Technical Product Analyst

About the Position

We are seeking a Technical Product Analyst to lead the end-to-end delivery of ASM converters in a remote role.

Responsibilities

General 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.
• Ensure adherence to Merck Quality Engineering, SDLC, data governance, and compliance requirements.

Day-to-Day Responsibilities

• Lead requirements for Instrument data gathering, discovery, and working sessions with Scientists, SMEs, and stakeholders to define converter scope, Merck Key Fields, and scientific requirements.
• Collaborate with ADE Semantic Engineers and vendor teams to map instrument data to Allotrope Ontology and define required semantic mappings and schema extensions.
• Coordinate converter development activities with vendors and technical teams to ensure alignment with scientific, business, and quality requirements.
• Lead pre-validation activities, including sample data reviews, semantic mapping validation, dry-run ASM assessments, and converter output verification.
• Lead and provide oversight to the Quality Engineering squad performing source-to-target validation, data transformation verification, traceability testing, and converter quality assessments.
• Review validation results, test evidence, defects, and quality metrics to support delivery and release readiness.
• Lead defect triage, issue resolution, risk assessments, and remediation planning throughout the converter lifecycle.
• Coordinate validation governance activities, including test reviews, approval workflows, Jira traceability, audit readiness, and release sign-offs.
• Author and review SDLC documentation, mapping specifications, lifecycle documents, and validation artifacts.
• Partner with Delivery Orchestrators, Product Owners, Business Leads, and stakeholders to communicate status, manage dependencies, and resolve delivery risks and issues.

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.

We Offer

• Remote work opportunities
• Competitive compensation
• Professional growth and development

About the Company

We are a leading company in the pharmaceutical industry, dedicated to advancing scientific research and improving healthcare outcomes. Join our team and contribute to impactful projects that shape the future of medicine.