Product Manager, Data

About Us

Siftwell Analytics is a fast-growing company that combines healthcare operator expertise and artificial intelligence to equip community health plans with better insights to drive earlier and more precise health interventions for members. Siftwell was founded with a fundamental commitment to address the unique challenges faced by community health organizations, beginning with Medicaid, Marketplace, and Medicare plans, who are entrusted with the care of our most vulnerable and complex populations.

At Siftwell, we are committed to providing a mutually respectful work environment. We believe diversity and inclusion among our teammates are critical to our success. We seek to recruit, develop, and retain the most talented professionals from a diverse candidate pool, and we work to enable a culture in which all talented individuals can develop, have fun, and thrive.

Location & Hiring Eligibility

This role is remote within the United States. We have an established presence in CO, FL, MA, MD, NC, NJ, NY, PA, and TN, and candidates in these states are encouraged to apply. If you're based elsewhere in the U.S., we'd still love to hear from you, we evaluate out-of-state candidates on a case-by-case basis.

This role operates primarily during U.S. Eastern Time business hours.

About the Role

The Product Manager, Data owns the data layer as a product surface area at Siftwell and is responsible for defining how health plan data enters, maps to, and is represented within the platform. This role ensures that client data is translated into clear, consistent product logic that powers Siftwell’s analytics and operational workflows.

This role sits at the intersection of client engagement, product development, and data engineering. The Product Manager, Data works directly with health plan clients to understand their data environments, align how their data should be structured and applied within Siftwell’s platform, and partner with engineering to translate those requirements into scalable product capabilities.

Internally, this person owns the data product roadmap across the client lifecycle: defining Siftwell’s canonical data model, building repeatable onboarding and implementation specifications, establishing data quality standards, and translating healthcare domain knowledge into engineering-ready specifications as the platform evolves.

Successful candidates for this role are comfortable moving between client conversations and technical product decisions. They are able to reason through messy healthcare data environments, identify the logic behind how data should support real operational workflows, and translate those insights into clear product specifications that scale across customers.

This role reports to the Head of Product and may require occasional travel for client engagement and team collaboration.

All new hires are subject to a one-time drug screening in accordance with Siftwell’s PHI compliance policies.

Responsibilities

Client-Facing Data Engagement

• 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.

Data Product Ownership

• 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.

Cross-Functional Collaboration

• 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

Required

• 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.

Preferred

• Experience at a healthcare SaaS company, population health vendor, or payer-facing analytics organization.

• Familiarity with healthcare classification systems such as AHRQ CCSR, ICD-10, CPT/HCPCS, or CMS specifications.

• Experience working with Medicaid, Medicare, or Marketplace health plan data environments.

• Experience building repeatable onboarding processes, data playbooks, or implementation frameworks.

Application Timeline and Details

We anticipate the application window for this opening will close on: April 30th, 2026. Submission does not guarantee selection, and Siftwell reserves the right to modify or close the hiring process at any time.

Only shortlisted candidates will be contacted. All applications will be retained for future consideration.

Candidates will complete a healthcare data scenario assessment as part of the interview process to demonstrate domain knowledge, data reasoning, and product judgment.

Disclosures

Benefits Overview

At Siftwell, we hire Humble Killers — talented, mission-driven teammates who value impact, collaboration, and ownership. Our goal is to support that commitment through competitive pay, meaningful equity, and benefits that promote well-being, growth, and flexibility.

Full-time Employment Opportunities include:

• 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

• Benefits may vary based on location and employment status.

Equal Opportunity Statement

Siftwell celebrates diversity and is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability status, veteran status, or any other characteristic protected by law.

Qualified applicants with arrest or conviction records will be considered in accordance with applicable laws, including the California Fair Chance Act.

ADA Accommodation Statement

If you require a reasonable accommodation during a selection process, please let us know through our general contact form or indicate this in your application.

Security Requirements

• Adhering to the Company Security and Privacy Policies and the associated security standards

• Maintaining the security of the Information assets and resources to which they have been granted access

• Ensuring direct reports are aware of and adhere to Company Security and Privacy Policies

• Ensuring the security of information and managing risks to assets and resources owned by their functional area

• Ensuring that contractors, consultants, partners and other third parties under their sponsorship operate in compliance with Company policy

• Monitoring compliance related to business assets owned by their functional area and taking corrective action as necessary