Senior Product Manager – Data & AI
| Company | SmithRx |
|---|---|
| Location | Washington, USA, Kansas, USA, Pennsylvania, USA, California, USA, Texas, USA, Florida, USA, Nevada, USA, South Carolina, USA, Georgia, USA, Arizona, USA, Tennessee, USA, Virginia, USA, Arkansas, USA, Minnesota, USA, Colorado, USA, Utah, USA, Wisconsin, USA, North Carolina, USA, Missouri, USA, Ohio, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- 7+ years of product management experience, with a focus on data-centric or AI-driven products.
- 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.
Responsibilities
- Define and lead the product vision and roadmap for data and AI-powered features across the platform.
- Work with engineering, data science, and design to deliver new tools and functionality from concept to launch with speed and quality.
- Translate business and user needs into actionable requirements and clearly communicate how data and AI can deliver measurable value.
- Conduct discovery, research, and rapid experimentation to validate ideas and prioritize high-impact opportunities.
- Define and track KPIs, using data to iterate and improve products post-launch.
- Advocate for members, partners, brokers and internal product users from usage and product analysis to inform improvements.
- Align and collaborate across Engineering, UX, Operations, and client-facing teams to drive delivery and impact.
Preferred Qualifications
- Experience in health-tech, pharmacy benefits, or healthcare data environments strongly preferred.
- Proven success launching products that leverage data science, ML, or advanced reporting and analytics.
- Advanced degree a plus.