Technical Project Manager

Machine Learning Technologies, LLC; Chicago (IL); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC seeks an experienced Technical Project Manager to lead enterprise-scale Data Lakehouse Hydration and Data 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 for advanced analytics and AI insights.

Responsibilities include leading data ingestion, transformation, governance, and security

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, Data Warehousing, ETL/ELT, Data Governance, and Cloud Data Platforms.
• Hands-on exposure to Databricks, SQL, and Power BI.
• Experience leading Agile/Scrum and hybrid delivery programs operating out from India offshore.

Responsibilities

• Lead Data Lakehouse implementation, migration, and data hydration programs.
• Manage 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.

Skills

Stakeholder management

Cross-functional leadership

Agile/Scrum

Tools

Databricks

SQL

Power BI

Job description

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 Databricks-based data platforms, integrating policy, claims, enrollment, member, carrier, and financial data to enable advanced analytics, reporting, and AI-driven insights.

Key Responsibilities:

• 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.

Required Skills & Experience:

• 10+ years of Project/Program Management experience.
• 8+ years managing Data & Analytics or Data Modernization programs.
• Experience within Health & Benefits domain.
• 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.

Preferred Qualifications:

• 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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.