Senior Director, AI/ML Engineering — Remote Impact

Optum; Eden Prairie (MN); Hybrid; USD 203,000 - 348,000; Full time

Job summary

Optum seeks a Senior Director of AI/ML Engineering to define and execute enterprise data and AI strategy across PBM, health services, financials and corporate functions. This role will build scalable data platforms, AI-enabled analytics, and self-service BI, delivering trusted insights and governance across the organization.

You'll lead data engineering, data architecture, AI engineering, and analytics enablement, partnering with executives to translate data into business outcomes, leveraging

Qualifications

• Bachelor's degree in a related field.
• 8+ years in data engineering/architecture/cloud platforms.
• 5+ years leading enterprise data modernization initiatives.
• Deep expertise with Databricks, Snowflake, Lakehouse architectures, and governance.

Responsibilities

• Define and execute the enterprise data and AI engineering strategy.
• Develop a multi-year roadmap for modernizing data platforms and AI enablement.
• Establish data governance, quality, lineage, metadata, and observability standards.
• Lead design, implementation, and operation of cloud-based data platforms.
• Lead enterprise architecture patterns leveraging Databricks and Snowflake.
• Transform reporting environments into AI-powered analytics ecosystems.
• Drive AI adoption for BI, including natural language analytics and predictive insights.
• Enable self-service analytics with trusted data for business users.
• Define enterprise semantic layer architecture for consistent metrics.

Skills

Databricks

Snowflake

Data engineering

Data architecture

AI/ML leadership

Enterprise analytics

Cloud platforms

Stakeholder alignment

Education

Bachelor's degree

Master's degree

Tools

Unity Catalog

Delta Lake

dbt

Job description

Optum seeks a Senior Director of AI/ML Engineering to define and execute enterprise data and AI strategy across PBM, health services, financials and corporate functions. This role will build scalable data platforms, AI-enabled analytics, and self-service BI, delivering trusted insights and governance across the organization.

You'll lead data engineering, data architecture, AI engineering, and analytics enablement, partnering with executives to translate data into business outcomes, leveraging