Data & AI Portfolio Manager
New
United StatesFull-TimeSenior
SalaryUSD 275000 - 300000 / year
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Job Details
- Experience
- 15+ years
- Required Skills
- Cloud ComputingData science
Requirements
- Advanced degree (PhD preferred) in Data Science, Biomedical Engineering, Life Sciences, or related field.
- 15+ years of experience in Data & AI strategy, digital transformation, or advanced analytics within pharma, medtech, diagnostics, or healthcare.
- Experience in data, digital, and AI transformation strategies, preferably at leading strategy consulting firms (e.g., McKinsey, BCG, Bain).
- Proven track record as a strategic architect of enterprise data platforms and AI initiatives.
- Expertise in instrument or device data ecosystems, telemetry, and clinical/real-world data integration.
- Deep understanding of AI/ML, including multimodal AI and LLMs.
- Strong conceptual knowledge of modern data architectures, such as cloud, lakehouse, and federated data models.
- Ability to travel 25-35% of the time.
Responsibilities
- Act as a senior strategic advisor to the CDO, Chief Innovation Office, and business leadership shaping enterprise Data & AI priorities.
- Define and co-create platform-wide data and AI strategies, executional roadmaps, and architectures spanning instrument telemetry, enterprise platforms, and clinical/RWD ecosystems.
- Influence investment decisions and co-create use case portfolios linked to company value drivers.
- Architect scalable enterprise data ecosystems including cloud platforms, cross-OpCo data integration, and clinical workflow integration.
- Define AI application strategy across R&D, clinical development, and commercial analytics.
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