Our partner is looking for a Senior Product Manager, Data based in India. In this role, you will lead the strategy and development of a data platform that powers modern healthcare technology and enables reliable provider information at scale. You will own the end-to-end data provisioning experience, ensuring data accuracy, quality, traceability, and compliance with industry standards. Working at the intersection of technical product management, data infrastructure, and AI-driven automation, you will help transform manual, service-oriented processes into scalable, self-service product capabilities. You will drive improvements across data sourcing, ingestion, entity resolution, and master data management. Collaborating closely with engineering, operations, implementation, and client success teams, you will ensure that data pipelines remain trustworthy, efficient, and cost-effective. Accountabilities: - Own data acquisition strategy: Define how data needs are detected and determine the most effective sources for fulfilling requests, including APIs, bulk files, web scraping, third-party vendors, direct outreach, and human review. - Optimize data sourcing: Evaluate and manage the cost, coverage, reliability, and latency of data sources, making informed decisions about when to build, buy, or integrate external solutions. - Lead data attribution and matching: Drive master data management: Establish governance rules for source prioritization, golden records, data merging and unmerging, audit trails, and configurable attribute-level data management. - Improve data transparency and explainability:



Ensure teams can trace data issues from the original source through to the application, working with engineering to implement robust monitoring and observability capabilities. - Monitor end-to-end data quality: Build metrics and reporting that identify where data is lost, incomplete, or outdated throughout the acquisition and delivery process. - Manage data pipeline escalations, distinguish recurring product gaps from isolated issues, and reduce manual interventions, unnecessary re-scraping, and stale-data incidents. - Establish performance indicators covering source success rates, data freshness, matching precision and recall, automation rates, error detection, resolution times, and external data costs per practitioner. - Promote AI-driven automation: Move the platform toward scalable, self-service, AI-native workflows that reduce operational complexity and improve efficiency across product and operations teams. Requirements: - Qualified experience: 5–8 years of overall professional experience, including at least 3 years in technical product management, preferably working on data products or backend platforms. - Strong understanding of APIs, data pipelines, orchestration, retries, and third-party data integrations. - Data acquisition or management experience: Hands-on experience in at least one of the following areas: data acquisition, web scraping, data ingestion, entity resolution, record linkage, master data management, or identity matching. - SQL and data analytics: Strong SQL skills and data literacy, including experience with data completeness, freshness metrics, data modeling fundamentals, and warehouse tools. Familiarity with BigQuery is an advantage.

📌 Senior Product Manager - Data | AI Products (India)
🏢 Jobgether
📍 India