Key Responsibilities

• Translate ambiguous clinical and data science requirements into structured, actionable product specifications.
• Work with Product to drive backlog grooming, sprint planning, and quarterly roadmap alignment.
• Ensure system-level clarity across platform constraints, dependencies, and integration points.
• Collaborate with cross-functional stakeholders (e.g., Clinicians, DS/DE leads, downstream consumers) to align on requirements and workflows.

Qualifications

• 5+ years of experience in technical product management, preferably in healthcare, data platforms, or ML/AI systems.
• Strong understanding of data analytics architecture, data modeling, and ML/LLM pipelines.
• Experience working with cross-functional engineering teams in an agile environment.
• Proven ability to manage ambiguity and drive clarity in complex systems.
• Excellent communication skills and ability to influence without authority.
• Hands on GCP Experience 

Preferred

• Familiarity with clinical data standards (e.g., HL7, FHIR), claims data, or EHR systems.
• Experience with tools like Jira, Confluence, and Miro for product documentation and planning.
• Prior exposure to healthcare regulatory environments or clinical workflows       

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