Technical Product Analyst

• 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.
• Strong 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.
• Ability to translate complex scientific and business needs into scalable technical solutions.
• Exceptional analytical, problem-solving, facilitation, and stakeholder management skills in cross-functional environments.

Converter Strategy & Validation:

• Define converter scopes, acceptance criteria, test scenarios, and release readiness requirements aligned with internal SDLC, data governance, and Quality Engineering standards.

Requirements & Semantic Mapping:

• Lead discovery sessions with Scientists and SMEs to capture key data fields.
• Partner with Semantic Engineers to map instrument outputs to Allotrope Ontologies.
• Oversee vendor development.

Quality Oversight & Defect Triage:

• Guide the Quality Engineering squad through source-to-target data validation, sample dry runs, defect resolution, Jira traceability, and audit readiness.

Cross-Functional Leadership:

• Facilitate communication across Business, Product, Engineering, and Vendor teams.
• Manage dependencies, resolve delivery risks, and mentor team members in best practices.

Continuous Improvement:

• Drive process standardization by creating reusable validation assets.
• Improve documentation quality.
• Embed risk-based decision-making across the converter lifecycle.