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Job Overview
Location
Charlotte, NC
Job Type
Full-time
Category
Product Manager
Date Posted
March 18, 2026
Full Job Description
đź“‹ Description
- • As the Product Manager, Data at Siftwell Analytics, you will own the data layer as a product surface area, ensuring that complex healthcare data from Medicaid, Marketplace, and Medicare plans is accurately translated into scalable, consistent product logic that powers analytics and operational workflows for community health plans serving vulnerable populations. This role is critical to Siftwell’s mission of enabling earlier and more precise health interventions by bridging the gap between messy real-world healthcare data and actionable insights.
- • You will lead technical data discussions with health plan clients to understand their data environments (EDI 834/837, claims, eligibility, clinical data), define how their data maps to Siftwell’s platform, and serve as the primary technical counterpart in onboarding meetings alongside Customer Success, using your expertise to guide productive, solution-oriented conversations.
- • You will build and maintain a standardized onboarding data playbook that defines required data formats, field mappings, and delivery expectations for new clients, while identifying data availability gaps early and collaborating with clients and internal teams to define workarounds or phased implementation approaches.
- • You will own Siftwell’s data model roadmap, including the gold-layer schema, condition classification mappings (e.g., AHRQ CCSR), population definitions, and derived metrics, and define canonical data specifications that translate healthcare domain knowledge into engineering-ready documentation for areas such as cost calculation logic, quality measure dependencies, and eligibility processing.
- • You will define specifications for new data capabilities as the platform expands into additional healthcare domains (e.g., foster care, D-SNP, behavioral health), incorporating relevant regulatory and definitional requirements, and establish data quality, governance, and validation frameworks grounded in clinical and operational logic.
- • You will write PRDs and technical specifications for data model changes, new data integrations, and pipeline enhancements, operating in a pod structure with the data engineering team where you own prioritization and specifications while engineering owns execution and architecture.
- • You will partner with Product leadership to ensure data model decisions align with overall platform strategy and roadmap priorities, collaborate with Customer Success to distinguish between onboarding tasks, product feature requests, and out-of-scope client requests, and translate patterns observed across client onboardings into repeatable platform capabilities.
- • You will communicate data architecture decisions and onboarding requirements clearly to both technical and non-technical stakeholders, including client executives, ensuring alignment and transparency across teams.
- • You will work within Siftwell’s mission-driven, inclusive culture that values diversity, respect, and the opportunity for talented individuals to develop, have fun, and thrive while addressing systemic challenges in community healthcare.
- • You will report to the Head of Product and may require occasional travel for client engagement and team collaboration, operating primarily during U.S. Eastern Time business hours from a remote location within the United States.
🎯 Requirements
- • 6+ years of experience in healthcare data, analytics, implementation, or related roles within healthcare technology, analytics, or payer organizations.
- • Strong knowledge of healthcare data standards and file types, including EDI 834/837 transactions, claims, eligibility, and clinical datasets.
- • Experience leading client-facing technical discussions during implementation, onboarding, or data integration engagements.
- • Hands-on experience analyzing healthcare datasets using SQL, Python, or Excel and translating insights into data specifications, models, or mapping requirements for engineering teams.
- • Experience defining how external client data maps to internal platform data models, including field mappings, transformation logic, and validation requirements.
- • Familiarity with healthcare quality and operational concepts such as HEDIS, population health, risk adjustment, or medical economics.
- • Strong product judgment with the ability to distinguish one-off client requests from scalable platform solutions.
🏖️ Benefits
- • Comprehensive health, dental, and vision insurance
- • Short-term disability coverage
- • 401(k) retirement plan with company matching
- • Unlimited paid time off to rest and recharge
- • Opportunities for ongoing professional development and learning
Skills & Technologies
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About Siftwell Analytics, Inc.
Siftwell Analytics, Inc. offers an AI-powered intelligence solution designed to provide community health plans with actionable insights. Their platform combines clinical, social, and environmental data to identify hidden member risks and recommend targeted interventions. Built by managed care operators, Siftwell aims to deliver precision care by enhancing human judgment with AI. They help health plans deliver the right care to the right members at the right time, moving beyond spreadsheets to clear, actionable intelligence. Mountain Health Co-Op partnered with Siftwell and saw unprecedented growth using their precision AI member insights.
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