Senior Product Manager, Data
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Job Description
Senior Product Manager owning data provisioning, matching, and quality for CertifyOS’s healthcare provider infrastructure. Driving trustworthy, scalable compliance data products.
Responsibilities:
- Own the strategy and execution for the system that keeps credentialed practitioners continuously compliant with NCQA standards
- Own the end-to-end data provisioning experience, data elements, data quality, and source veracity for historical compliance audits
- Define triggers for data requests and routing rules to the best source
- Record every data acquisition attempt and raw response
- Manage source economics, including cost, coverage, latency, and build-versus-buy decisions
- Define practitioner attribution and matching using identifiers and probabilistic matching models
- Set quality standards for false and missed matches and own low-confidence review paths
- Govern survivorship and Master Data Management, including golden records, merge/unmerge, audit trails, monitoring, and observability
- Build explainability from data source to application screen
- Partner with engineering on trustworthy observability
- Measure end-to-end data loss through attribute-level funnels and application data health metrics
- Triage pipeline and data escalations and distinguish one-off fixes from product gaps
- Reduce manual re-scrapes and stale-data tickets
- Define data platform effectiveness metrics across applications, clients, sources, requests, matching, errors, issue explanation, and external data cost
- Partner with Application Product, Operations, Implementation, and Client Success teams
Requirements:
- 5 to 8 years of experience
- At least 3 years of technical product management experience with data products or backend products
- Highly productive with Claude Code, Codex, Cursor, or similar AI-native tools
- Technical fluency across APIs, data pipelines, retries and orchestration, and third-party data integrations
- Hands-on experience with data acquisition, scraping or ingestion; or entity resolution, record linkage, MDM or identity matching
- Strong SQL and data literacy, including completeness and freshness metrics and data modeling basics
- Experience with warehouse tooling; BigQuery is a plus
- Experience turning manual operational workflows into product capability
- Clear written communication and ability to write buildable specifications
- Healthcare technology, provider data management, credentialing, or NCQA/CMS-regulated data experience is nice to have
- Experience with rules/flagging engines, exception-review workflows, or compliance audit tooling is nice to have
- Experience building AI-assisted internal tools, agentic triage/resolution, or support copilots is nice to have
- Familiarity with BigQuery, embedded analytics, or customer-facing compliance reporting is nice to have
- Engineering or technical implementation lead background is nice to have
- Startup/high-growth experience in data platforms or US SaaS applications is nice to have
- Legally authorized to work in the country where this role is based
Benefits:
- 100% coverage of health, dental, and vision insurance premiums for employees
- Unlimited PTO for US-based team members, with at least two weeks off each year to recharge
- Health insurance for employees in India
- Statutory leave benefits in India
- Additional wellness (menstrual) leave for women in India
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