The International Rescue Committee is a global humanitarian aid, relief and development nongovernmental organization.

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

Desired Experience and Skills

Required

• 10+ years of experience in data systems, data governance, or analytics roles, with significant experience managing or coordinating across complex global teams
• 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)
• Experience developing and executing multi-year data strategies or product roadmaps in environments with evolving requirements and multiple stakeholder groups
• Experience assessing, rationalizing, and rebuilding data products on contemporary infrastructure – not just greenfield builds but migrating and modernizing legacy systems while maintaining continuity for end users
• Demonstrated ability to establish data standards, taxonomies, and governance frameworks and translate them into technical specifications and system requirements
• Track record of driving adoption and reducing reliance on manual processes in organizations where data literacy is uneven and stakeholder buy-in cannot be assumed – including eliminating shadow trackers and building user trust in systems of record
• Practical, hands-on experience applying AI and automation to data workflows – e.g. LLM-assisted data processing, automated quality checks, or agent-based approaches to reporting – with a realistic sense of where these tools add value and where they don’t
• Strategic thinker who can translate data-driven findings into actionable insights for audiences ranging from technical staff to senior executives
• Ability to juggle competing priorities and make progress against multiple simultaneous demands in a fast-paced, shifting environment
• Fluency in English required; Arabic, French, and/or Spanish an advantage
• Ability to travel globally up to 20% of the time

Preferred

• Experience with operational data in multi-country, geographically distributed contexts where field-level data quality and remote change management are persistent challenges
• Experience working in or with international development, humanitarian response, or comparably complex service delivery organizations with distributed operations
• 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

• 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
• 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
• 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
• 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
• 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

• 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)
• Demonstrated ability to establish data standards, taxonomies, and governance frameworks and translate them into technical specifications and system requirements
• Practical, hands-on experience applying AI and automation to data workflows – e.g. LLM-assisted data processing, automated quality checks, or agent-based approaches to reporting – with a realistic sense of where these tools add value and where they don’t
• Strategic thinker who can translate data-driven findings into actionable insights for audiences ranging from technical staff to senior executives
• Ability to juggle competing priorities and make progress against multiple simultaneous demands in a fast-paced, shifting environment
• Fluency in English required; Arabic, French, and/or Spanish an advantage
• Experience with operational data in multi-country, geographically distributed contexts where field-level data quality and remote change management are persistent challenges
• 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

• 10+ years of experience in data systems, data governance, or analytics roles, with significant experience managing or coordinating across complex global teams
• Experience developing and executing multi-year data strategies or product roadmaps in environments with evolving requirements and multiple stakeholder groups
• Experience assessing, rationalizing, and rebuilding data products on contemporary infrastructure – not just greenfield builds but migrating and modernizing legacy systems while maintaining continuity for end users
• Track record of driving adoption and reducing reliance on manual processes in organizations where data literacy is uneven and stakeholder buy-in cannot be assumed – including eliminating shadow trackers and building user trust in systems of record
• Experience working in or with international development, humanitarian response, or comparably complex service delivery organizations with distributed operations