Senior Product Manager, Analytics & Insights
Interwell HealthAbout the role
Interwell Health is a kidney care management company that partners with physicians on its mission to reimagine healthcare—with the expertise, scale, compassion, and vision to set the standard for the industry and help patients live their best lives. We are on a mission to help people and we know the work we do changes their lives. If there is a better way, we will create it. So, if our mission speaks to you, join us!
As the Senior Data Product Manager of Analytics & Insight-Driven products, you will spearhead the design, development, integration, and management of techniques and tools to fast-forward the time to insights across our data services, data analysts, data science, business product and reporting teams. This role centers on enhancing the tools and techniques we use to increase the quality of patient, provider, and payer data so that our internal customers get accurate, reliable, and timely data to perform analysis
What you'll do:
- Strategic Leadership: Define and drive the vision for our suite of techniques, tools and systems to drive speed and consistency of analytics and insight data products.
- Integration Management: Oversee the integration of diverse healthcare data sources including benefits verification, and critical data about patients, providers and payers. Manage wide range of integrations (batch and API-driven) with third-party providers, ensuring seamless data ingestion and analytical utility.
- Hands-on Product Development: Collaborate with engineering,healthcare insights, and design teams to prioritize, define, and deliver features that enhance data accessibility and usability. Maintain a product roadmap and release schedule that reflects business priorities and market dynamics. Perform, hands-on, exploratory data analysis and prototyping of data products and concepts to accelerate product development time.
- Stakeholder Engagement: Act as a liaison between technical teams and non-technical stakeholders, translating business needs into technical requirements and vice versa. Gather and incorporate feedback from users and stakeholders to continually refine our data solutions.
- Regulatory Compliance: Ensure all data processes comply with relevant regulations such as HIPAA and are designed with privacy and security at the forefront.
What you'll need:
- Education: Bachelor’s degree in Computer Science, Data Science, Data Analytics, Statistics, Information Systems, or a related field. Master’s degree preferred
- Experience: At least 7 years of experience in complex data management roles within healthcare or healthtech, including significant experience with master data management and healthcare data systems that have at least 100,000 patients and/or 10,000 providers.
- Prior experience as a Data Analyst, Data Scientist or Analytics (BI) Engineer is a plus
- Technical Proficiency: Deep understanding of patient, provider and payer data in large-scale healthcare systems, master data management,integrations with external systems. Experience with modern data analytics tools/suites like Databricks, Microsoft Fabric, PowerBI, Availity and Lexis Nexis preferred. In addition:
- SQL skills (querying, manipulating data)
- Experience creating dashboards with Data Visualization tools
- E.g. PowerBI, Matplatlib, Seaborn, Plotly, d3.js, Tableau, Looker, Qlik sense
- Data-curious/Data Intuition/Data Story telling: Ability to make inferences about users, business, and product value based on data; understanding the story the data tells and using it to drive decisions
- Healthcare Data Domain and Data Model Knowledge: Solid understanding of healthcare regulations and standards, including HIPAA,FHIR, Claims data formats and coding standards (ie ICD 10), Tuva, OMOP.
- Innovative Mindset: A track record of implementing innovative data solutions in complex environments.
- Leadership: Proven ability to lead cross-functional teams and lead large init
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