Director, Technical Product Management

Norstella is seeking a Director or Senior Director of Technical Product Management to lead the strategy and execution of its data platform and AI-powered product suite. The role owns product vision and delivery, drives commercialization and revenue growth, and leads cross-functional collaboration across product, engineering, data science, sales, and customers.

Responsibilities:

• Own the end-to-end product vision and roadmap for our data platform, including data delivery mechanisms — APIs, MCPs, data feeds, and AI agents
• Define and execute go-to-market strategy for AI-native products built on commercial life sciences data assets (open claims, EMR notes, payer data, and more)
• Prioritize features and capabilities based on market demand, competitive landscape, and revenue impact
• Translate complex data and AI capabilities into clear, differentiated value propositions for commercial and clinical customers
• Oversee the product lifecycle for AI-native capabilities including agentic workflows, LLM-powered insights, and structured/unstructured data pipelines
• Drive adoption of modern data delivery modalities: RESTful APIs, MCP (Model Context Protocol) servers, bulk data feeds, and embedded AI agents
• Collaborate with data science, engineering, and architecture teams to ensure platform scalability, data quality, and compliance
• Stay ahead of the AI/ML landscape to identify emerging patterns applicable to life sciences commercialization
• Partner closely with sales, solutions engineering, and customer success to drive pipeline expansion, accelerate deal cycles, and support renewals
• Serve as a subject matter expert and executive-level product voice in strategic customer conversations
• Build credibility with technical buyers by demonstrating hands-on fluency with data schemas, API design, and AI/ML delivery patterns
• Partner with sales and customer success in executive business reviews, QBRs, and strategic account planning sessions
• Define and track product-level KPIs tied to revenue growth, adoption, and retention
• Manage and mentor a team of product managers; establish a culture of curiosity, rigor, and customer empathy
• Align product priorities with business objectives through regular engagement with executive leadership
• Coordinate across data operations, legal/compliance, marketing, and technology to ship high-quality products on schedule
• Communicate roadmap and progress clearly to both technical and non-technical stakeholders

Requirements:

• 10–15 years of product management experience, with meaningful time in data platforms, health/life sciences, or enterprise SaaS
• Experience building and commercializing AI-native products — from concept through launch and revenue generation
• Deep familiarity with commercial life sciences data assets, including open/closed medical and pharmacy claims, EMR/EHR notes, payer formulary and coverage data, and provider/patient-level datasets
• Strong technical fluency: able to engage credibly with engineers on API design, data schemas, LLM pipelines, and agent frameworks without writing code
• Experience owning data delivery products — APIs, data feeds, MCP servers, AI agents, or similar developer-facing surfaces
• Demonstrated ability to run structured customer discovery across both technical (engineering, data science) and business (commercial, clinical, operations) stakeholders
• Revenue orientation — experience tying product decisions to ARR, expansion, and churn metrics
• Excellent written and verbal communication; can tailor messaging from data engineer to chief commercial officer
• Experience at a health data company, payer analytics firm, or life sciences technology vendor
• Familiarity with Model Context Protocol (MCP), LangChain/LangGraph, or similar agentic AI frameworks
• Background in FHIR, HL7, or other healthcare interoperability standards
• MBA or advanced degree in a quantitative or life sciences field