Federal Compliance Analyst – Child Welfare

Sunny Glen; Harlingen (TX); Sur place; USD 65 000 - 90 000; Plein temps

Résumé du poste

Sunny Glen is seeking a Compliance Analyst in Texas to monitor and evaluate compliance with federal and state regulations, licensing, accreditation, and Sunny Glen policies. This exempt, full-time role conducts audits, documentation reviews, risk assessments, and collaborates with program leadership to drive continuous quality improvement.

The ideal candidate will prepare for inspections, support corrective actions, and clearly communicate findings to leadership while maintaining data integrity

Qualifications

• Requires a 4-year degree in a relevant field.
• 2+ years of audit/compliance experience preferred.
• Experience with state licensing, accreditation (CARF), and regulatory standards.
• Strong written and verbal communication; detail-oriented.
• Ability to prepare reports and support program leadership.

Responsabilités

• Oversee compliance adherence across SGCH programs and locations.
• Monitor licensing regulations, policies, and accreditation standards.
• Prepare programs for inspections and external audits.
• Identify compliance risks and develop mitigation strategies.
• Collaborate with leadership to implement policies and corrective actions.
• Document and report findings, maintain records.

Connaissances

Regulatory compliance

Audits

Documentation

Quality improvement

Communication

Risk management

Project management

Teamwork

Training

Formation

Bachelor's degree

Description du poste

Sunny Glen is seeking a Compliance Analyst in Texas to monitor and evaluate compliance with federal and state regulations, licensing, accreditation, and Sunny Glen policies. This exempt, full-time role conducts audits, documentation reviews, risk assessments, and collaborates with program leadership to drive continuous quality improvement.

The ideal candidate will prepare for inspections, support corrective actions, and clearly communicate findings to leadership while maintaining data integrity