Sr. Engineer, Data Governance & AI Enablement

Sr. Data Governance Analyst

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.

The Job

The Sr. Data Governance Analyst will help advance SCAN's enterprise data governance practices across the Applied Intelligence organization and its business partners. This role is responsible for improving the trust, usability, definition, and discoverability of data used for analytics, reporting, operational decision-making, and emerging AI-enabled capabilities. The analyst will work closely with data stewards, subject matter experts, analytics teams, platform teams, and business leaders to define critical data elements, standardize business terminology, improve data quality, and strengthen the enterprise data catalog. This role is especially important as the organization modernizes its analytics ecosystem through a modern data platform, semantic layers, governed metrics, and more scalable self-service data capabilities.

You Will

• Partner with business stakeholders, data stewards, subject matter experts, analytics teams, and technical teams to execute enterprise data governance priorities across key domains.
• Support the definition, documentation, and maintenance of critical data elements, business terms, standardized metrics, hierarchies, and data stewardship accountability structures.
• Maintain and enhance the enterprise data catalog by documenting data assets, business definitions, metadata, lineage, report inventories, certified reports, ownership, and usage context.
• Improve data discoverability and usability by applying effective catalog practices, including tagging, glossary management, workflow support, search optimization, stewardship assignments, and metadata quality controls.
• Perform data validation and profiling using SQL across Snowflake, SQL Server, and related platforms to assess accuracy, completeness, consistency, timeliness, and fit for business use.
• Investigate data quality issues, conduct root cause analysis, document business impact, and partner with data engineering, analytics, reporting, and business teams to support resolution.
• Define, document, and monitor data quality rules, controls, thresholds, and issue management processes for high-value data assets and reporting use cases.
• Support the development and adoption of semantic layer and metrics governance practices, ensuring alignment between business definitions, dimensional models, reporting tools, and underlying data structures.
• Participate in SAFe Agile ceremonies and planning processes, including PI Planning, backlog refinement, iteration planning, demos, and retrospectives, to ensure governance work is visible, prioritized, and delivered effectively.
• Contribute to continuous improvement of governance processes, stewardship practices, catalog workflows, reporting certification, data quality monitoring, automation opportunities, and AI-assisted governance capabilities.
• We seek Rebels who are curious about AI and its power to transform how we operate and serve our members.
• Actively support the achievement of SCAN's Vision and Goals.
• Other duties as assigned.

Your Qualifications

• Bachelor's degree in Information Systems, Data Analytics, Computer Science, Business Administration, Healthcare Administration, Statistics, or a related field; equivalent experience may be considered.
• 3+ years of experience in data governance, data management, data quality, analytics, business intelligence, metadata management, or a related data-focused role.
• Experience in the health care industry, especially in areas such as Medicare Advantage, clinical analytics, medical economics, quality, pharmacy, claims, provider, member, or operational data environments strongly preferred.
• Experience with enterprise data catalog, metadata management, data lineage, business glossary, stewardship, or report certification practices.
• Strong SQL experience, preferably with Snowflake and SQL Server.
• Experience with BI and reporting platforms such as Power BI, Tableau, SSRS, or similar tools.
• Experience with CLI tools such as Cortex Code, Claude Code, or similar.
• Familiarity with modern cloud data platforms, data warehouses, dimensional modeling, semantic layers, metrics layers, and governed self-service analytics.
• Experience working in SAFe Agile or another Agile delivery framework.
• Preferred certifications include CDMP, DGSP, DCAM, Collibra certification, DAMA-related training, Snowflake certification, Microsoft Power BI certification, or relevant Agile/SAFe certifications.

Competencies

• Business Partnership: Builds trusted relationships with business and technical stakeholders and translates governance practices into practical business value.
• Analytical Thinking: Uses structured analysis to evaluate data issues, identify root causes, and assess business impact.
• Governance Discipline: Applies consistent standards for definitions, metadata, quality rules, stewardship, lineage, and documentation.
• Communication: Explains complex data concepts clearly to both technical and non-technical audiences.
• Continuous Improvement: Identifies opportunities to improve governance workflows, data usability, automation, and scalable self-service analytics.

Skills & Abilities

• Strong SQL skills for data profiling, validation, reconciliation, and issue investigation.
• Ability to translate technical data structures into clear, business-aligned definitions and documentation.
• Understanding of data governance concepts, including stewardship, ownership, metadata, lineage, business glossaries, data quality, and policy adherence.
• Familiarity with Snowflake, SQL Server, Power BI, Tableau, SSRS, data catalogs, and modern analytics platforms.
• Ability to support semantic layer and metrics governance, including standardized definitions, dimensional concepts, hierarchies, and measure consistency.
• Strong documentation skills, including the ability to maintain business terms, data dictionaries, catalog entries, report inventories, and data quality findings.
• Ability to work effectively across business, analytics, data engineering, platform, and leadership teams.
• Practical understanding of healthcare data domains such as claims, membership, providers, clinical operations, pharmacy, quality, utilization management, or finance preferred.
• Ability to manage multiple priorities in an Agile environment while maintaining attention to detail.
• Awareness of emerging automation, AI-assisted documentation, data quality monitoring, and governed self-service analytics capabilities.

What's in it for you?

• Base Salary Range: $80,300 to $138,330 annually

• An annual employee bonus program

• Robust Wellness Program

• Generous paid-time-off (PTO)

• 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days

• Excellent 401(k) Retirement Saving Plan with employer match

• Robust employee recognition program

• Tuition reimbursement

• An opportunity to become part of a team that makes a difference to our members and our community every day!

We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!

At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.

SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.