Technical Project Manager with Health & Benefits Domain
Technology
Job Description
Technical Project Manager – Data Lakehouse & Analytics
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Insurance Brokerage & Health & Benefits Domain | Chicago, IL
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Job Summary
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We are seeking an experienced Technical Project Manager to lead enterprise-scale Data Lakehouse Hydration and Data Modernization initiatives for Insurance Brokerage and Health & Benefits clients. The role will be responsible for driving end-to-end delivery of cloud-based data platforms, integrating policy, claims, enrollment, member, carrier, and financial data to enable advanced analytics, reporting, and AI-driven insights.
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Key Responsibilities
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- Lead Data Lakehouse implementation, migration, and data hydration programs.
- Manage project scope, budget, timelines, risks, dependencies, and stakeholder communications.
- Coordinate cross-functional teams including data engineers, architects, analysts, business SMEs, and vendors.
- Drive ingestion, transformation, and harmonization of insurance and benefits data into Bronze, Silver, and Gold layers.
- Oversee cloud data platform delivery using Databricks.
- Ensure data quality, governance, lineage, security, and regulatory compliance (HIPAA, ACA, ERISA).
- Partner with business stakeholders to deliver reporting, analytics, and self-service BI capabilities.
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Required Skills & Experience
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- 10+ years of Project/Program Management experience.
- 5+ years managing Data & Analytics or Data Modernization programs.
- Experience within Insurance Brokerage, Employee Benefits, Health & Benefits, or Healthcare Insurance domains would be a big plus.
- Strong understanding of Data Lakehouse, Data Warehousing, ETL/ELT, Data Governance, and Cloud Data Platforms.
- Hands-on exposure to Databricks, SQL & Power BI.
- Experience leading Agile/Scrum and hybrid delivery programs operating out from India offshore.
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Preferred Qualifications
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- PMP, Scrum Master, SAFe, or equivalent certification.
- Experience working with brokers, carriers, TPAs, benefits administration, enrollment, claims, and member data ecosystems.
- Knowledge of AI/ML enablement and data product development.
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