Director, Technical Product Management

Norstella; Santa Fe (NM); Remote; USD 150,000 - 225,000; Full time

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 leader will bridge commercial life sciences data, AI delivery, and revenue growth, working with engineering, data science, and executives to shape a bold, scalable roadmap.

The role demands deep technical fluency, strong customer discovery, and a track record of delivering AI-native products that drive ARR and retention,

Qualifications

• 10-15 years of product management experience in data platforms, health/life sciences, or enterprise SaaS.
• Experience building and commercializing AI-native products from concept through launch.
• Strong technical fluency to engage with engineers on API design, data schemas, and AI delivery patterns.
• Experience owning data delivery products—APIs, data feeds, MCP servers, AI agents, or similar surfaces.
• Proven ability to run structured customer discovery across technical and business stakeholders.
• Revenue-oriented mindset with linkage of product decisions to ARR, expansion, and churn metrics.
• Excellent written and verbal communication; ability to tailor messaging from data engineer to executive leaders.

Responsibilities

• Own the end-to-end product vision and roadmap for our data platform, including data delivery mechanisms (APIs, MCPs, data feeds, AI agents).
• Define and execute go-to-market strategy for AI-native products built on commercial life sciences data assets.
• Prioritize features based on market demand, competition, and revenue impact.
• Translate complex data and AI capabilities into clear value propositions for commercial and clinical customers.
• Oversee lifecycle of AI-native capabilities including agentic workflows and LLM-powered insights.
• Drive data delivery modernization and platform scalability with engineering teams.
• Collaborate with sales, customer success, and executives to drive pipeline growth and renewals.
• Define and track product KPIs tied to revenue growth, adoption, and retention.

Skills

Product strategy

Technical fluency

Executive communication

Customer discovery

Revenue orientation

Cross-functional leadership

Education

MBA (preferred)

Tools

API design

MCP servers

FHIR/HL7

Job description

Director, Technical Product Management

Company: Norstella

Location: Remote, United States

Date Posted: Sep 20, 2026

Employment Type: Full Time

Job ID: R-2044

Description

Job Description – Director / Senior Director, Technical Product Management

Data Platform & AI Products | Remote | Full-Time

About Norstella

Norstella is a premier and critical global life sciences data and AI solutions platform dedicated to improving patient access to life-saving therapies. Norstella supports pharmaceutical and biotech companies across the full drug development lifecycle - from pipeline to patient. Our mission is simple: to help our clients bring therapies to market faster and more efficiently, ultimately impacting patient lives.

Norstella unites five market-leading brands (Citeline, Evaluate, MMIT, Panalgo, and The Dedham Group) that all have a shared vision of improving patient access to life-saving therapy. Norstella delivers must-have answers and insights for critical strategic, clinical, and commercial decision-making. We help our clients:

• Accelerate the drug development cycle
• Make data driven commercial and financial decisions
• Match and recruit patients for clinical trials
• Assess competition and bring the right drugs to market
• Identify and address barriers to patient access
• Leverage the latest AI to turn data into insights for faster and better decision making

Norstella serves almost every pharmaceutical and biotech company in the world, along with regulators like the FDA, and payers. By providing critical proprietary data supporting AI-driven workflows, Norstella helps clients make decisions faster and with greater confidence. Norstella's investments in AI are transforming how data is consumed and decisions are made, disrupting inefficient legacy workflows and helping the industry become more efficient, innovative, and responsive to patient needs.

Norstella's investments in AI are transforming how data is consumed and decisions are made, disrupting inefficient legacy workflows and helping the industry become more efficient, innovative, and responsive to patient needs.

About The Position:

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 is a high-impact, cross-functional role at the intersection of commercial life sciences data, modern AI delivery mechanisms, and revenue growth, sitting within a global product and technology organization. The right candidate is equally comfortable whiteboarding architecture with engineers and conducting discovery sessions with enterprise customers.

Key Responsibilities:

Product Strategy & Roadmap

• 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.

AI & Data Platform Delivery

• 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.

Revenue & Commercial Focus

• 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.

Leadership & Cross-Functional Collaboration

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.
• Occasional travel may be required.

Our guiding principles for success at Norstella:

• Bold, Passionate, Mission-First We have a lofty mission to Smooth Access to Life Saving Therapies, and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do.
• Integrity, Truth, Reality We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn’t. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals.
• Kindness, Empathy, Grace We will empathize with everyone’s situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication.
• Resilience, Mettle,