Data Quality Assurance Squad Lead

he ADE ASM Converter Development and Data Quality Assurance Squad Lead is responsible for leading the end-to-end delivery of ASM converters by driving requirements gathering, semantic modeling, validation, release readiness, and deployment activities. Partner with Scientists, SMEs, Semantic Engineers, vendors, and cross-functional teams to define converter requirements, align Allotrope schema and ontology mappings, and ensure delivery of compliant, high-quality ASM solutions. Oversee validation strategy, test automation, SDLC documentation, data integrity, and regulatory compliance while providing leadership to the validation squad, managing project risks and dependencies, and driving continuous improvement, standardization, and adoption of best practices across the ASM converter lifecycle.

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems, Biotechnology, or related fields, or equivalent professional experience.

8+ years of experience as a Product Analyst, preferably in the pharmaceutical industry.

Strong knowledge of data modeling, data mapping, data transformation, data quality, and traceability concepts.

Strong understanding of DPTM and DSCS domains.

Experience in data quality assurance: defining solution scope, requirements, acceptance criteria, validation approaches, and test scenarios based on business and data requirements.

Knowledge of laboratory systems (LIMS, Signals, lab instruments) and pilot plant/manufacturing systems (PI, Delta-V, SIPAT, MES).

Proficiency in SQL, Python/R, Excel, Power BI, and cloud platforms such as AWS.

Understanding of the software lifecycle, data lifecycle management, and data governance principles.

Experience partnering with non-technical stakeholders (business or science) to translate requirements into scalable data solutions.

Strong domain knowledge of drug discovery and drug development processes.

Demonstrated ability to manage and document risks, issues, dependencies, decisions, and stakeholder expectations throughout project delivery.

Proven leadership experience coordinating small technical teams, prioritising work, removing blockers, and driving execution against project milestones.

Experience collaborating with cross-functional teams including Business, Scientific SMEs, Engineering, Quality, Product, Architecture, and external vendors.

Experience with the pharmaceutical industry and drug discovery process; understanding of scientific data and laboratory workflows.

Proven experience leading data onboarding, integration, validation, migration, or transformation initiatives in complex business environments.

Prior experience with Allotrope data schemas (especially Allotrope Simple Model), Jira, VERA/XRAY, Confluence, Mural, and automated validation testing tools.