Product Manager, Data
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Job Description
Product Manager for healthcare data analytics at Siftwell Analytics working with health plan clients. Responsible for data layer management, ensuring consistency and accuracy in data usage.
Responsibilities:
- Lead technical data discussions with health plan clients to understand data environments and define how client data should map to Siftwell’s platform.
- Serve as the primary technical counterpart in client onboarding meetings alongside Customer Success, using deep familiarity with healthcare data standards (EDI 834/837, claims, eligibility, clinical data) to guide productive discussions.
- Evaluate client data delivery approaches and guide clients toward formats that align with Siftwell’s platform data model.
- Build and maintain a standardized onboarding data playbook defining required data formats, field mappings, and delivery expectations for new clients.
- Identify data availability gaps early and work with clients and internal teams to define workarounds or phased implementation approaches.
- Own Siftwell’s data model roadmap, including the gold-layer schema, condition classification mappings (e.g., AHRQ CCSR), population definitions, and derived metrics.
- Define and maintain canonical data specifications that translate healthcare domain knowledge into engineering-ready documentation for areas such as condition mapping, cost calculation logic, quality measure dependencies, and eligibility processing.
- Define specifications for new data capabilities as the platform expands into additional healthcare domains (e.g., foster care, D-SNP, behavioral health), including relevant regulatory and definitional requirements.
- Define data quality, governance, and validation frameworks that incorporate domain-informed validation of clinical and operational logic.
- Write PRDs and technical specifications for data model changes, new data integrations, and pipeline enhancements.
- Operate in a pod structure with the data engineering team, owning prioritization and specifications while engineering owns execution and architecture.
- 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.
- Translate patterns observed across client onboardings into product improvements — turning recurring bespoke work into repeatable platform capabilities.
- Communicate data architecture decisions and onboarding requirements clearly to both technical and non-technical stakeholders, including client executives.
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
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