Senior Product Manager, Data

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🔥 6 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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CertifyOS

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2021

🏥 Healthcare

☁️ SaaS

🤝 B2B

💰 $40M Series B - Certify on 2025-06

Healthcare • SaaS • B2B

CertifyOS is a healthcare-focused provider data platform that consolidates and verifies provider information to create a single, AI-enabled source of truth. It replaces spreadsheets and point solutions with infrastructure for credentialing, contracting, payments, compliance, and provider data management, offering services like credentialing, licensing, monitoring, and roster management. The platform ingests rosters and real-time feeds, validates records against thousands of sources, and delivers a continuous, clean data stream accessible via one API. CertifyOS is positioned as a B2B SaaS solution for health plans, digital health companies, and health systems, claiming measurable operational improvements (e. g. , reduced re-credentialing costs, faster onboarding) and listing major health plans among its clients.

📋 Description

• 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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