Director of Data, AI & Analytics Engineering

Cambia Health Solutions, Inc.; Salt Lake City (UT); Hybrid; USD 198,000 - 270,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Health savings account

Generous paid time off

401(k) with company match

Parental leave

Wellness programs

Employee Assistance Fund

Commuter and parking benefits

Job summary

Cambia Health Solutions, Inc. seeks a Director of Data & Analytics Engineering to lead teams powering critical systems, clinical data foundations, and AI pipelines.

Hybrid role with offices across multiple cities; strong emphasis on modernizing legacy platforms and driving data-driven healthcare improvements. Ideal candidate has 15+ years leading engineering, analytics and AI, with experience in multi-cloud, data modeling, and regulatory environments.

Qualifications

• Bachelor’s degree in CS or Engineering required; Master’s preferred.
• 15+ years leading engineering, analytics and AI teams in large enterprises.
• Experience with multi-cloud environments and modern data/AI platforms.
• Strong data modeling and legacy-to-modern data platform modernization.
• Able to communicate with executives and navigate complex, matrixed environments.
• Healthcare knowledge and HIPAA/compliance familiarity preferred.

Responsibilities

• Lead data foundation work focused on clinical data and outcomes.
• Oversee data ingress/egress, interoperability, and AI applications.
• Drive migration of legacy systems to modern architectures.
• Build and grow a high-performing engineering organization.
• Partner with data product, data engineering and business leaders on analytics initiatives.

Skills

Leadership

Data engineering

Analytics

AI/ML pipelines

Education

Bachelor's degree in Computer Science or Engineering

Master's degree preferred

Tools

Multi-cloud platforms

Modern data & AI platforms

Job description

Cambia Health Solutions, Inc. seeks a Director of Data & Analytics Engineering to lead teams powering critical systems, clinical data foundations, and AI pipelines.

Hybrid role with offices across multiple cities; strong emphasis on modernizing legacy platforms and driving data-driven healthcare improvements. Ideal candidate has 15+ years leading engineering, analytics and AI, with experience in multi-cloud, data modeling, and regulatory environments.