Program Manager Evaluation & Learning

About the role

The Program Manager of Evaluation & Learning is a core member of CCSCC's Organizational Effectiveness team, responsible for leading CCSCC's outcomes measurement and continuous improvement work across all CCSCC programs. This role builds and maintains the systems, tools, and culture that allow the agency to understand whether programs are producing desired outcomes, communicate results to funders and the Board, and use data to improve decision-making. The Program Manager partners closely with program leadership, IT/CIS staff, and accreditation or compliance leads to ensure that data collection, measurement, and reporting are embedded in daily operations. This is a strategic and hands-on role responsible for developing evaluation frameworks, creating reporting infrastructure, analyzing data, and translating findings into actionable recommendations.

Responsibilities

• Lead the design and ongoing refinement of an agency-wide outcomes measurement framework, including logic models and theories of change.
• Collaborate with internal teams to create, implement, review, and use theories of change, program models, journey maps, and other strategy and evaluation tools.
• Define meaningful, measurable outcomes and process indicators.
• Collaborate with outside partners when appropriate, including research institutions and evaluation partners.
• Design, implement, and oversee evaluation plans for individual programs, including data collection methodologies, measurement protocols, sampling, and analysis methods.
• Co-design and lead evaluation of the Vision 2030 Strategic Plan and other strategic initiatives.
• Establish and measure baseline KPIs and monitor progress across the organization.
• Conduct research and analysis to identify and implement best practices in evaluation and outcomes measurement.
• Train program leadership to run reports, analyze data, assess outcomes, and develop meaningful narratives.
• Design and facilitate training sessions on evaluation and learning topics, including logic models, measurement frameworks, data interpretation, and visualization.
• Create and deliver evaluation and learning onboarding training for program leadership staff.
• Foster a culture where data