Remote, WorldwideRemote

Data Quality Squad Lead

About

The 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.

Responsibilities

Define converter scope, validation strategy, acceptance criteria, test scenarios, and release readiness requirements for ASM converter onboarding.
Drive alignment across Scientific, ADE, Quality Engineering, Product, and Vendor teams to ensure successful converter onboarding, validation, and release readiness.
Ensure delivered ASM converters meet scientific, technical, quality, compliance, and business objectives.
Provide leadership and mentorship to team members while promoting best practices in ASM, Allotrope standards, semantic modeling, validation methodologies, and scientific data quality.
Lead continuous improvement initiatives focused on converter quality, validation efficiency, documentation standards, process standardization, and reusable validation assets.
Promote risk-based decision-making and quality-focused delivery throughout the ASM converter lifecycle.

Requirements

Bachelor's or master's degree in computer science, Engineering, Data Science, Information Systems, biotechnology, or related fields, or equivalent professional experience.
6+ years of experience in Data Engineering, Data Integration, Data Management, or related data-focused roles.
Strong knowledge of data modeling, data mapping, data transformation, data quality, and traceability concepts.
Experience on data quality assurance: defining solution scope, requirements, acceptance criteria, validation approaches, and test scenarios based on business and data requirements.
Understanding the software life cycle, data lifecycle management, and data governance principles.
Experience partnering with non-technical stakeholders (business or science) to understand external domains and a demonstrated ability to translate business or scientific requirements into scalable data solutions.
Demonstrated ability to manage and document risks, issues, dependencies, decisions, and stakeholder expectations throughout project delivery.
Strong analytical, problem-solving, facilitation, communication, and stakeholder management skills.
Proven leadership experience coordinating small technical teams, prioritizing work, removing delivery blockers, and driving execution against project milestones.
Experience collaborating with cross-functional teams, including Business, Scientific SMEs, Engineering, Quality, Product, Architecture, and external vendors.

Nice to have

Experience with pharmaceutical industry and drug discovery process. Experience in understanding 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, automated validation testing tools.

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2 weeks noticeImmediate1 month notice

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