Senior Product Manager, Data

This is a fully remote position, open to applicants in India.

📋 Description

• Take ownership of the strategy and implementation for the system that ensures credentialed practitioners remain consistently compliant with NCQA standards.

• Manage the complete data provisioning experience, focusing on data elements, quality, and the authenticity of sources for historical compliance audits.

• Establish triggers for data requests and determine the most appropriate routing rules to the best source.

• Document each data acquisition attempt along with the raw response received.

• Oversee the economics of sources, considering factors such as cost, coverage, latency, and decisions on building versus buying solutions.

• Define practitioner attribution and matching processes utilizing identifiers and probabilistic matching models.

• Set quality benchmarks for false and missed matches and manage low-confidence review pathways.

• Govern survivorship and Master Data Management, incorporating golden records, merge/unmerge processes, audit trails, monitoring, and observability.

• Create explainability from the data source to the application interface.

• Collaborate with engineering to ensure trustworthy observability.

• Measure end-to-end data loss using attribute-level funnels and application data health metrics.

• Address pipeline and data escalations, differentiating between one-off fixes and product gaps.

• Minimize manual re-scrapes and stale-data tickets.

• Define effectiveness metrics for the data platform across applications, clients, sources, requests, matching, errors, issue explanations, and external data costs.

• Work in partnership with Application Product, Operations, Implementation, and Client Success teams.

⛳️ Requirements

• 5 to 8 years of relevant experience.

• A minimum of 3 years of technical product management experience focused on data products or backend solutions.

• Highly productive using Claude Code, Codex, Cursor, or comparable AI-native tools.

• Possess technical fluency in APIs, data pipelines, retries and orchestration, and third-party data integrations.

• Hands-on experience with data acquisition, scraping, or ingestion; as well as entity resolution, record linkage, MDM, or identity matching.

• Strong SQL skills and data literacy, including understanding of completeness and freshness metrics and basic data modeling.

• Familiarity with warehouse tooling; experience with BigQuery is a plus.

• Proven ability to convert manual operational workflows into product capabilities.

• Excellent written communication skills and the ability to create actionable specifications.

• Experience in healthcare technology, provider data management, credentialing, or working with NCQA/CMS-regulated data is preferred.

• Familiarity with rules/flagging engines, exception-review workflows, or compliance audit tools is a plus.

• Experience in developing AI-assisted internal tools, agentic triage/resolution, or support copilots is a plus.

• Knowledge of BigQuery, embedded analytics, or customer-facing compliance reporting is advantageous.

• Background as an engineering or technical implementation lead is beneficial.

• Exposure to startup/high-growth environments within data platforms or US SaaS applications is a plus.

• Must be legally authorized to work in the country where this position is based.

🏝️ Benefits

• 100% coverage of health, dental, and vision insurance premiums for employees.

• Unlimited PTO for US-based team members, ensuring at least two weeks off each year to recharge.

• Health insurance for employees located in India.

• Statutory leave benefits provided in India.

• Additional wellness (menstrual) leave offered for women in India.