Sr. Engineer, Data Governance & AI Enablement

Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the "12 Angry Seniors." Their mission continues to guide everything we do.

Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.

Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.

At SCAN, we believe scale should strengthen‑not dilute‑our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.

In this role, you will help advance SCAN's AI enablement and enterprise data governance practices. This role is responsible for improving the trust, usability, and business context richness of data that powers AI, analytics, reporting, and operational decision‑making.

This role helps build the foundation for enterprise AI by strengthening core knowledge management capabilities via the development, governance, and adoption of enterprise data assets and knowledge structures, including business glossaries, governed metrics, semantic layers, ontologies, knowledge graphs, metadata, lineage, and stewardship practices. You will work closely with data stewards, subject matter experts, platform teams, and executive business leaders to build context, standardize business terminology, improve data quality, and make enterprise data easier for people and AI‑enabled tools to understand and use.

This is an essential role as SCAN modernizes its data ecosystem through a modern platform, scalable self‑service analytics, and AI‑assisted ways of working.

• Enhance SCAN's semantic foundation by developing dimensional models, hierarchies, domain relationships, and governed metrics that enable consistent AI use cases.
• Support ontology and knowledge graph initiatives by identifying key business entities, relationships, synonyms, and domain concepts that improve data connectivity, searchability, and AI comprehension.
• Govern and document data assets across Snowflake, Databricks, and Iceberg environments to ensure structured and semi‑structured data is well‑described, discoverable, and trusted for analytics and AI workflows.
• Maintain and enrich the enterprise data catalog
  , documenting metadata, lineage, ownership, usage context, and business meaning for high‑value data assets.
• Improve data discoverability and usability through tagging, glossary management, workflow optimization, and metadata quality controls.
• Perform data and metric validation to assess accuracy, completeness, aggregation logic, consistency, and timeliness across data products, including via the use of AI‑assisted tools.
• Partner with business stakeholders
  , data stewards, subject matter experts, analytics teams, and technical teams to execute enterprise data governance and AI‑readiness priorities across key domains.
• Investigate data quality issues
  , conduct root cause analysis, document business impact, and partner with data engineering, analytics, reporting, and business teams to support resolution.
• Participate in Agile ceremonies to ensure governance and AI enablement work is visible, prioritized, and delivered effectively.
• Drive continuous improvement in governance automation, stewardship workflows, reporting certification, and AI‑assisted governance capabilities.
• We seek Rebels who are curious about AI and its power to transform how we operate, improve decision‑making, and serve our members.
• Actively support the achievement of SCAN's Vision and Goals.
• Other duties as assigned.