Senior Director AI/ML Engineering - Remote

For our client, we are seeking a Senior Director AI/ML Engineering - Remote to join the team of a leader in the Healthcare space.

This leader will shape the enterprise data and AI engineering strategy, driving the modernization of cloud-based data platforms and analytics capabilities across the organization. The role will partner closely with business, technology, and analytics stakeholders to build scalable foundations for AI-powered decision-making, data governance, and self-service access. This is a high-impact opportunity to influence how enterprise data is engineered, governed, and activated to support better outcomes across a complex healthcare environment.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $203,200 – $348,400 annually

Responsibilities

• Define and execute the enterprise data and AI engineering strategy.
• Develop a roadmap for modernizing data platforms and analytics capabilities.
• Establish enterprise standards for data governance and quality.
• Lead the design and implementation of cloud-based data platforms.
• Drive the transformation into AI-powered analytics ecosystems.
• Enable self-service analytics for business users.
• Develop reusable business data models for complex data access.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.
• 8+ years of progressive experience in data engineering, data architecture, analytics, or cloud data platforms.
• 5+ years of experience building large-scale enterprise data platforms for analytics and AI.
• 5+ years of experience leading enterprise data modernization initiatives.
• Deep expertise with Databricks, Snowflake, and modern ETL/ELT frameworks.

Benefits

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase options
• 401k contribution
• Flexible remote work options for most employees.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.