Program Manager, Data System Modernization (Hybrid, Part-Time, Washington, DC)

About us

The DC Sentencing Commission (SCDC) is hiring a part-time Program Manager to lead its GRID data-system modernization (hybrid, Washington DC): needs assessment, requirements and SOW/RFP development, multi-vendor coordination, and implementation oversight across assessment and rebuild phases. PMP required; about 20 hrs/week early, ramping to 30 to 35.

What you’ll do

• Lead planning and execution of the agency’s internal data system (GRID) modernization project (GRID Next-Generation Initiative)
• Help develop the Statement of Work (SOW) to procure a third-party needs-assessment vendor, and serve as agency project lead for the needs-assessment phase
• Translate assessment findings into functional and technical requirements; draft the SOW and lead the RFP for the build contract, evaluating submissions and vendor selection
• Oversee the rebuild phase as the agency’s primary Program Manager, keeping modernization on scope, schedule, and deliverables
• Serve as primary communication liaison among agency staff, the needs-assessment vendor, and the existing system vendor
• Develop and maintain program documentation (project plans, requirement logs, decision records, risk registers, milestone tracking, status reports)

What you need

• Graduate degree or equivalent experience in a relevant field (project management, information systems, data science, public administration, public health, or criminal justice); Master-level
• At least 15 to 16 years managing complex programs or projects, preferably involving IT/data systems or system modernization/rebuild
• PMP certification required (methodologies, lifecycle planning, risk management, stakeholder engagement)
• Experience developing SOWs, requirements documents, or technical specifications for IT/data system modernization
• Experience overseeing and coordinating vendors in multi-vendor environments (evaluating proposals, monitoring performance, managing deliverables)
• Familiarity with data systems and system architecture (how systems ingest, process, validate, store, and output data); hands-on development not required