Senior Product Manager - Clinical Data Quality

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. They are looking for a Senior Product Manager, Data Quality to lead the vision, strategy, and execution for delivering high-quality, reliable, and trustworthy real-world data experiences for clinical research.

Responsibilities:

• Define and communicate the long-term vision and strategy for data quality across Truveta’s real-world data platform
• Own and drive the product roadmap for scalable, measurable, and trustworthy data quality capabilities that improve the researcher’s experience
• Establish clear frameworks, KPIs, and metrics for measuring data quality and research readiness across the data lifecycle
• Translate complex data quality signals into compelling narratives and actionable insights for business leaders, researchers, customers, and cross-functional stakeholders
• Partner closely with engineering and data platform teams to improve data quality processes across ingestion, orchestration, transformation, validation, and production systems
• Lead initiatives that turn recurring data issues, investigations, and analyses into durable platform improvements, automated defenses, and scalable product capabilities
• Leverage AI-first approaches to automate detection, monitoring, validation, and remediation of data quality issues at scale
• Continuously evaluate opportunities to improve usability, transparency, observability, and trust within Truveta’s data products and researcher experiences
• Foster alignment and clarity across teams through calm, effective communication in high-ambiguity and fast-moving situations

Requirements:

• 8+ years of product management experience, including ownership of technical or data-focused products
• Demonstrated experience owning delivery backlogs and successfully launching data-driven products or platform capabilities
• Deep curiosity for data and a strong desire to understand how data systems, pipelines, and products function end-to-end
• Proven ability to define, measure, and communicate data quality metrics, and to drive sustained, measurable improvements that meaningfully impact business performance and customer outcomes
• Healthcare data experience, including familiarity with standards and vocabularies such as FHIR, RxNorm/NDC, LOINC, and CPT
• Exceptional communication and stakeholder management skills, including the ability to simplify complex technical concepts for diverse audiences
• A bias toward systematic, durable solutions that improve platform reliability and operational efficiency over time, combined with strong analytical rigor and the judgment to investigate root causes deeply without losing focus on the highest-impact opportunities
• Strong SQL experience and comfort exploring data to validate hypotheses, investigate anomalies, and support root cause analysis
• Passion for building trusted healthcare data experiences that improve clinical research and patient outcomes
• Familiarity with modern data stacks and platforms such as Azure, Databricks, PostgreSQL, and orchestration technologies
• Experience with clinical and billing workflows and their resulting data outputs
• Experience applying AI and machine learning techniques to detect, analyze, or resolve data quality challenges
• Experience building observability, monitoring, or reliability capabilities for large-scale data platforms
• Strong product intuition for balancing data quality rigor, operational scalability, and customer experience