Remote Director, AI-Driven Data Platform

Norstella

Dover (DE)

Remote

USD 170,000 - 210,000

Full time

4 days ago
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Benefits offered by this job

Medical benefits
Dental & Vision
401k Retirement Plan
Disability insurance
Paid parental leave
PTO & holidays
HSA/FSA

Job summary

Norstella is seeking a Director (or Senior Director) of Technical Product Management to lead the strategy and execution of our data platform and AI-powered product suite. This high-impact role spans commercial life sciences data, modern AI delivery mechanisms, and revenue growth across a global product organization.

The right candidate will collaborate with data science, engineering, and architecture teams, translating complex data capabilities into clear value for customers and executives

Qualifications

  • 10–15 years of product management experience in data platforms or enterprise SaaS.
  • Experience commercializing AI-native products from concept to revenue.
  • Familiarity with life sciences data assets (claims, EMR notes, payer data).
  • Strong technical fluency for API design, data schemas, and AI delivery patterns.

Responsibilities

  • Own end-to-end product vision and roadmap for the data platform and AI products.
  • Define GTM strategy for AI-native products built on life sciences data assets.
  • Lead lifecycle for AI-native capabilities including agentic workflows and LLM-powered insights.
  • Drive KPI definitions tied to revenue growth, adoption, and retention.
  • Mentor a team of product managers and align priorities with exec leadership.

Skills

Product management
AI/ML product
Data platforms
APIs
Stakeholder communication
Cross-functional leadership
Revenue-focused product
Healthcare domain

Education

Bachelor's degree

Job description

Norstella is seeking a Director (or Senior Director) of Technical Product Management to lead the strategy and execution of our data platform and AI-powered product suite. This high-impact role spans commercial life sciences data, modern AI delivery mechanisms, and revenue growth across a global product organization.

The right candidate will collaborate with data science, engineering, and architecture teams, translating complex data capabilities into clear value for customers and executives

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