Data Quality Support Manager positions focus on delivering results in their domain. This page aggregates open Data Quality Support Manager roles and what employers typically expect.
Data Quality & Support Manager Family Promise of Spokane Business Operations | Full-Time, Non-Exempt On-Site 2002 E. Mission Avenue, Spokane, WA 99202 About Family Promise of Spokane Family Promise of Spokane exists to end homelessness — one family, one person, one community at a time. Reliable, accurate, and consistent data is foundational to that mission: it determines whether our programs receive the funding they need, whether leadership can make informed decisions, and whether families in crisis receive coordinated, effective services. About the Role The Data Quality & Support Manager leads FPS's shared data infrastructure within the Business Operations department, reporting directly to the Chief Operating Officer. This role is accountable for establishing and maintaining organizational data-entry standards, driving data quality across all systems, supporting staff training, coordinating cross-departmental data workflows, and ensuring organizational data is complete and report-ready for internal and external audiences. This seat directly supervises a Data Support Specialist (HMIS/Programs) and operates cross-functionally across Programs, Development, Marketing & Community Engagement, Finance, HR, Compliance, IT, and Business Operations. This role doesn't own all organizational data — departments retain subject-matter authority over the meaning and interpretation of their own data — but it owns the support infrastructure that allows every department's data to be accurate, usable, and mission-connected. What You'll Do Team Leadership & Supervision - Directly supervise, coach, and hold accountable a Data Support Specialist, including weekly one-on-ones, quarterly performance conversations, and annual reviews - Recruit, onboard, and develop data support staff Data Standards & Documentation - Develop, maintain, and communicate shared data-entry standards across all organizational systems (HMIS, Bloomerang, BambooHR, Finance systems) - Create and maintain workflow maps, report-preparation checklists, and duplicate-prevention protocols Data Quality Monitoring & Cleanup Coordination - Monitor data completeness and accuracy across all primary systems on a continuous basis - Coordinate cleanup processes with responsible departments and report data quality status monthly - Surface patterns of recurring data inconsistency and lead root-cause analysis Staff Training & System Support - Design and deliver practical data systems training across departments - Provide responsive troubleshooting for staff, with a 2-business-day support ticket response standard Cross-Department Data Coordination - Facilitate structured coordination across departments when data crosses boundaries, clarifying shared definitions and handoff protocols without overriding departmental authority Reporting Readiness - Ensure data is complete, accurate, and validated ahead of grant, compliance, board, and leadership reporting deadlines Risk Escalation - Identify and escalate data integrity risks, confidentiality concerns, and reporting deadline risks to leadership promptly What You'll Need Required - Associate degree or equivalent in Information Systems, Business Administration, Public Administration, or a related field; or 3+ years of directly relevant experience in lieu of formal education - Minimum 3 years of experience working with databases, CRMs, HMIS/CMIS, case management systems, donor databases, or similar organizational data platforms - Demonstrated experience supervising, coaching, or leading at least one direct report - Demonstrated ability to create clear written documentation, data-entry standards, and training materials for non-technical staff - Experience designing and delivering training for staff with varying levels of technical comfort; strong written and verbal communication skills - Demonstrated ability to identify patterns, inconsistencies, duplicate records, and process gaps across large data sets - Proficiency in Microsoft 365 (Excel, SharePoi…