3 дня назад
Lead Technology Product Manager (Clinical Decision Support Adoption & Engagement Analytics)
128 900 - 226 050$
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Описание вакансии
Текст:
TL;DR
Lead Technology Product Manager (Clinical Decision Support Adoption & Engagement Analytics): Analyzing adoption, engagement, funnel behavior, and usage patterns across UpToDate clinical decision support products with an accent on SQL-based product analytics, event telemetry, and dashboard development. Focus on defining trusted success metrics, investigating user journeys and drop-offs, and translating product data into roadmap, UX, and commercialization recommendations.
Location: USA - Waltham, MA. Applicants may be required to appear onsite at a office during the recruitment process.
Compensation: $128,900.00–$226,050.00 USD annually, plus eligibility for a bonus.
Company
Health provides UpToDate clinical decision support products used by clinicians and care teams.
What you will do
- Define and maintain adoption, engagement, funnel, and usage metrics for clinical decision support products.
- Query product usage data to analyze clicks, user journeys, drop-offs, cohorts, segments, and usage patterns.
- Build dashboards and recurring views for monitoring 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.
- Improve instrumentation and metric definitions, then translate analysis into recommendations for product, leadership, commercial, and customer-facing teams.
Requirements
- 5+ years of experience in product analytics, data analytics, business analytics, product operations, or a related role.
- 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.
- Comfort working with event-level product telemetry, data models, and imperfect instrumentation.
- Experience building dashboards, recurring reports, or self-serve product analytics views.
- Strong communication skills and experience partnering with Product, Engineering, Design, Analytics, Commercial, or Customer Success teams.
Nice to have
- Experience with healthcare, clinical workflows, enterprise SaaS, AI-enabled products, search, content products, or decision-support tools.
- Familiarity with experimentation, A/B testing, event instrumentation, or customer journey analytics.
- Experience with modern data platforms, business intelligence tools, and combined qualitative and quantitative feedback analysis.
Culture & Benefits
- Medical, dental, and vision plans.
- 401(k), FSA/HSA, and commuter benefits.
- Tuition assistance, vacation, sick time, and paid parental leave.
- Interviews are expected to be completed without AI tools or external prompts; some interviews may be conducted in person.
Hiring process
- Interviews assess individual skills, experience, communication style, and authenticity.
- Applicants may be required to attend interviews onsite at a office.
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