Director of Data & Analytics Engineering

Hybrid role (3 days/week in office) at our Salt Lake City, Boise, Fargo, Portland, Vancouver, Renton, Medford, Burlington, Lewiston offices. Preference will be given to current employees and candidates who reside within a commutable distance from our Salt Lake City, Boise, Fargo and Lewiston offices or who are willing to relocate.

Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system.

Every day, Cambia's dedicated team of data and analytics engineering professionals is living our mission to make health care easier and lives better. As a member of the Enterprise Data & Analytics team, our Director of Data & Analytics Engineering leads the teams that power critical operational systems, data ingress and egress, clinical data foundations, and AI pipelines, modernizing legacy capabilities and accelerating delivery, all in service of creating a person-focused health care experience.

As a people leader, you are willing to learn and grow, understanding that leadership is a craft that is continuously honed as you support your team and the lives that depend upon us. Are you a systems thinker who thrives in complex, matrixed environments? Do you have a passion for modernizing legacy platforms and applying data and AI to improve health outcomes?

Then this role may be the perfect fit.

Bachelor's degree in Computer Science, Engineering, or a related technical field required;
Master's degree preferred 15+ years of progressive experience leading engineering, analytics, and AI teams in large enterprises, with deep focus on data, analytics, and AI technologies Skills and Attributes Proven experience with multi-cloud environments and modern data and AI platforms Clear experience refactoring legacy data platforms into modern technologies Strong data modeling skills and an understanding of how data paradigms have evolved from traditional to modern architectures Demonstrated ability to maximize value from existing owned technology and data assets Practical experience delivering high-velocity, agile engineering work in regulated environments Familiarity with data movement, application engineering, and AI/ML pipelines used to extract insights from clinical and administrative data Experience leading in complex, multi-stakeholder, matrixed environments Healthcare industry experience preferred, including understanding of HIPAA, security standards, and compliance frameworks, and experience with sensitive member, provider, and clinical data Demonstrated ability to leverage AI tools and resources to drive efficiency and innovation within area of expertise Proven ability to grow high-impact teams, build a leadership bench, and empower staff through clear decision rights and continuous development Experience operating with significant ambiguity while maintaining deep collaboration with functional leaders Exceptional ability to communicate complex technical and organizational concepts to executive audiences, peer leaders, and cross-functional partners Demonstrated ability to influence without authority and drive alignment across organizational boundaries.

Share ownership of the data foundation with a focus on clinical data and outcomes, including supplemental clinical data from provider files, HIEs, EMR aggregators, and modern data shares Own enterprise data ingress and egress, including onboarding new data, integration with the member communication platform, and extracts for employers, vendors, and strategic partners, while enabling interoperability Lead the migration of legacy systems to modern architectures and evolve applications supporting…