Assistant Director of Data and Analytics Services

Cambia Health SolutionsSalt Lake, UT
Hybrid

About The Position

Every day, Cambia's dedicated team of data and analytics professionals is living our mission to make health care easier and lives better. As a member of the Data & Analytics Services (DAS) team, our Assistant Director of Data & Analytics Engineering leads data engineering teams responsible for building and sustaining enterprise data platforms — supporting analytics, purpose-built data products, and operational reporting across the enterprise — all in service of creating an economically sustainable health care system. 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. Do you bring a consulting-oriented mindset combined with deep hands-on data engineering expertise? Do you thrive leading high-performance teams through technological change while delivering measurable business value? Then this role may be the perfect fit.

Requirements

  • Bachelor's degree in Computer Science or related field (or equivalent experience)
  • 5 years of combined demonstrated leadership experience in architecture, applications, or account management using current relevant technologies
  • 7 years managing business or technology organizations with demonstrated competency in strategic thinking and leadership
  • Excellent written and verbal communication skills with ability to interact with a wide range of stakeholders
  • Thorough knowledge of finance, budget, and project management principles
  • Demonstrated leadership of multi-disciplinary, high-performance teams across the full software development lifecycle
  • Experience with architecture principles and design patterns across application types including web, integration, and business intelligence
  • Deep expertise in data engineering, data warehousing, and analytics (OLAP), with solid familiarity in operational reporting and transactional processing (OLTP) requirements
  • Hands-on proficiency with modern cloud data platforms (Snowflake strongly preferred), dbt or equivalent ELT tools, SQL/Python stored procedures, and orchestration tools (Airflow/OpenFlow or similar)
  • Experience migrating platforms, integrating data, data profiling, performance optimization, and data governance/security/compliance
  • Demonstrated success leading full system development lifecycle for data products and analytics solutions in complex enterprise environments, preferably healthcare/payer
  • Strong servant leadership qualities with personal agility, innovation, flexibility, and perseverance in a rapidly changing environment
  • Ability to manage through influence across formal and informal channels to gain alignment and synergy across stakeholders

Nice To Haves

  • Experience managing SaaS products and teams may be required
  • Experience with emerging capabilities such as semantic layers, metadata management, streaming data, DevOps/DataOps, CI/CD for data, and AI/agentic analytics enablement
  • Healthcare domain knowledge (Provider Network & Contract Management, Claims, Membership, Pricing, Alternate Payment Models, Shared Savings/Incentive Programs, Care Gap Management) highly desirable
  • Demonstrated ability to leverage AI tools and resources to drive efficiency and innovation within area of expertise

Responsibilities

  • Lead and motivate teams of data engineers and managers to deliver on-time, high-quality, scalable data solutions — defining and communicating success in terms of value delivered to internal customers and business stakeholders
  • Partner closely with data modeling, product, data governance, quality assurance, portfolio management, and business teams to design scalable data models and platform artifacts; optimize platform performance through query tuning, compute sizing, workload isolation, and cost management
  • Establish and maintain strategic relationships with business leaders across DAS and payer operations — facilitating prioritization, managing to defined service levels, and ensuring data services are effective, efficient, and highly valued
  • Drive adoption of modern data practices including semantic layers, metadata management, data observability, and CI/CD for data; champion automation and AI-assisted engineering to reduce manual effort and increase team productivity and impact
  • Manage financial responsibilities including budgeting labor and services expenditures, tracking budget status, and presenting business value delivered through data engineering efforts to DAS management and business partners
  • Develop risk assessments and transition plans to guide the organization through technological change, ensuring smooth adoption of new tools and practices while balancing multiple priorities across the Data & Analytics Services portfolio

Benefits

  • Medical, dental and vision coverage for employees and their 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.
  • Market-leading retirement plan including a company match on employee 401(k) contributions, with a potential discretionary contribution based on company performance (no vesting period).
  • Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service with Cambia immediately preceding leave).
  • Award-winning wellness programs that reward you for participation.
  • Employee Assistance Fund for those in need.
  • Commute and parking benefits.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service