Senior Product Manager ( Data Analytics )

8 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Role: Senior Product Manager ( Data Analytics )Experience : 8 - 12 YearsLocation: Chennai

Key Responsibilities

  • Define and drive the product vision and roadmap for analytics, BI dashboards, and integrated data platforms
  • Lead the design and development of unified data retrieval systems integrating EMRs, claims, patientoutcomes, and operational data
  • Partner with data engineering teams to build scalable, high-quality data pipelines feeding Looker,Tableau, and Power BI dashboards
  • Translating healthcare business needs (cost, quality, utilization, risk adjustment) into robust, self-service analytics capabilities
  • Establish and prioritize product requirements, balancing immediate reporting needs with long-termdata platform strategy
  • Collaborate with compliance, security, and clinical operations to ensure HIPAA and healthcare datagovernancestandards are met
  • Champion analytics adoption across internal teams, providers, and external partners through training,

Required Qualifications

  • 7+ years of experience in product management, data analytics, or BI product ownership, with strong focus on healthcare data (claims, EMR/EHR, quality metrics, cost/utilization)
  • Proven success delivering enterprise-scale BI systems and dashboards (Looker, Tableau, Power BI)
  • Solid understanding of data integration, ETL processes, and data warehouse architecture (Snowflake, BigQuery, Redshift, or equivalent)
  • Demonstrated ability to translate business requirements into scalable analytics solutions
  • Experience working with cross-functional teams (engineering, clinical operations, compliance)
  • Excellent communication, stakeholder management, and leadership skills

Bonus Skills

  • Experience building self-service analytics platforms for clinicians, payers, or healthcareadministrators
  • Knowledge of HL7, FHIR, and healthcare interoperability standards
  • Familiarity with value-based care models, risk adjustment, quality reporting (HEDIS, Stars),population health analytics
  • Exposure to predictive analytics, AI/ML, and advanced visualization techniques
  • Prior experience in value-based care, payer, or provider analytics environments

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