructure. It provides contract and permanent staffing, team augmentation, time-and-material resources, and specialist or lead placements, while also offering expert consulting through a network of architects and project leaders. The company emphasizes niche technical expertise, trusted relationships, continuous learning, and long-term value for clients.
