The International Rescue Committee (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future. IRC’s Strategy 100 Phase 2 demands agility – the ability to make quick, data-driven decisions and pivot as circumstances change. Today, CRRD’s data sits in fragmented systems with inconsistent definitions, limiting our ability to connect fundraising, spending, and programmatic delivery into a coherent picture. This role exists to change that. The Global Lead, CRRD Data & Analytics leads the execution of CRRD’s data roadmap, as part of the broader organizational Data Transformation. Reporting to the Senior Director of METAL and the Senior Director of Data Transformation, this person will lead a team to standardize how collect and aggregate program data, integrate it with awards and finance data across IRC’s systems of record, and deliver it to decision-makers through dashboards and reporting that are timely, trustworthy, and actionable. They will champion the adoption of reliable systems of record, proactively reducing the use of parallel trackers that erode data quality, and build the foundations for an increasingly automated and AI-enhanced data ecosystem. This is a strategic leadership role with deep technical fluency. The right candidate will be equally comfortable presenting to senior executives about portfolio performance as they are reviewing a data pipeline architecture with engineers – and will see AI and automation not as buzzwords but as practical tools to reduce manual burden and accelerate insight.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed