Senior Product Manager, Digital Laboratory Platforms

Role overview Shape shared digital platform capabilities used across multiple software products and customer experiences. The role turns portfolio strategy and customer needs into platform priorities, roadmaps, and investment recommendations, with a focus on reusable data, analytics, AI, API, and integration capabilities. Success depends on balancing near-term delivery with adoption, long-term platform health, and measurable value across product teams.

Responsibilities - Develop platform positioning, roadmap recommendations, and lifecycle plans aligned with portfolio priorities. - Identify shared capabilities that can improve customer experiences, reduce duplicated work, accelerate product delivery, or create new value. - Assess opportunities using customer and business value, strategic fit, likely adoption, reuse, feasibility, risk, and sustainability. - Lead discovery with customers, internal product teams, commercial stakeholders, and technical partners to identify shared needs and ecosystem opportunities. - Recommend integration and interoperability approaches involving APIs, partner capabilities, and data exchange. - Work with engineering and cross-functional teams to sequence approved roadmap work, manage dependencies and trade-offs, and measure outcomes. - Define platform success measures such as adoption, reuse, time to value, product-team enablement, and customer or business impact.

Requirements - Bachelor’s degree in computer science, engineering, life sciences, business, or a related field; an advanced degree is preferred. - At least eight years of software product management experience, including ownership of platforms, enterprise software, data or AI products, or other complex multi-product capabilities. - Experience defining complex software products or platforms and partnering with technical teams on APIs, integrations, data, analytics, or shared services. - Ability to use customer, product, business, and operational data to guide decisions and measure results. - Strong communication, prioritization, and cross-functional leadership skills in a matrixed organization.

Nice to have - Experience in healthcare, diagnostics, life sciences, laboratory, clinical, scientific, or another regulated environment. - Experience scaling enterprise platforms, digital ecosystems, data or analytics products, or AI-enabled products. - Familiarity with responsible AI, data governance, interoperability, privacy, security, laboratory informatics, or healthcare IT.

Benefits and work setup - The listed Indiana salary range is $129,200–$193,850, with potential eligibility for an annual performance-based bonus. - Benefits include medical, dental, and vision plans; paid time off and holidays; parental and caregiver leave; disability and life insurance; retirement savings; and an employee stock purchase plan.