Manager, Data Governance & Data Quality – Enterprise Data Platform
About The Position
We’re unique. You should be, too. We’re changing lives every day. For both our patients and our team members. Are you innovative and entrepreneurial minded? Is your work ethic and ambition off the charts? Do you inspire others with your kindness and joy? We’re different than most primary care providers. We’re rapidly expanding and we need great people to join our team. The Manager of Data Governance & Data Quality leads the enterprise data trust program, ensuring that executive reporting, analytics, and downstream use cases are built on reliable, well-governed data. This role defines and operationalizes data quality frameworks, stewardship models, SLA monitoring, and metadata standards across the enterprise data platform. This position serves as the operational owner of data accountability, partnering with business and engineering teams to proactively detect, prevent, and resolve data issues while strengthening confidence in enterprise metrics across Finance, Growth, Care, and Talent domains.
Requirements
- 6+ years of experience in data governance, data quality, analytics, or related leadership roles
- Hands-on experience implementing data quality monitoring frameworks, including rule definition, alerting, and reporting
- Strong stakeholder management and cross-functional influence skills, with the ability to align business, analytics, and engineering teams
- Experience working in healthcare or other regulated industries (e.g., financial services, insurance) strongly preferred
- Working knowledge of SQL and modern cloud data platforms, with the ability to investigate issues and partner effectively with engineering teams
- Strong communication skills, capable of translating data quality issues into clear business impact for leadership
- Skilled in Microsoft Office Suite products including Word, Excel, PowerPoint and Outlook, plus a variety of other word-processing, spreadsheet, database, e-mail and presentation software
- Ability and willingness to travel locally, regionally and nationwide up to 15% of the time
- Spoken and written fluency in English
- BA/BS degree in Information Technology, Computer Information, Business Administration or a related field OR additional experience above the minimum will be considered in lieu of the required education on a year-for-year basis required
- A minimum of 6 years of professional work experience in the IT industry required
- A minimum of 2 years work experience in resource management required
- IT certification preferred
Nice To Haves
- Experience working in healthcare or other regulated industries (e.g., financial services, insurance) strongly preferred
- IT certification preferred
Responsibilities
- Design, implement, and evolve an enterprise data quality framework, including rules, thresholds, validation patterns, and severity classifications across critical datasets
- Establish, publish, and monitor data freshness, availability, and SLA standards, ensuring transparency and predictability for operational and executive reporting
- Lead domain-level data stewardship alignment across Finance, Growth, Care, and Talent, clarifying ownership, escalation paths, and accountability for key data assets
- Own data incident management processes, including detection, triage, root cause analysis, remediation tracking, and post-incident learnings
- Develop and maintain executive-facing data quality scorecards, providing clear visibility into data health, trends, and risk areas
- Oversee business glossary and semantic definition governance, ensuring consistent metric definitions, terminology, and usage across analytics and reporting
- Partner closely with Data Engineering to embed data quality rules, monitoring, and reconciliation checks directly into ingestion and transformation pipelines
- Support regulatory, compliance, and audit readiness initiatives, including documentation, evidence collection, and control validation for governed datasets
- Drive adoption of governance practices through enablement, documentation, and change management across business and technical teams
- Continuously identify systemic data quality risks, recommending process, architectural, or upstream fixes to prevent recurring issues
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
501-1,000 employees
