Senior Product Manager - Data & AI

SmithRx is a rapidly growing, venture-backed Health-Tech company dedicated to transforming the Pharmacy Benefit Management sector. The Senior Product Manager – Data & AI will lead the product strategy and execution for core platform capabilities that utilize data, analytics, machine learning, and Generative AI to enhance automation and decision-making across the organization.

Responsibilities:

• Lead data and reporting foundations / readiness, and AI-based solutions, partnering closely with the Platform Integrations & Adjudications PM team
• Implement the product analytics framework within the Integration, Adjudication and Core Data systems experiences; own tagging and data collection requirements; lead/administer A/B testing experiments, measurements and readouts; supporting the ROI model that guides investment decisions
• Partner with the PM team to drive the identification, discovery, delivery and testing of new AI-based solutions within the Integrations, Adjudication & Core Data Systems Intelligence Platform product area
• Drive prioritization, triage, and remediation workflows for data quality issues, aligned with our enterprise-level Data Quality governance standards
• Own requirements and execution for pre-launch claims ingestion, automation/self-service ingestion workflows, and the data components powering the SmithRx Sales Proposal Engine
• Own and prioritize invoicing enhancements and defects. Leading the requirements and cross-functional delivery for our new invoicing workflows, driving the long-term EDW + ERP invoicing redesign
• Own product requirements, data modeling, field mapping, and integration workflows across Platform <> Salesforce <> EDW to ensure scalable and accurate data availability

Requirements:

• 7+ years of product management experience, with a focus on data-centric or AI-driven products
• Proven success launching products that leverage data science, ML, or advanced reporting and analytics
• Strong technical fluency and experience collaborating closely with engineers and data analysts
• Experience with complex systems, integrations, and healthcare datasets
• Excellent communication and storytelling skills—able to clearly translate between business and technical audiences
• Thrives in fast-paced, high-accountability environments with a strong sense of ownership
• Bachelor's degree in a technical, business, or related field
• Experience in health-tech, pharmacy benefits, or healthcare data environments strongly preferred
• Experience navigating complex, high-dependency technical ecosystems with multiple intersecting data domains is highly preferred
• Advanced degree a plus