Principal Product Manager

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.

As a Senior Product Manager, you lead key partner and platform integration products within the business unit product portfolio, with a strong focus on AI/ML-powered capabilities. You work across Product, AI/ML Engineering, Data Science, Legal/Compliance, Operations, and Sales to translate business needs into scalable product solutions that deliver value for clients and support business growth. You bring a strong understanding of the AI/ML product lifecycle and help ensure products are differentiated, measurable, and responsibly designed for healthcare and enterprise use cases. What You'll Do • Define and drive product strategy and roadmap for key partner, platform integration, and AI/ML-powered products within the business unit portfolio. • Translate business problems into AI/ML use cases, including predictive models, NLP, and GenAI/LLM-based capabilities, in partnership with AI/ML Engineering and Data Science. • Manage product planning by gathering and prioritizing input from internal and external stakeholders, aligning requirements with business goals and market needs. • Own the AI product lifecycle, including problem framing, data requirements, model evaluation criteria, validation considerations, responsible AI and bias review, deployment planning, and go-to-market readiness. • Coordinate platform dependencies and lead cross-functional teams through release planning and go-to-market activities to support successful product launches and enhancements. • Define and track success metrics and KPIs for AI/ML features, including accuracy, precision/recall, latency, adoption, and business ROI, and monitor post-launch model performance with Data Science. • Champion responsible AI practices in product design, including data privacy, explainability, bias mitigation, and regulatory compliance, including HIPAA. • Partner with Engineering, Operations, and Sales to develop new products and enhance existing products to strengthen market position and competitive differentiation. What You'll Need • 8 to 12 years of experience managing AI/ML or data-driven products, with working knowledge of the AI/ML lifecycle, including data collection, model training, validation, deployment, and monitoring. • Full-time graduation degree, or equivalent combination of education and experience required. • Ability to collaborate effectively with Data Science and ML Engineering teams and translate technical AI concepts for business and executive audiences. • Working knowledge of AI/ML-powered product development, including model evaluation, data requirements, post-launch monitoring, and business outcome measurement. • Familiarity with success metrics and KPIs for AI/ML features, including accuracy, precision/recall, latency, adoption, and business ROI. • Knowledge of responsible AI practices, including data privacy, explainability, bias mitigation, and healthcare regulatory compliance such as HIPAA. • Nice to have: Familiarity with GenAI/LLM technologies and their application to enterprise and healthcare products. • Demonstrate growth potential and learning agility by staying curious, learning new AI/ML capabilities, and applying new knowledge to improve product outcomes as business needs evolve. • Demonstrate leadership