Director of Data & Analytics Engineering

Cambia Health Solutions•Salt Lake, UT
•Hybrid

About The Position

The Director of Data & Analytics Engineering leads teams within Cambia’s Enterprise Data & Analytics organization, powering operational systems, data ingress and egress, clinical data foundations, and AI pipelines. The role focuses on modernizing legacy capabilities and accelerating delivery to support a person-focused health care experience. It is a people leadership position requiring ongoing development of leadership skills and the ability to guide teams in a complex, matrixed environment. The director shares ownership of the data foundation, with a focus on clinical data and outcomes; owns enterprise data ingress and egress; leads migration of legacy systems to modern architectures; and owns data pipelines and AI applications for document intelligence. The role also oversees day-to-day business data operations supporting HEDIS/Stars and Risk Adjustment, in partnership with data product, data engineering, and business leaders. The director builds and develops a high-performing engineering organization and embeds AI coding tools into team software delivery practices. This is a hybrid role requiring three days per week in the office at one of the listed Cambia locations. The expected hiring range is $198,050–$269,950, with a full salary range of $186,000–$303,000 and a 25% bonus target.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • 15+ years of progressive experience leading engineering, analytics, and AI teams in large enterprises, with deep focus on data, analytics, and AI technologies.
  • Proven experience with multi-cloud environments and modern data and AI platforms.
  • Experience refactoring legacy data platforms into modern technologies.
  • Strong data modeling skills and understanding of the evolution from traditional to modern data architectures.
  • 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.
  • Ability to leverage AI tools and resources to drive efficiency and innovation within area of expertise.
  • Ability to grow high-impact teams, build a leadership bench, and empower staff through clear decision rights and continuous development.
  • Ability to operate 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.
  • Ability to influence without authority and drive alignment across organizational boundaries.
  • Ability to work in a hybrid arrangement three days per week in an office at a listed location.
  • Access to a personal mobile device to set up Multi-Factor Authentication upon joining.
  • For work-from-home options, a wired, non-satellite and non-cellular internet connection with at least 5 Mb upload and 10 Mb download speeds.

Nice To Haves

  • Master's degree.
  • Healthcare industry experience, including understanding of HIPAA, security standards, and compliance frameworks, and experience with sensitive member, provider, and clinical data.

Responsibilities

  • Share ownership of the data foundation, focusing 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, integrating with the member communication platform, and producing extracts for employers, vendors, and strategic partners while enabling interoperability.
  • Lead migration of legacy systems to modern architectures and evolve applications supporting attribution, contract settlement, care gap management, and quality incentives.
  • Own data pipelines and AI applications for document intelligence while balancing innovation with healthcare data reliability and compliance requirements.
  • Own day-to-day business data operations supporting HEDIS/Stars and Risk Adjustment in partnership with data product, data engineering, and business leaders.
  • Build, mentor, and grow a high-performing engineering organization.
  • Embed AI coding tools into how teams design, build, review, and deliver software.
  • Engage with peer leaders and inspire teams as part of the community of leaders running the company.

Benefits

  • Competitive base pay and bonus opportunities, with a 25% bonus target for this role.
  • Market-leading 401(k) plan with significant company match and potential discretionary contribution based on company performance; no vesting period.
  • Medical, dental, and vision coverage for employees and eligible family members, including mental health benefits.
  • Annual employer contribution to a health savings account.
  • Generous paid time off varying by role and tenure, in addition to 10 company-paid holidays.
  • Up to 12 weeks of paid parental time off, subject to eligibility requirements.
  • Award-winning wellness programs that reward participation.
  • Employee Assistance Fund.
  • Commute and parking benefits.
  • Work-from-home options for most roles.
  • Employee resource groups and opportunities to participate in company-supported community outreach programs.
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