Assistant Director of Data and Analytics Services

Cambia Health Solutions · Portland, OR · 1 wk ago

Information Technology$163k–$221k/yrFull-time

About the role

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

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.

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
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
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
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
Strong servant leadership qualities with personal agility, innovation, flexibility, and perseverance in a rapidly changing environment
Able to manage through influence across formal and informal channels to gain alignment and synergy across stakeholders

Skills

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
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

Benefits

Pay ranges vary based on the candidate's work location. The expected hiring range depends on skills, experience, education, and training; relevant licensure / certifications; and performance history.

For candidates located in Oregon, Washington, Utah, and Idaho: The expected hiring range is $163,200-220,800, the full salary range is $153,000-250,000, and the bonus target is 25%.

For candidates located in North Dakota: The expected hiring range is $146,001-197,732, the full salary range is $129,767-214,115, and the bonus target is 15%.