Assistant Director of Data and Analytics Services

## Assistant Director of Data and Analytics Services Apply locations:
Salt Lake City, UT:
Boise, :
Renton, WA:
Portland, OR:
Fargo, NDtime type:
Full time posted on:
Posted Yesterday job requisition :
R-6671
** Assistant Director of Data & Analytics Engineering
**** Hybrid role (3 days/week in office) in our Portland, OR, Renton, WA, or Salt Lake City, UT offices**. Candidates must reside within commutable distance of that location or be willing to relocate.
** Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system.
**** Who We Are Looking For:
** 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.
** What You Bring to Cambia:
***
* Qualifications:

*** 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
* Experience managing SaaS products and teams may be required
* 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
** Skills and Attributes:
*** 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/Open Flow 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
* Experience with emerging capabilities such as semantic layers, metadata management, streaming data, Dev Ops/Data Ops, 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
* 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
** What You Will Do at Cambia:
*** 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…