Lead Technology Product Manager, AI Quality & Evaluation
$118,300–$207,400 year
HybridChicago, Illinois, United States or Indianapolis, Indiana, United States
Job Summary
Translate expert-defined quality standards and evaluation methods into product requirements, workflows, and roadmap priorities for AI-enabled healthcare experiences. Drive discovery and delivery for capabilities including tooling, automation, monitoring, evidence capture, and reporting. Partner with clinical, data science, engineering, and compliance teams to operationalize evaluation before and after launch, identifying opportunities to automate processes while preserving expert oversight. Define product requirements for review workflows, issue triage, launch readiness, and quality reporting, using insights to inform product improvements and user experience. Track emerging market practices and customer expectations to translate evaluation practices into clear narratives for stakeholders.
Required Qualifications
- 5+ years of product management experience in healthcare, enterprise SaaS, data-driven products, platform products, quality, or related areas
- Strong product discovery and execution skills, including requirements definition, roadmap planning, experimentation, and metrics-driven decision-making
- Ability to translate complex clinical, technical, quality, or risk concepts into practical product requirements and workflows
- Experience working with engineering, data, clinical, compliance, customer-facing, or operational stakeholders
- Strong analytical thinking and comfort defining metrics, dashboards, workflows, and decision criteria
- Strong communication skills, especially around quality, trust, tradeoffs, evidence, and customer value
- Curiosity and learning agility around AI, evaluation methods, responsible AI, and emerging technologies
- Experience in healthcare, clinical workflows, regulated environments, or professional-information products
- Experience supporting customer-facing narratives around product quality, trust, or responsible technology
- Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process
Desired Qualifications
- Experience with AI-enabled products
- Experience with healthcare technology
- Experience with quality tooling
- Experience with data products
- Experience with search/retrieval quality
- Experience with content quality
- Experience with clinical validation
- Experience with decision-support products
- Familiarity with AI evaluation methods
- Familiarity with benchmarks
- Familiarity with monitoring
- Familiarity with human-in-the-loop review
- Familiarity with automation
- Familiarity with applied machine learning concepts
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