Lead Product Manager, Healthcare Analytics & Ideation
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Hybrid, 8 days per month, based in Madison, WI; other listed locations include Chicago, IL; Waltham, MA; Indianapolis, IN; Philadelphia, PA; and Greenwood Village, CO. Periodic travel is required, and onsite attendance at a office may be required during the interview process.
Salary: $107,500–$188,400 USD annually, plus bonus eligibility.
Company
provides information services and software, including healthcare analytics, clinical surveillance, compliance, business intelligence, and reporting products.
What you will do
- Own the direction and outcomes of Analytics, a customer-facing healthcare business intelligence and reporting product.
- Research customer workflows, identify meaningful problems, and translate customer, market, and business evidence into product priorities and measurable outcomes.
- Use hypotheses, experimentation, product telemetry, customer feedback, and business data to guide decisions and improve adoption, usage, retention, quality, and commercial performance.
- Lead discovery, validation, development, launch, commercialization, and continuous improvement in partnership with Engineering, Design, Marketing, Sales, Customer Success, Operations, and domain experts.
- Develop and present investment cases for new technology opportunities, evaluating customer value, market opportunity, strategic fit, differentiation, feasibility, investment, financial return, and risk.
- Use AI-enabled product development to accelerate research, synthesis, prototyping, experimentation, and execution while remaining accountable for product outcomes.
Requirements
- Bachelor’s degree or equivalent practical experience required; relevant professional experience or domain expertise may substitute where appropriate.
- At least 7 years of Product Management experience in enterprise software, SaaS, information services, or similarly complex product environments, including at least 3 years managing products in healthcare.
- Experience developing and presenting investment recommendations covering market opportunity, customer value, strategic fit, competitive differentiation, feasibility, investment requirements, financial return, and risk.
- Experience developing, releasing, and managing customer-facing analytics, reporting, business intelligence, or data-driven software, including healthcare data, healthcare analytics, or complex data integrations.
- Experience using AI to accelerate customer understanding, insight synthesis, experimentation, prototyping, and product execution while applying strong human judgment.
- Experience translating customer, market, workflow, and business insight into product priorities and measurable outcomes across discovery, validation, launch, and continuous improvement.
- Ability to plan and conduct qualitative and quantitative customer research, synthesize evidence, and translate learning into product decisions.
- Strong product and commercial judgment, including balancing customer value, business value, technical feasibility, and risk; evaluating willingness to pay, differentiation, forecasts, and commercial performance.
- Ability to lead outcomes in a matrixed organization, align cross-functional teams, manage dependencies, influence without direct authority, and communicate effectively with customers, delivery teams, and business partners.
Nice to have
- Experience building, launching, or improving AI-enabled products, capabilities, or workflows.
Culture & Benefits
- Hybrid work arrangement with attendance expected 8 days per month.
- Medical, dental, and vision plans; 401(k); FSA/HSA; commuter benefits; tuition assistance; vacation and sick time; and paid parental leave.
- Periodic travel for customer meetings, internal meetings, trade shows, or customer events.
- Continuous learning and improvement are expected, including growth in product craft, customer understanding, AI fluency, and decision-making.
Hiring process
- Interviews must be completed without AI tools or external prompts; AI-generated responses or third-party support during interviews may result in disqualification.
- Virtual backgrounds must be removed, and in-person interviews are included in the process; applicants may be required to appear onsite at a office.
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