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eStaffLLC

Senior SACWIS/CWIS Project Manager

eStaffLLC, Austin, Texas, United States

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We are seeking a Senior SACWIS/CWIS Project Manager for a hybrid role, anywhere in Texas, who will attend meetings in Austin, Texas. Required to come for large-scale initiatives supporting the modernization, enhancement, and implementation of child welfare information systems (SACWIS/CCWIS/CWIS). This role is responsible for managing complex projects that impact intake, case management, service delivery, provider interactions, reporting, and federal compliance. The ideal candidate will have extensive experience leading legacy modernization efforts, facilitating business stakeholders, and managing vendors within a highly regulated child welfare environment. Required Qualifications 8+ years of experience in senior-level project management, leading large, complex, enterprise or statewide initiatives. Direct experience managing or supporting SACWIS, CCWIS, or CWIS systems in a child welfare environment. Strong background in business facilitation, including leading requirements workshops and cross-functional working sessions. Demonstrated experience supporting investigation programs, statewide intake operations, or case management environments. Proven experience managing vendors and system integrators on large system implementation or modernization projects. Demonstrated success in delivering legacy system modernization and enterprise system implementations. Experience working within highly regulated environments requiring federal reporting, compliance, and audit readiness. Excellent written and verbal communication skills, including executive-level reporting. Preferred Qualifications Experience supporting child welfare programs such as intake, investigations, ongoing services, placements, foster care, adoption, or permanency. Familiarity with federal child welfare regulations and guidance (e.g., CCWIS Final Rule, APD/FPD processes). PMP, PgMP, or equivalent project management certification. Experience with Agile, hybrid, or traditional SDLC methodologies in large public-sector