Interwell Health

Senior Product Manager, Operational & Insight-Driven Products

United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Health InsuranceIndustries

Requirements

Candidates must possess a Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Information Systems, or a related field, with a Master's degree being preferred. A minimum of 7 years of experience in complex data management roles within healthcare or healthtech is required, specifically including master data management and healthcare data systems. Experience as a Data Analyst, Data Scientist, or Analytics Engineer is a plus. Deep understanding of patient, provider, and payer data in large-scale healthcare systems, master data management, and external system integrations is essential. Proficiency in SQL for data querying and manipulation, and experience creating dashboards with data visualization tools like PowerBI, Matplotlib, Seaborn, Plotly, d3.js, Tableau, Looker, or Qlik Sense are necessary. Familiarity with modern data analytics tools/suites such as Databricks, Microsoft Fabric, PowerBI, Availity, and Lexis Nexis is preferred. Strong data curiosity, intuition, and storytelling abilities are required, along with solid knowledge of healthcare data, data models, regulations, and standards including HIPAA, FHIR, Claims data formats, coding standards (ICD 10), Tuva, and OMOP. An innovative mindset and proven leadership skills in cross-functional teams are also necessary.

Responsibilities

The Senior Data Product Manager will define and drive the vision for techniques, tools, and systems to accelerate the speed and consistency of operational and insight data products. Responsibilities include overseeing the integration of diverse healthcare data sources, managing integrations with third-party providers for seamless data ingestion, and ensuring business operation and analytical utility. The role involves collaborating with engineering, healthcare insights, and design teams to prioritize, define, and deliver features that enhance data accessibility and usability, while maintaining a product roadmap and release schedule. Additionally, the Senior Data Product Manager will perform hands-on exploratory data analysis and prototyping, act as a liaison between technical and non-technical stakeholders, translate business needs into technical requirements, and ensure all data processes comply with relevant regulations such as HIPAA, with privacy and security at the forefront.

Skills

Product Management
Data Products
Healthcare Data
Data Integration
API
Batch Processing
Data Analysis
Prototyping
Product Roadmap
Release Management

Interwell Health

Specialized kidney care management services

About Interwell Health

Interwell Health manages kidney care by partnering with physicians to improve healthcare for patients with kidney disease. They focus on early detection and prevention, aiming to enhance patient outcomes and quality of life while reducing healthcare costs. Their services include patient education, personalized care plans, and data analytics, all designed to delay the progression of kidney disease. By aligning their financial incentives with patient health outcomes, Interwell Health is dedicated to transforming kidney care through a value-based approach.

Waltham, MassachusettsHeadquarters
2014Year Founded
$64.2MTotal Funding
SERIES_BCompany Stage
HealthcareIndustries
501-1,000Employees

Benefits

Remote Work Options
Flexible Work Hours

Risks

Integration challenges with Epic EHR could lead to operational inefficiencies.
Expansion into Florida may face complex regulatory hurdles.
Rapid provider network growth could strain resources and affect care quality.

Differentiation

Interwell Health integrates with Epic EHR for seamless nephrology care management.
The company focuses on early detection and prevention of kidney disease.
Interwell Health partners with over 2,000 nephrologists nationwide.

Upsides

Telehealth expansion offers remote monitoring and consultations for kidney care.
AI-driven predictive analytics enhance early detection and intervention strategies.
Partnerships with tech firms can improve data analytics and patient management.

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