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Datavant

De-identification and linking health data SaaS

Staff Product Manager - Legal & Insurance

Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA$192k - $240kRemote

About the Job

Requirements

  • Eight or more years of product management experience, with a track record of leading complex, enterprise-grade, data-centric products.
  • Demonstrated ability to define product strategy in ambiguous spaces and influence company-level direction.
  • Experience building products that combine workflow, data, integrations, operations, and user experience into scalable systems.
  • Strong systems thinking, including the ability to understand complex real-world workflows and turn them into durable product architecture.
  • Experience working with healthcare data, data exchange, retrieval, workflow automation, platform products, or regulated data products.
  • Comfort designing products in highly regulated, high-stakes environments where accuracy, timeliness, compliance, privacy, and trust matter.
  • Strong technical fluency and credibility with engineering, data science, and analytics teams.
  • Ability to use data, customer insight, and business judgment to make prioritization and investment decisions.
  • Executive-level communication skills to distill complexity, frame tradeoffs, and influence senior leaders, technical teams, operations teams, and commercial stakeholders.
  • Ability to create clarity, raise the team's strategic altitude, mentor others, and personally advance important work.
  • Ability to work in ambiguity, learn quickly, make pragmatic tradeoffs, and build momentum.
  • Collaborative, low-ego leadership style and a track record of building trust across functions.

Responsibilities

  • Define the long-term product vision, strategy, roadmap, and success metrics for the Legal & Insurance vertical.
  • Translate a complex, fragmented market into a coherent product strategy across requester experience, retrieval workflows, fulfillment, integrations, and record analysis.
  • Shape product architecture for a new vertical, including workflows, data models, platform capabilities, partner integrations, and AI-enabled experiences.
  • Partner with executive leadership to evaluate opportunities, set priorities, guide investment decisions, and align the organization around high-impact work.
  • Build scalable products for attorneys, copy services, insurers, and other requesters across enterprise and small/mid-sized customer segments.
  • Work with engineering, data science, analytics, operations, design, and commercial teams to move from strategy to execution.
  • Identify where operational friction should become product capability and where custom workflows should become scalable platform patterns.
  • Develop AI-powered tools that help users extract, summarize, structure, and act on insights from complex medical records.
  • Establish metrics, feedback loops, and operating rhythms to improve retrieval speed, completeness, transparency, quality, customer satisfaction, and operational efficiency.
  • Serve as a product thought leader for the vertical and mentor other product managers, raising the bar for product strategy, systems thinking, customer insight, and execution.

Desired Qualifications

  • Experience in legal, insurance, medical record retrieval, claims, risk adjustment, clinical data, or AI-enabled document analysis.

About the Company

Datavant

De-identification and linking health data SaaS

Datavant provides software to securely share health data by removing personal identifiers and linking records from multiple sources. Its SaaS platform de-identifies datasets and connects data across hospitals, research centers, pharma, and public health groups for cohesive analysis. It differentiates itself by combining privacy-preserving de-identification with cross-source data linkage in the health sector, supporting interoperability while protecting privacy. Its goal is to enable secure, privacy-friendly exchange of health information to advance research, patient care, and public health.

Company size
5,001-10,000
Company stage
Series B
Total funding
$80.5M
Headquarters
San Francisco, CA
Founded
2017

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