Senior Data Lakehouse PM - Databricks & AI Delivery

Ethereum Technologies; Chicago (IL); On-site; USD 120,000 - 190,000; Full time

Job summary

Ethereum Technologies in Chicago is seeking an experienced Technical Project Manager to lead enterprise-scale Data Lakehouse hydration and modernization initiatives for Insurance Brokerage and Health & Benefits clients.

You will drive end-to-end delivery of Databricks-based data platforms, integrating policy, claims, enrollment, member, carrier, and financial data to enable advanced analytics, reporting, and AI-driven insights.

Qualifications

• 10+ years of Project/Program Management experience.
• 8+ years in Data & Analytics or Data Modernization programs.
• Experience in Health & Benefits domain.
• Strong understanding of Data Lakehouse concepts and cloud platforms.
• Hands-on Databricks, SQL and Power BI experience.
• Experience leading Agile/Scrum and hybrid delivery, including offshore.

Responsibilities

• Lead Data Lakehouse implementation and data hydration programs.
• Manage scope, budget, timelines, risks, dependencies, and communications.
• Coordinate cross-functional teams of engineers, analysts, SMEs, and vendors.
• Drive ingestion, transformation, and harmonization across Bronze/Silver/Gold layers.
• Oversee cloud data platform delivery using Databricks.
• Ensure data quality, governance, lineage, security, and regulatory compliance (HIPAA/ACA/ERISA).
• Partner with stakeholders to deliver reporting, analytics, and self-serve BI.

Skills

Project management

Data & analytics governance

Stakeholder management

Agile/Scrum

Education

PMP or equivalent certification

Health/Benefits domain knowledge

Tools

Databricks

SQL

Power BI

Job description

Ethereum Technologies in Chicago is seeking an experienced Technical Project Manager to lead enterprise-scale Data Lakehouse hydration and modernization initiatives for Insurance Brokerage and Health & Benefits clients.

You will drive end-to-end delivery of Databricks-based data platforms, integrating policy, claims, enrollment, member, carrier, and financial data to enable advanced analytics, reporting, and AI-driven insights.