MAJOR RESPONSIBILITIES:
Strategic Leadership & Innovation (25%)
- Partner with key stakeholders to develop and execute a comprehensive strategy for Data & AI, aligned with the organization’s mission and goals
- Ensure full implementation of the organization’s data-driven transformation initiatives
- Act as a thought leader, staying ahead of trends and guiding the organization in exploring and adopting emerging technologies and innovative solutions
- Guide the establishment of the organization’s data governance framework and policies
- Oversee the design, development, and deployment of enterprise analytics & AI solutions, enterprise architecture frameworks, and emerging technologies
- Build and lead cross-functional teams to implement scalable, sustainable technology solutions
Data Governance & Architecture (25%)
- Partner with Data Governance function on the development and implementation of World Vision’s data governance program
- Define and implement Enterprise Architecture standards to ensure technology investments are aligned, scalable, and interoperable
- Oversee the design and evolution of Enterprise Data Architecture
- Ensure data quality, compliance, and protection across the organization
- Establish and enforce governance frameworks to ensure data security, privacy, and ethical use of AI
- Direct the standardization of data management practices
- Guide the implementation of data sharing and integration practices
Analytics Leadership & Implementation (20%)
- Oversee the development of analytics platform/technology strategy and implementation
- Guide the establishment of semantic modeling and analytics best practices
- Ensure standardization of analytics approaches across the organization
- Drive adoption of self-service analytics capabilities
- Manage partnerships with external technology providers, ensuring value alignment and effective deli
Stakeholder Management & Change (15%)
- Build collaborative relationships across World Vision’s decentralized structure
- Influence and align stakeholders around data and technology initiatives
- Lead change management for data and technology transformations
- Partner with business units to identify and implement use cases
- Engage with external partners and technology providers
Team Leadership & Development (15%)
- Lead and develop a high-performing team of data and technology professionals
- Foster a culture of innovation and continuous learning
- Ensure effective resource allocation and team structure
- Guide professional development and succession planning
- Manage departmental budget and resources
KNOWLEDGE, SKILLS AND ABILITIES:
Required Qualifications
- Master’s degree in Computer Science, Data Science, Information Technology, or a related field (Ph.D. preferred)
- At least 10-15 years of progressive leadership experience in data, AI, enterprise architecture, or technology roles, with a track record of driving organizational transformation
- Min 5-8+ years of experience leading data, analytics, or AI initiatives
- Demonstrated experience in data governance and analytics platform implementation
- Strong track record of stakeholder management in complex organizations
- Experience leading organizational change initiatives
- Excellent communication and influence skills
Preferred Qualifications
- Deep expertise in Data & AI/ML technologies
- Knowledge of data privacy regulations and compliance requirements
- Proven ability to lead large-scale technology initiatives from concept to implementation
- Background and practical experience in implementing AI/ML solutions
- Experience with Microsoft technology stack, particularly Microsoft Fabric
- Track record of successful generative AI implementations
- Experience with semantic modeling and analytics best practices
- Excellent stakeholder engagement and communication skills
- Demonstrated ability to build and inspire diverse teams
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Experience in humanitarian or nonprofit sector is a plus





