Job Posting Title:

Data Governance Lead

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Hiring Department:

Dell Medical School

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Exempt

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue

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Location:

AUSTIN, TX

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Job Details:

Purpose

The Lead Data Governance Analyst is responsible for establishing, implementing, and maintaining data governance frameworks that ensure the accuracy, security, and usability of healthcare data across the enterprise. This role serves as the bridge between IT, clinical and business operations, compliance, and leaders to promote data integrity, enable analytics, and support regulatory compliance (HIPAA, HITECH, CMS, Joint Commission). The Lead Data Governance Analyst will champion a culture of data stewardship, develop policies and standards, and provide leadership on projects that enhance the value of enterprise healthcare data.

Responsibilities

Data Governance & Strategy

• Lead the design, development, and execution of the organization’s data governance framework, policies, and standards.

• Partner with stakeholders across clinical, research, financial, and operational areas to establish data ownership and stewardship responsibilities.

• Define and monitor key data governance metrics, ensuring continuous improvement in data quality and usability.

• Promote Data Culture and Data Literacy opportunities through learning and sharing Data Quality & Integrity

• Establish standards and enforce procedures for data validation, lineage tracking, and quality monitoring.

• Collaborate with data owners to resolve issues related to accuracy, consistency, and timeliness.

• Implement tools and processes to track master data management (MDM) and reference data to ensure single sources of truth across systems.

Compliance & Security

• Ensure that all data governance processes are aligned with healthcare regulations (HIPAA, HITECH, GDPR, CMS).

• Work with Information Security and Compliance teams to ensure data access, use, and sharing meet all institutional and legal requirements.

• Lead audits and documentation efforts for data governance and regulatory reporting.

Stakeholder Engagement & Leadership

• Serve as the primary liaison for enterprise data governance activities, engaging clinical leaders, research teams, IT, and business stakeholders.

• Actively participate and support the Data Governance Council or related workgroups .

• Provide guidance and training to business units, promoting data stewardship and governance best practices.

Analytics & Decision Support

• Collaborate with data engineers, BI analysts, and clinical researchers to ensure data governance policies enable effective reporting and analytics.

• Support enterprise initiatives for enterprise analytics working with domain areas on data definitions, data standardization, and single source of truth.

Project Leadership

• Lead cross-functional projects to implement new data standards, metadata repositories, and governance tools.

• Provide mentorship to analysts and serve as a subject matter expert in data governance practices.

Required Qualifications

• Bachelor’s degree in Healthcare Informatics, Data Science, Information Systems, Health Information Management, or related field.

• 7+ years of progressive experience in data governance, data management, healthcare analytics, or enterprise data strategy.

• Demonstrated experience designing, implementing, and sustaining enterprise data governance frameworks, policies, and standards.

• Strong knowledge of healthcare data standards and biomedical terminologies (HL7, X12, FHIR, DICOM, ICD, CPT, LOINC, SNOMED).

• Experience working with EHR platforms and clinical/research data environments (e.g., Epic, Oracle/Cerner, Meditech, Athena).

• Working knowledge of healthcare regulatory and compliance frameworks (HIPAA, HITECH, CMS, NIST, Joint Commission).

• Proven ability to lead cross-functional initiatives and influence senior stakeholders across clinical, operational, IT, compliance, and research domains.

• Experience establishing data stewardship models, ownership structures, and governance councils.<