Lead Product Manager, Healthcare Analytics & Ideation

The Lead Product Manager, Healthcare Analytics & Ideation (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, focused on identifying, evaluating, and developing investment cases for potential new technology opportunities.

This role combines customer understanding, product judgment, experimentation, and execution to deliver products that customers adopt and value, and investment-case development to help shape CSC’s future technology pipeline.

The Product Manager develops a deep understanding of customer workflows, identifies meaningful problems to solve, and translates customer, market, and business insight into product priorities and measurable outcomes. They work closely with Engineering, Design, Product Marketing, Sales, Customer Success, Operations, and domain experts to discover, build, launch, and improve products.

The Product Manager additionally partners with product management leadership and other stakeholders to evaluate potential new technology initiatives and develop investment cases that define customer value, market opportunity, strategic fit, required investment, expected financial return, risks and recommended paths forward.

Product Managers are expected to embrace 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 acts as the orchestrator of the pod, bringing together customer insight, product decisions, experimentation, delivery, commercial readiness, and learning to achieve customer and business outcomes.

Success in this role will be measured by customer value creation, product adoption, product quality, learning velocity, and the ability to deliver measurable customer and business outcomes.

What You’ll Be Accountable For

Understand the Customer: Develop a deep understanding of the professionals we serve, their workflows, and the problems they are trying to solve. Engage directly with customers and domain experts, and use research, feedback, and market insight to identify product opportunities.

Make Better Decisions: Make hypotheses and use experimentation, product telemetry, customer evidence, and business data to guide priorities and make product decisions. Identify assumptions, evaluate tradeoffs, and adapt as new evidence emerges.

Build Valuable Products: Own the direction and outcomes for Analytics, CSC’s customer-facing business intelligence and reporting product. Work with the team to 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 relevant 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 direction when outcomes fall short. Use AI to accelerate research, synthesis, prototyping, and execution while maintaining accountability for outcomes.

Lead Across Boundaries: Work closely with Engineering, Design, Product Marketing, Sales, Customer Success, Operations, and domain experts to create alignment around shared outcomes. Communicate priorities clearly, manage dependencies, and help teams make progress.

Grow People & Capability: Continuously improve your product craft, customer understanding, AI fluency, and decision-making. Share learning, seek feedback, and contribute to improving how products are built.

Support Ideation: Develop investment cases that evaluate 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 appropriate transition from Ideation into product planning and execution, partnering with the applicable portfolio product manager, Engineering leader, and product management leadership to clarify ownership, required capabilities, and next steps.

Job Qualifications

• •Education
• •Bachelor's degree or equivalent practical experience required. Relevant professional experience or domain expertise may substitute where appropriate.

• •Experience
• •At least 7 years of Product Management experience in enterprise software, SaaS, information services, or similarly complex product environments, with 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 working across discovery, validation, launch, and continuous product improvement.
• •Experience building, launching, or improving AI-enabled products, capabilities, or workflows is desired.
• •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.

• •Knowledge / Skills / Abilities
• •Deep customer orientation and the 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 the ability to balance customer value, business value, technical feasibility, and risk.
• •Commercial judgment and the ability to understand the product’s business model, contribute to forecasts, evaluate willingness to pay and differentiation, and use commercial performance to guide decisions.
• •Strong understanding of modern Product Management practices, including discovery, experimentation, prototyping, telemetry, launch, adoption, and continuous improvement.
• •Ability to use customer evidence, experimentation, and business data to make product decisions.
• •Working fluency in AI-enabled product development and the 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 the ability to adapt messages and communication style for customers, delivery teams, and business partners.
• •Curiosity, adaptability, and commitment to continuous learning and improvement

Travel requirements

Travel will be periodic and generally for the purpose of customer meetings, internal meetings, trade shows, or customer events.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or exter