Product Manager, AI-Driven Oncology Data Platform

Flatiron Health

New York (NY)

Hybrid

USD 140,000 - 190,000

Full time

3 days ago
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Benefits offered by this job

Flexible hours
Paid time off
401(k)
Mental health resources
Parental benefits
Fertility and adoption support
Travel support

Job summary

Flatiron Health in New York is seeking a Product Manager to own data generation infrastructure powering our real-world data products. You’ll partner with data curation and core product teams to define data quality needs and drive a roadmap that balances ambition with reliable operations.

You’ll lead multi-team collaboration, design AI-forward QA, and push for scalable pipelines while ensuring excellent user experiences and measurable impact on cancer research and patient care.

Qualifications

  • 3+ years in software, SaaS, or healthcare tech.
  • Experience leading complex data-oriented projects.
  • BA/BS degree in business, tech, or equivalent.

Responsibilities

  • Own data generation mechanisms powering our data products.
  • Partner with data curation and product teams to set data quality requirements.
  • Manage global roadmap for data generation infrastructure.
  • Champion seamless UX during multi-phase migrations of new tools.
  • Define and execute AI-forward QA strategy for datasets.
  • Foster collaboration across upstream RWE teams.
  • Evaluate new tooling to speed, quality, and scale data pipelines.
  • Measure impact and report metrics to leadership.

Skills

Systems thinking
AI understanding
Project management
Communication skills
Technical aptitude

Education

BA/BS degree

Job description

Flatiron Health in New York is seeking a Product Manager to own data generation infrastructure powering our real-world data products. You’ll partner with data curation and core product teams to define data quality needs and drive a roadmap that balances ambition with reliable operations.

You’ll lead multi-team collaboration, design AI-forward QA, and push for scalable pipelines while ensuring excellent user experiences and measurable impact on cancer research and patient care.

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