D

Danaher

Makes tools for drug research and medical testing

Lead Product Owner - Data Platform

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Proven experience as a Product Owner or Product Manager for data or platform products in enterprise software, translating technical infrastructure into outcome-focused, INVEST-compliant stories and measurable data-product metrics.
  • Deep understanding of modern lakehouse architecture, including medallion data tiers, transactional storage engines, and change data capture patterns such as Databricks and Delta Lake.
  • Strong grasp of scientific data modelling, including unstructured-to-structured transformation, data contracts, schema evolution, ontologies, and provenance standards such as W3C PROV.
  • Practical knowledge of laboratory integration and ingestion patterns from instruments and edge collectors, such as OPC UA and AWS Greengrass, to central storage, including streaming-versus-batch trade-offs.
  • Demonstrable experience in regulated GxP environments with ISO 9001 and ISO 27001 controls, including data integrity, ALCOA+ principles, audit trails, and multi-tenant security boundaries.
  • Practical experience in Agile and Lean delivery, including PI Planning and cross-stream dependency management.

Responsibilities

  • Own the vision, roadmap, and performance of the Data Platform, translating business and technical needs into outcome-focused, INVEST-compliant requirements that deliver reliable, scalable, and cost-effective data services to scientists, informatics leads, and downstream product teams.
  • Define and track product metrics and non-functional requirements, including ingestion latency and throughput, contract adherence, resilience, disaster recovery, and cost-governance thresholds.
  • Drive data-contract and schema-evolution practices so breaking and non-breaking changes are managed predictably across lab domains.
  • Identify upstream and downstream dependencies ahead of PI Planning, sequence critical-path work with Product Owners and engineering leads, and communicate trade-offs and runway decisions clearly to technical and commercial stakeholders.
  • Lead discovery with Data Engineers, Informatics Leads, MSAT, and Tech Ops, and build design-partner feedback loops with enterprise customers to validate sandboxes, data-replay pipelines, and governed sharing to external platforms such as Snowflake, Databricks, and Power BI.
  • Establish operational quality practices, including handling of non-conforming payloads through quarantine, alerting, retry, and reconciliation; ensure monitoring and runbooks are in place before handover; and rapidly triage data incidents with engineering and Support.
  • Ensure the platform meets ISO 9001, ISO 27001, and GxP expectations, owning ALCOA+ data integrity, tenant isolation, access control, data residency, and audit readiness with security and architecture.
  • Travel occasionally for business, up to 10–15%, including team PI Planning events, customer visits, or company meetings.

About the Company

Danaher

Makes tools for drug research and medical testing

Danaher makes instruments, tests and laboratory supplies for drug developers, researchers and clinicians, spanning the path from biological research to clinical patient diagnosis. Its businesses include Cytiva for drug manufacturing, SCIEX for chemical analysis and Beckman Coulter for laboratory testing, linking specialized tools across healthcare workflows. Customers use its equipment to study cells, produce biological medicines and analyze patient samples; the group earns money by selling instruments, reagents, software and support services through its operating companies. Danaher was established in 1984 and is headquartered in Washington, DC.

Company size
10,001+
Company stage
IPO
Headquarters
Washington, DC
Founded
1984

Recently Posted Jobs

Explore more opportunities at Danaher

See more jobs