Product Manager, Real World Evidence (Data Generation and QA Systems)
Flatiron Health · NY, US
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About the Role
Reimagine the infrastructure of cancer care within a community that values integrity, inspires growth, and is uniquely positioned to create a more modern, connected oncology ecosystem. Improve and extend lives by learning from the experience of every person with cancer.
Responsibilities
- Own the data generation mechanisms that power our data and a portion of the frameworks that ensure its quality.
- Partner closely with cross-functional teams and other scrum teams to drive the delivery platform that backs all of the real-world data products Flatiron is known for.
- Partner deeply with data curation and core product development teams to determine data and quality requirements, building tools and systems that support those needs.
- Manage the global roadmap for critical data generation infrastructure, balancing an ambitious future-state vision with the reality of migrating highly utilized, always-on systems without disrupting ongoing operations.
- Champion a seamless user experience during multi-phase technical migrations, designing incremental cutovers to new tools that deliver continuous value without breaking existing user workflows.
- Define and execute a holistic, AI-forward QA strategy for our deliverables, leveraging new technologies to guarantee the integrity of our datasets.
- Foster a culture of collaboration, facilitate trade-off discussions, drive alignment, and ensure transparency across teams working on upstream RWE initiatives.
- Champion innovation within the data lifecycle by proactively evaluating new approaches and tooling to improve the speed, quality, and scalability of our data generation pipelines.
- Measure and communicate impact: track key metrics (e.g., data delivery efficiency, platform adoption, cost savings, revenue) and communicate progress to leadership and stakeholders.
Requirements
- At least 3 years of experience in a software, SaaS, or healthcare technology environment.
- Experience leading complex projects in a product, research, or data-oriented discipline.
- Strong understanding of AI, and opinions about what it’s good for (and what it’s not).
- Comfortable in ambiguity, with an ability to tackle vague technical challenges first and bring clarity back to your team and stakeholders.
- Excellent internal communication skills, detail orientation, and ability to execute.
- Experience with biopharma, patient-level data, real-world data, or oncology.
- Strong understanding of software projects’ development, roll-out, and support risks.
- Strong technical aptitude and an ability to understand technical designs, challenges, and risks.
- Strong project management skills and excellent organizational and communication skills.
Skills
- Product Management
- Software development
- SaaS
- Healthcare technology
- Data generation
- Data quality
- Roadmap management
- Technical migrations
- AI
- QA strategy
- Collaboration
- Innovation
- Data lifecycle management
- Metrics tracking
- Systems thinking
- Project management
- Organizational skills
- Communication skills
Location
- New York
Work Type
- Hybrid
Experience Level
- 3+ years
Education Level
- BA/BS degree in business, technology, or equivalent practical experience
Benefits
- Work/life autonomy via flexible work hours and flexible paid time off
- Comprehensive compensation package
- 401(k) contribution
- Financial health resources including 1:1 financial advice
- Mental well-being tools and services
- Parental benefits and policies including family-building care and generous leave
- Path to parenthood programs supporting fertility, adoption and surrogacy
- Travel support for safe healthcare services
- Continuous learning support
- Inclusion and belonging initiatives
About the Company
- Flatiron Health is dedicated to reimagining the infrastructure of cancer care.
- The company values integrity, inspires growth, and is uniquely positioned to create a more modern, connected oncology ecosystem.
- The mission is to improve and extend lives by learning from the experience of every person with cancer.