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