Product Manager, Data Platform - Evinova
Tasks
- Apply clinical and pharmaceutical regulatory requirements
- Build AI ready data platform capabilities
- Communicate product direction tradeoffs and outcomes
- Coordinate cross-functional stakeholder alignment
- Create epics user stories and acceptance criteria
- Create product strategy and roadmap
- Define and track KPIs
- Define data platform product vision
- Define data quality standards and enforce them
- Ensure GxP documentation accuracy and readiness
- Ensure pipeline reliability and integration performance
- Lead discovery and delivery sessions
- Run experimentation to iterate and improve
- Translate stakeholder needs into requirements
Perks/Benefits
Skills/Tech-stack
21 CFR | 21 CFR Part 11 | AI machine learning | APIs | Amazon Web Services | Azure | CDISC | CFR Part 11 | Clinical data | Cloud Platforms | Cloud platform | Data Architecture | Data Pipelines | Data Quality | Event Driven | Event-driven architecture | Experimentation | FHIR | Google Cloud | Google Cloud Platform | GxP | Integration Patterns | Interoperability | KPI Tracking | Machine Learning | Machine Learning Workflows | Part 11 | Pharmaceutical Data | Real-World Data | Streaming Data | Streaming data pipelines | Web Services
Education
Roles
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