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Form of workProduct Managers at Nuna guide our products from concept to launch and beyond! We're the voice of our customers within Nuna and love learning about their needs and challenges in order to craft better solutions. We work closely with Software Engineering, Data Engineering, Informatics, and Data Science across new and existing products at Nuna. We thrive in ambiguous situations, manage chaos with a sense of humor, and have a bias towards action that is data-driven and purposeful.
Data is the foundation and core currency that powers all of Nuna's products and a better future for healthcare. In this role, you'll partner and guide development of highly scalable, flexible, and common data technology that serves accurate data to all of Nuna's products, customers, and users.
YOUR OPPORTUNITIES- Set the vision and strategy for Nuna's common data model within the context of a healthcare-wide transition to value-based care
- Develop a modern, scalable, penny accurate data platform that seamlessly integrates healthcare data including claims, pharmacy, quality measures, enrollment, clinical data, and other enrichments
- Drive implementation strategy for terminology, standardization, and other third party integrations such as EHRs, provider panels, wearable devices, health information exchange (HIE), and admit discharge transfer (ADT) data
- Work cross functionally with software engineering, data, informatics and data science to build a complete, high quality offering
- Identify and pursue opportunities for automation to drive increased quality, faster insight delivery to customers, and lower product TCO
- Develop flexible and extensible data acquisition capabilities, enabling Nuna's products to acquire and leverage new and high-signal healthcare datasets (e.g. patient experience data, clinical data)
- Define clear, concrete objectives and success metrics to meet business goals
- Own the roadmap, prioritize feature development, and coordinate across teams to achieve product adoption among engineers, informaticists, user researchers, and Product Managers
- Build products that deliver value to internal users and business line products
- Clearly communicate progress, requirements and blockers
- A passion for data, clean operations, and working with cross functional teams
- Deep understanding of healthcare data, especially medical claims and data flows surrounding them
- Experience implementing terminology, standardization, and data quality frameworks
- Experience successfully launching enterprise data platform products and capabilities
- BA/BS degree in relevant technical discipline (e.g. Computer Science, Engineering, Mathematics, Physics, etc.) or equivalent practical experience
- Technical fluency in big data processing, cloud-based data management, SQL and noSQL databases
- Exceptional communication and listening skills, you break down problems and generate shared understanding across technical and non-technical audiences
- A get-it-done personality with a bias towards testing hypotheses and execution
- Ability to listen to users and translate their needs into product requirements
- Ability to ruthlessly prioritize competing demands across multiple stakeholders
- Strong track record of creative problem solving and overcoming challenges
- Experience within a healthcare payer
- Experience with implementation value based care arrangements
- Experience with applying AI to data integrations
- Hands-on software engineering experience
- A quantitative background with experience working with teams of data analysts and data scientists
We take into account an individual's qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance, life insurance, retirement benefits, participation in the company's equity program, paid time off, including vacation and sick leave. The expected salary range for this position is $135,000 to $258,0000. The actual offer will be at the company's sole discretion and determined by relevant business considerations, including the final candidate's qualifications, location, years of experience, and skillset.
