Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare.
As the Director of Prospective + Concurrent Risk Adjustment Products, you will lead the strategy, roadmap, and execution for the product portfolio focused on identifying and acting on undiagnosed conditions (prospective suspecting) and ensuring risk adjustment coding accuracy in near real-time (concurrent review). You will manage a cross-functional team of product managers and product designers and collaborate deeply with data science, clinical experts, engineering, and commercial teams to accelerate innovative solutions that surface timely, high-accuracy clinical insights directly into provider workflows. These capabilities help health plans and risk bearing groups improve revenue integrity, close care gaps earlier, and enable better care decisions at the point of service. This is a leadership role that combines strategic thinking, clinical product development expertise, and people management responsibilities. You'll be accountable for ensuring our products deliver measurable impact for value-based care customers while building a high-performance team and culture.
Key Responsibilities
Key Qualifications
Required: 8+ years of product management experience in healthcare, including ownership of clinical, risk adjustment, or provider-facing solutions. Proven leadership experience managing multi-disciplinary product teams, including hiring, mentoring, performance management, and scaling organizations to deliver complex healthcare technology solutions. Solid understanding of clinical suspecting, concurrent coding workflows, risk adjustment models (e.g., CMS-HCC, HHS-HCC), and code sets / clinical vocabularies (ICD, LOINC, RxNorm). Expertise in healthcare interoperability standards (FHIR, HL7, CCD, Direct Messaging) and experience delivering API-driven, cross-platform solutions. Demonstrated ability to define strategy, lead cross-functional execution, and manage product teams. Excellent communication skills; able to bridge technical, clinical, and business conversations with credibility. Bachelor's degree in a related field (healthcare, business, technology).
Preferred: Experience with AI/ML models for disease prediction or real-time coding suggestions. Background in working with provider documentation teams, coders, or concurrent review vendors. Clinical experience or deep engagement with clinician stakeholders. Familiarity with audit requirements, medical record standards, and regulatory guidance impacting concurrent coding or risk adjustment. Product experience integrating into EHRs or care management platforms.
Key Performance Indicators (KPIs)
Product Impact: Suspect accuracy and clinical validation rates Risk capture lift and change rates through concurrent workflows Provider adoption and engagement metrics Chart completion rates and documentation improvement indicators
Team & Execution: Roadmap delivery pace and quality Team engagement, retention, and OKR progress Cross-functional collaboration and stakeholder satisfaction
Business & Strategic Outcomes: Revenue and margin contribution from clinical insights Customer expansion tied to prospective or concurrent modules Market recognition and competitive differentiation
You will play a crucial role in expanding a platform that empowers clinicians with data-driven disease predictions, improving clinical decision-making, patient outcomes, and healthcare efficiency. Your work will directly impact how healthcare providers deliver value-based care and ensure patients receive the most appropriate interventions.