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Lead Technology Product Manager, Clinical Decision Support Adoption & Engagement Analytics

Job in Waltham, Middlesex County, Massachusetts, 02254, USA
Listing for: Wolters Kluwer
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis, AI Business & Operations
  • Business
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 128900 - 226050 USD Yearly USD 128900.00 226050.00 YEAR
Job Description & How to Apply Below
## Lead Technology Product Manager, Clinical Decision Support Adoption & Engagement Analytics Apply remote type:
Hybrid (8 days/month) locations:
USA
- Waltham, MA:
USA
- Madison, WI, Junction Rd:
USA
- Coppell, TX:
USA
- Tampa, FL:
USA
- Draper, UTtime type:
Full time posted on:
Posted Todayjob requisition :
R0059148
** Help product teams understand how clinicians and care teams engage with Up To Date 's clinical decision support products.
** At Wolters Kluwer Health, the Up To Date  suite supports millions of clinical decisions every day. As we continue to evolve our CDS and AI-enabled experiences, we need clear insight into what users engage with, which interactions drive meaningful action, where workflows lose momentum, and how product changes affect adoption and value.

As
** Lead Product Analyst, CDS Adoption & Engagement,
** you will focus on adoption, engagement, funnel behavior, and usage patterns across clinical decision support products. You will partner closely with Product, Engineering, Design, Analytics, Commercial, and customer-facing teams to turn product data into clear insights, better decisions, and measurable improvements.

This is not a reporting-only role. You will be expected to query product usage data directly, investigate patterns, and translate analysis into practical recommendations.
** What You'll Do
*** Define and maintain adoption, engagement, funnel, and usage metrics for CDS products.
* Query product usage data to analyze clicks, actions, user journeys, drop-offs, cohorts, segments, and usage patterns.
* Analyze what users engage with, which interactions drive downstream action, and where workflows lose momentum.
* Build dashboards and recurring views that help product teams monitor product performance and user behavior.
* Partner with Product Managers to define success metrics for launches, pilots, MVPs, and experiments.
* Identify insights that inform roadmap priorities, UX improvements, content needs, commercialization, and adoption strategies.
* Help improve instrumentation and metric definitions so teams can rely on consistent, high-quality product data.
* Translate analysis into clear recommendations for product, leadership, commercial, and customer-facing teams.
** What You'll Bring
*** 5+ years of experience in product analytics, data analytics, business analytics, product operations, or a related role.
* Strong ability to write queries independently using SQL or comparable data-querying tools.
* Experience analyzing adoption, engagement, funnel metrics, click behavior, cohorts, segments, and usage patterns and generating insights that contribute to the product development strategy.
* Comfort working with event-level product telemetry, data models, and imperfect instrumentation.
* Ability to turn ambiguous product questions into structured analyses and actionable insights.
* Experience building dashboards, recurring reports, or self-serve product analytics views.
* Strong communication skills and ability to explain data clearly to non-technical stakeholders.
* Experience partnering closely with Product, Engineering, Design, Analytics, Commercial, or Customer Success teams.
** Preferred Background
*** Experience with healthcare, clinical workflow, enterprise SaaS, AI-enabled products, search, content products, or decision-support tools.
* Familiarity with experimentation, A/B testing, product telemetry, event instrumentation, or customer journey analytics.
* Experience with modern data platforms and business intelligence tools.
* Experience analyzing qualitative and quantitative feedback together.
** What Success Looks Like
*** Product teams have clear, trusted metrics for CDS adoption, engagement, funnels, and usage patterns.
* PMs understand which interactions and workflows drive…
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