Technical Product Analyst

LinkGroup operates in the data and technology domain.

• Bachelor's or Master's degree in Computer Science, Data Science, Biotechnology, or a related field (or equivalent experience).
• 6+ years in Data Engineering, Integration, or Management with hands-on experience in data modeling, mapping, transformation, data quality assurance, and traceability.
• Deep understanding of the Software Development Life Cycle (SDLC), data governance principles, and data lifecycle management.
• Proven track record leading technical teams, removing delivery blockers, managing project risks, and translating complex scientific/business needs into scalable technical solutions.
• Exceptional analytical, problem-solving, facilitation, and stakeholder management skills in cross-functional environments.

• Define converter scopes, acceptance criteria, test scenarios, and release readiness requirements aligned with internal SDLC, data governance, and Quality Engineering standards.
• Lead discovery sessions with Scientists and SMEs to capture key data fields.
• Partner with Semantic Engineers to map instrument outputs to Allotrope Ontologies and oversee vendor development.
• Guide the Quality Engineering squad through source-to-target data validation, sample dry runs, defect resolution, Jira traceability, and audit readiness.
• Facilitate communication across Business, Product, Engineering, and Vendor teams to manage dependencies, resolve delivery risks, and mentor team members.
• Drive process standardization by creating reusable validation assets, improving documentation quality, and embedding risk-based decision-making across the converter lifecycle.