The Global Lead, CRRD (Crisis Response, Recovery and Development) Data & Analytics will own and drive the strategic vision for CRRD's program data portfolio. This position is responsible for setting priorities, managing a global team of developers, product managers, and data analysts, and collaborating across various departments (including IT, Finance, and AMU) to standardize indicators, adopt modern technologies, and leverage artificial intelligence and automation for reporting.
Major Responsibilities
Strategy & Vision
- Evolve, own, and drive the CRRD Data Roadmap – set priorities, track progress against measurable indicators, report on gaps and lessons, and adjust course as needed.
- Engage directly with CRRD leadership to understand decision-making needs and translate them into data product requirements and dashboard specifications.
- Champion Integra, OTIS, Salesforce and PID adoption as primary systems of record; support efforts to eliminate parallel trackers and reinforce accountability for data accuracy.
- Explore user experience improvements for program data products, ensuring systems are intuitive enough for country teams to use independently.
- Identify and implement practical AI and automation opportunities across CRRD’s data workflows – including LLM-assisted data processing and classification, automated data quality checks, and agent-based approaches to routine reporting and data integration tasks.
- Participate in and shape cross-functional fora (e.g., Data Transformation Team) where system improvements and integration priorities are decided.
Data Products & Systems
- Manage and evolve CRRD’s program data product portfolio: PID v4, Monthly Statistics, Annual Statistics, Indicator Selection Tool, and new integrated dashboards.
- Lead the development of the CRRD Data Glossary to standardize department-wide KPIs and data assets.
- Collaborate with IT, Finance, and AMU to institutionalize standardized data definitions in systems across the organization and integrate program data into the IRC Data Lakehouse.
- Serve as CRRD’s primary interlocutor with IT on data platform decisions, ensuring data collection, data lakehouse, and visualization tools meet CRRD’s specific needs.
- Ensure data protection requirements are embedded in all products and integrations from the start.
Adoption, Change Management & Support
- Design all systems and standards with country-level implementation in mind – assessing how each initiative will be absorbed, who needs to be brought along, and what change management is required.
- Develop and implement a support model that builds regional and country team capacity for independent use, reducing dependency on HQ.
- Ensure all products meet a minimum documentation standard before launch; make progress, priorities, and blockers visible to stakeholders by default.
Team Leadership
- Lead and manage the Program Data Systems team (developers, product manager, QA analyst, project manager), setting clear priorities aligned to the Data Roadmap.
- Foster a culture of innovation, continuous learning, and practical experimentation – including with AI tools and new analytical methods.
- Ensure team members are supported, recognized, and growing in their roles through effective performance management.
Influence, Relationships and Representation
- Partner effectively across departments (AMU, Finance, IT, Technical Units) who own their own data reporting, collaborating on shared analytics and metadata.
- Over time, build benchmarking relationships with counterparts in peer INGOs and contribute to external convenings on data systems and evidence use as the role matures.
Key Working Relationships
- Position Reports to: Senior Director, Measurement Evaluation Technology Accountability and Learning and Senior Director, Data Transformation.
- Direct Reports: Program data developer(s); Program data product manager; Quality Assurance Analyst; Project Manager.
- Key Internal Relationships: METAL SMT; Awards Management Unit; Global and CRRD Finance; IT Extended Leadership Team and Data Team; Regional MEAL Advisors and Regional Practice Leads across 6 regions; Global Practice Leads.
Qualifications and Experience
Required
- Education: BA/BSc/HND in a relevant field.
- Experience: 10+ years of experience in data systems, data governance, or analytics roles, with significant experience managing or coordinating across complex global teams.
- Technical Skills: Strong technical fluency across the data stack: cloud lakehouse platforms (Databricks preferred), Python and SQL, dbt or equivalent transformation tooling, pipeline orchestration, and BI/visualization tools (e.g. Power BI, Tableau).
- Strategy & Roadmapping: Experience developing and executing multi-year data strategies or product roadmaps in environments with evolving requirements and multiple stakeholder groups.
- System Migration: Experience assessing, rationalizing, and rebuilding data products on contemporary infrastructure – migrating and modernizing legacy systems while maintaining continuity for end users.
- Data Governance: Demonstrated ability to establish data standards, taxonomies, and governance frameworks and translate them into technical specifications and system requirements.
- Change Management: Track record of driving adoption and reducing reliance on manual processes in organizations where data literacy is uneven.
- AI & Automation: Practical, hands-on experience applying AI and automation to data workflows (e.g. LLM-assisted data processing, automated quality checks).
- Strategic Thinking: Ability to translate data-driven findings into actionable insights for diverse audiences.
- Communication: Fluency in English is required; Arabic, French, and/or Spanish is an advantage.
- Travel: Ability to travel globally up to 20% of the time.
Preferred
- Experience with operational data in multi-country, geographically distributed contexts.
- Experience working in or with international development, humanitarian response, or comparably complex service delivery organizations.
- Understanding of financial data and metrics with the ability to integrate financial and programmatic reporting.
- Experience with enterprise metadata management, data modeling, and software development lifecycles.
- Knowledge of responsible data practices and data protection regulations (e.g. GDPR) in humanitarian settings.
