Senior Product Manager, Digital Laboratory Platforms

Thermo Fisher Scientific

. Translate portfolio strategy and direction into platform priorities, roadmap recommendations, and scalable shared capabilities .

Posted 11/12/2026full-timeRemote • United StatesSenior💰 $129,200 - $193,850 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product strategy execution for digital platforms, focusing on data, analytics, AI, and interoperability. Proven ability to lead cross-functional teams, influence stakeholders, and measure product outcomes in complex environments.

Highest-signal resume keywords

Software Product ManagementPlatform Strategy ExecutionData AnalyticsAPI IntegrationCustomer Experience Improvement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Roadmap DevelopmentData-Enabled Platform CapabilitiesAI Technologies EvaluationBusiness Case DevelopmentLifecycle Planning

Soft Skills

Strong CommunicationPrioritization SkillsCross-Functional Collaboration

Tools & Technologies

APIsDigital ServicesData ExchangeInteroperability Solutions

Industry Keywords

HealthcareLife SciencesLaboratory InformaticsResponsible AIData Governance

About the role

Key responsibilities & impact

Translate portfolio strategy and direction into platform priorities, roadmap recommendations, and scalable shared capabilities
Lead product strategy execution for digital platform capabilities serving multiple software products, workflows, and customer experiences
Translate portfolio vision and strategic priorities based on customer needs, business goals, technology trends, and product-team needs
Create reusable capabilities spanning data, analytics, AI, APIs, integrations, interoperability, and shared digital services
Partner with product, engineering, architecture, data/AI, UX, security, commercial, regulatory, and business stakeholders
Develop platform product positioning, roadmap recommendations, and lifecycle plans
Identify opportunities to improve customer experience, reduce duplication, accelerate product delivery, and create business value
Evaluate platform priorities and develop opportunity assessments, business cases, and investment recommendations
Establish platform success measures including adoption, reuse, time-to-value, product-team enablement, and customer/business impact
Lead discovery with external customers, internal product teams, commercial stakeholders, and technical partners
Develop ecosystem and integration recommendations involving APIs, partner capabilities, data exchange, and digital interoperability
Translate direction into requirements for scalable AI-, analytics-, and data-enabled platform capabilities
Evaluate emerging AI and data technologies and partner with the AI team on product opportunities and adoption strategies
Align senior stakeholders around platform priorities and trade-offs
Influence across product teams and organizational boundaries without direct authority
Communicate platform direction and recommendations to senior leadership and technical/non-technical audiences
Partner with engineering to translate strategy into platform capabilities and delivery plans
Lead execution of approved roadmap priorities while enabling engineering ownership of technical design and implementation
Manage product dependencies, risks, sequencing, and trade-offs across teams
Measure delivered capabilities against intended outcomes

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Life Sciences, Business, or a related field; advanced degree preferred
8+ years of software product management experience
Demonstrated ownership of platform, enterprise, data, AI, or other complex multi-product capabilities
Demonstrated experience defining complex software products or platforms
Experience partnering with engineering and other technical teams on products involving APIs, integrations, data, analytics, or shared services
Strong experience using customer, product, business, and operational data to make product decisions and measure outcomes
Strong communication, prioritization, and cross-functional skills in a matrixed organization
Preferred: experience in healthcare, diagnostics, life sciences, scientific, laboratory, clinical, or other regulated industries
Preferred: experience building or scaling enterprise platforms, digital ecosystems, data products, analytics products, or AI-enabled products
Preferred: experience with responsible AI, data governance, interoperability, privacy, security, or related enterprise considerations
Familiarity with laboratory informatics, LIMS, LMS, ELN, or healthcare IT is a plus

Benefits

Comp & perks

Variable annual bonus based on company, team, and/or individual performance results
National medical and dental plans
National vision plan
Health incentive programs
Employee assistance and family support programs
Commuter benefits
Tuition reimbursement
At least 120 hours paid time off (PTO)
10 paid holidays annually
Paid parental leave: 3 weeks for bonding and 8 weeks for caregiver leave
Accident and life insurance
Short- and long-term disability
Competitive 401(k) U.S. retirement savings plan
Employees’ Stock Purchase Plan (ESPP) with discounted company stock purchases