Associate Director, Data Quality & Controls

Job Description\n

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities.

Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting.

Growing together.

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About the Team 

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The Optum Health team partners with clinical, operational, product, engineering, analytics, and business leaders to improve how healthcare data is trusted, governed, and used across Risk, Quality, Performance Management, and Value-Based Care operations. 

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The Unified Risk & Quality Platform is a strategic enterprise initiative focused on building a more consistent and governed foundation for Risk and Quality. The Data Control Tower is being established as a horizontal assurance capability that detects data quality risks early, creates evidence, routes accountability, and supports trusted business decisions. 

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About the Role 

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The Associate Director, Data Quality & Controls will help lead the design, implementation, and day-to-day operating model for the Data Control Tower. This role will shape how controls are defined, prioritized, implemented, validated, monitored, and translated into operational action. 

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The successful candidate will bring a balanced mix of technical fluency, stakeholder leadership, business understanding, and operational discipline. They should be comfortable working with SQL, Snowflake-based data assets, control evidence, reconciliation outputs, dashboards, issue management, and senior stakeholder communication. 

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What You'll Do 

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  Help lead the Data Control Tower as an active assurance capability for URQP data quality, controls, evidence, and decision support

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  Partner with business, product, engineering, analytics, clinical, operations, architecture, and compliance stakeholders to identify priority data risks

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  Define and maintain a practical control catalog covering control purpose, logic, thresholds, severity, ownership, evidence, and runbook guidance

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  Work with engineering and analytics teams to implement repeatable controls using SQL, Snowflake, dbt, orchestration, and evidence-store patterns

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  Translate technical control results into clear business impact assessments, including affected populations, impacted workstreams, recommended actions, and decision risk

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  Support trust-state management for critical datasets and outputs, including Certified, Warning, High Risk, Do Not Use, De-certified, Under Remediation, and Pending Validation

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  Coordinate structured issue management for material data quality failures, ensuring issues are assigned, tracked, escalated, validated, and closed with evidence

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