Manager, Data Governance & Data Quality – Enterprise Data Platform

ChenMed•Miami Gardens, FL

31d•Onsite

About The Position

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
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
This job requires use and exercise of independent judgment
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

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