Technical Product Analyst

Project overview

Project requirements

• end-to-end delivery of the ASM converter from requirements gathering, through semantic modeling and validation, to release readiness and deployment
• defining the scope of the converter, Merck Key Fields, scientific requirements, validation strategy, acceptance criteria, and test scenarios
• leading discovery and working sessions with Scientists, SMEs, and other stakeholders for data collection from laboratory instruments
• collaboration with Semantic Engineers and vendors on mapping instrument data to the Allotrope Ontology and defining semantic mappings and schema extensions
• coordinating converter development with vendors and technical teams according to scientific, technical, quality, compliance, and business requirements
• leading pre-validation activities including data sample review, semantic mapping validation, dry-run ASM assessments, and converter output verification
• leading and providing expert oversight to the Quality Engineering squad for source-to-target validation, data transformation verification, traceability testing, and converter quality evaluation
• reviewing validation results, test evidence, defects, and quality metrics to support release readiness
• leading defect triage, issue resolution, risk assessments, and planning of corrective actions throughout the converter's lifecycle
• coordinating test reviews, approval workflows, Jira traceability, audit readiness, and release sign-offs
• creating and revising SDLC documentation, mapping specifications, lifecycle documents, and validation artifacts
• managing risks and dependencies, and communicating status with Delivery Orchestrators, Product Owners, Business Leads, and other stakeholders
• leading and mentoring team members and promoting standards for ASM, Allotrope, semantic modeling, validation methodologies, and scientific data quality
• improving converter quality, validation efficiency, documentation standards, process standardization, and reusable validation artifacts
• ensuring compliance with Quality Engineering, SDLC, data integrity, data governance, and regulatory compliance requirements
• advanced experience with:
• minimum of 6 years of experience in Data Engineering, Data Integration, Data Management, or another data-focused role
• Data Quality Assurance including defining solution scope, requirements, acceptance criteria, validation approaches, and test scenarios according to business and data requirements
• leading small technical teams, prioritizing work, removing impediments, and managing execution according to project milestones
• experience with:
• collaborating with non-technical stakeholders from business or scientific environments and translating their requirements into scalable data solutions
• managing and documenting risks, issues, dependencies, decisions, and stakeholder expectations throughout the project
• collaborating across Business, Scientific SMEs, Engineering, Quality, Product, Architecture, and external vendors
• facilitation, communication, stakeholder management, and analytical problem-solving
• advanced knowledge of:
• data modeling, data mapping, data transformation, data quality, and traceability
• knowledge of:
• software lifecycle, data lifecycle management, and data governance
• university degree in Computer Science, Engineering, Data Science, Information Systems, Biotechnology, or a related field, or equivalent professional experience
• advantageous:
• experience in the pharmaceutical industry and drug development process
• experience with scientific data and laboratory workflows
• leading data onboarding, integration, validation, migration, or transformation initiatives in a complex business environment
• experience with Allotrope data schemas, especially the Allotrope Simple Model
• experience with Jira, VERA, Xray, Confluence, Mural, or automated validation testing tools

Project details

• Start: 01.11.2026 or by agreement
• Duration: 2 months with possibility of extension
• Location: Prague, CZ, CZ
• Languages: English