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Tier-1 employer, mid-level product role, metro location, and generalist title drive high applicant competition.
Role requires product and data-platform experience with regulated-industry preference, making cross-industry fit moderately constrained.
Explicit degree alternatives plus a five-year minimum and product/data platform expectations create strict shortlisting filters.
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Lead prioritization and delivery of data and analytics platform capabilities supporting scalable data access, governed analytics, and AI use cases in Process Development.
Own end-to-end product vision, roadmap, backlog, and delivery ensuring solutions are scalable, maintainable, and aligned with enterprise standards.
Drive UAT, business validation, release readiness, monitor performance and usage to inform continuous improvement and adoption of new platform capabilities.
Master's degree with 3 years relevant experience OR Bachelor's degree with 5 years relevant experience required.
Experience owning or supporting data, analytics, or digital platform products in complex enterprise environments mandatory.
Understanding of data platforms, pipelines, metadata, governance, analytics workflows and cloud ecosystems like Databricks, Redshift, or Snowflake required.
Work Experience Required: 3 to 5 years relevant experience depending on degree level.
Experienced in managing data and analytics platform products in biotechnology, pharmaceuticals, or regulated industries preferred.
Strong ability to partner across business, technical, and delivery teams to synthesize feedback into actionable backlog items and prioritize effectively.
Demonstrated capability with Agile delivery, product management practices, and familiarity with AI/machine learning workflows and cloud data ecosystems.