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Remote role, popular Product Manager title, metro location and reputable pharma brand increase candidate competition despite niche supply-chain data requirements.
High due to domain-specific supply chain and regulated pharma (GxP) expertise required.
Mandated 8+ years, extensive technical toolset, and regulatory/GxP experience raise strictness.
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Own and design end-to-end Supply Chain data models from ingestion to business consumption across planning, manufacturing, and logistics.
Translate business requirements into standardized, scalable, governed data structures and semantic layers for trusted analytics and digital supply chain use cases.
Collaborate with engineering and business teams to ensure data quality, compliance (including GxP), reuse of assets, and scalability of data products and integration solutions.
Bachelor’s or higher degree in Computer Science, Information Systems, or related field.
8+ years of experience in data engineering, architecture, and platform delivery, including ETL and integration solutions.
Experience with data governance and regulatory compliance frameworks, preferably in pharma/biotech or regulated environments.
Proficiency with cloud platforms (Azure, AWS), data tools (Databricks, IBM DataStage, Synapse), programming (Python, PySpark, SQL), and automation (Azure DevOps, CI/CD).
Experienced in complex data platform delivery across multiple industries or regulated domains, with leadership in end-to-end project execution.
Strong domain knowledge bridging supply chain data, integration, and digital initiatives like AI and digital twins.
Operates effectively in collaborative, hybrid work environments while managing stakeholders across regions and time zones.