Lead Product Manager, Healthcare Analytics & Ideation

Wolters Kluwer•Madison, WI

22h•$107,500 - $188,400

About The Position

The Lead Product Manager is responsible for creating customer and business value through product management of Analytics, Clinical Surveillance and Compliance’s (CSC) customer-facing business intelligence and reporting product, and through ideation to identify, evaluate, and develop investment cases for potential new technology opportunities. The role combines customer understanding, product judgment, experimentation, and execution to deliver products customers adopt and value, while helping shape CSC’s future technology pipeline. The Product Manager develops a deep understanding of customer workflows, identifies meaningful problems, and translates customer, market, and business insight into product priorities and measurable outcomes. They work across Engineering, Design, Product Marketing, Sales, Customer Success, Operations, and domain experts to discover, build, launch, and improve products. They also partner with product management leadership and other stakeholders to assess new technology initiatives and develop investment cases covering customer value, market opportunity, strategic fit, required investment, expected financial return, risks, and recommended paths forward. The role embraces AI-enabled ways of working and the Agentic Product Development Life Cycle, using AI to accelerate learning, prototyping, experimentation, and execution while remaining accountable for product decisions and outcomes. For Analytics, the Product Manager orchestrates customer insight, product decisions, experimentation, delivery, commercial readiness, and learning. Success is measured by customer value creation, product adoption, product quality, learning velocity, and measurable customer and business outcomes. The position requires periodic travel, generally for customer or internal meetings, trade shows, or customer events. Applicants may be required to appear onsite at a Wolters Kluwer office during the recruitment process.

Requirements

Bachelor's degree or equivalent practical experience; 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.
At least 3 years of experience managing products in a healthcare sector.
Experience developing and presenting investment recommendations that evaluate 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 solutions, translating complex data into actionable customer insights, workflows, and product experiences; including experience with healthcare data, healthcare analytics, or complex data integrations.
Experience using AI to accelerate customer understanding, insight synthesis, experimentation, prototyping, and product execution while maintaining strong human judgment.
Demonstrated experience translating customer, market, workflow, and business insight into product priorities and measurable outcomes.
Experience across product discovery, validation, launch, and continuous improvement.
Experience using customer feedback, experimentation, and product telemetry to improve product outcomes.
Experience partnering effectively with Engineering, Design, Product Marketing, Sales, Customer Success, Operations, and domain experts.
Deep customer orientation and ability to translate customer and professional workflow understanding into valuable product outcomes.
Ability to plan and conduct customer research using appropriate qualitative and quantitative methods, synthesize evidence, and translate learning into product decisions.
Strong product judgment and ability to balance customer value, business value, technical feasibility, and risk.
Commercial judgment, including understanding a product’s business model, contributing to forecasts, evaluating willingness to pay and differentiation, and using commercial performance to guide decisions.
Strong understanding of modern Product Management practices, including discovery, experimentation, prototyping, telemetry, launch, adoption, and continuous improvement.
Working fluency in AI-enabled product development and use of AI to accelerate learning, decision-making, and execution.
Ability to lead product outcomes in a matrixed organization by aligning cross-functional teams, managing dependencies, and influencing decisions without direct authority.
Strong communication and influence skills, with ability to adapt communication for customers, delivery teams, and business partners.
Curiosity, adaptability, and commitment to continuous learning and improvement.

Nice To Haves

Experience building, launching, or improving AI-enabled products, capabilities, or workflows.

Responsibilities

Develop a deep understanding of the professionals served, their workflows, and the problems they are trying to solve; engage customers and domain experts and use research, feedback, and market insight to identify opportunities.
Form hypotheses, identify assumptions and tradeoffs, and use experimentation, product telemetry, customer evidence, and business data to guide priorities and product decisions.
Own the direction and outcomes for Analytics, CSC’s customer-facing business intelligence and reporting product.
Discover, validate, build, launch, commercialize, and improve products that customers adopt and value.
Validate customer value, competitive differentiation, and willingness to pay before scaling investment.
Partner with Product Marketing, Sales, Customer Success, Professional Services, and other functions to shape go-to-market plans, prepare teams for launch, and support adoption and value realization.
Monitor adoption, usage, retention, and commercial performance, and adjust product direction when outcomes fall short.
Use AI to accelerate research, synthesis, prototyping, and execution while remaining accountable for outcomes.
Align Engineering, Design, Product Marketing, Sales, Customer Success, Operations, and domain experts around shared outcomes; communicate priorities, manage dependencies, and help teams make progress.
Continuously improve product craft, customer understanding, AI fluency, and decision-making; share learning, seek feedback, and contribute to improving product development practices.
Develop investment cases evaluating customer value, market opportunity, strategic fit, competitive differentiation, technical feasibility, required investment, expected financial return, and risk.
Present recommendations through applicable product investment governance processes.
For approved opportunities, establish the transition from Ideation into product planning and execution, partnering with the applicable portfolio product manager, Engineering leader, and product management leadership to clarify ownership, capabilities, and next steps.