AI and Data Specialist

Responsibilities

Artificial Intelligence Strategy and Solutioning

• Collaborate with key stakeholders to formulate the long-term AI strategy, implementation roadmap, and use-case prioritization plan that directly supports the goals of the UNFPA’s Digital Strategy.
• Manage end-to-end AI initiatives from ideation and technical design through development, integration, and deployment, ensuring solutions are scalable, secure, and compliant with governance policies.
• Design, architect, and implement agentic AI solutions capable of complex reasoning, dynamic response generation, and multi-step task orchestration.
• Establish best practices, standards, and training materials for AI development and ethical usage across UNFPA.

Artificial Intelligence and Data Governance

• Lead the design, implementation, and maintenance of comprehensive AI and Data Governance Frameworks, including policies and procedures to ensure ethical, responsible, and compliant usage across the organization.
• Act as the primary liaison with information security and legal teams to enforce structured approaches for data privacy and information security throughout all AI and Data platforms and initiatives.
• Drive organizational capacity and awareness by developing and delivering targeted training and advocacy initiatives on AI principles, data literacy, and responsible tool usage.

Data Architecture

• Own the overall design, development, and maintenance of enterprise data architecture for programme data.
• Define and lead the architecture for the full data lifecycle, encompassing platforms for data collection, management, secure storage, advanced analysis, and visualization.
• Collaborate directly with Digital CoE stakeholders to translate current and emerging data and analysis requirements into comprehensive, robust architectural solutions.
• Establish data modeling standards and principles to optimize data ingestion, quality, security, and performance across all platforms.

Product Manager of AI and Data Solutions

• Serve as the dedicated Product Manager for key Digital CoE data solutions, responsible for working with relevant business owners to develop the product’s vision, strategy, and overall success.
• Act as the primary interface between business stakeholders and IT teams, ensuring development and rollout aligns with business needs.
• Manage the development lifecycle, including sprint planning and user acceptance testing, and coordinate with infrastructure and vendor teams to ensure the smooth deployment and operational health of the platform.
• Define key performance indicators (KPIs) for the product and regularly monitor user adoption, impact, and overall satisfaction to guide continuous iteration and improvements.

Skillset

• Advanced university degree in Information Technology, Business Administration or related discipline.
• A first-level university degree in combination with 2 additional years of qualifying experience may be accepted in lieu of the advanced university degree.
• A minimum of seven years of increasingly responsible professional experience developing AI solutions, Data pipelines or complex custom software applications is required.
• Experience in delivering working Data models, code, AI models and deployed solutions independently and efficiently is required.
• Solid background in data management, cloud architecture, secure APIs, identity, and IT process governance is required.
• Documented experience with Google Cloud and Google AI environments is highly desirable.
• Familiarity with digital product development, agile methodologies, or human-centered design is desirable.
• Awareness of AI ethics, responsible AI, and human rights considerations is desirable.
• Awareness of Information Security and Data Privacy best practices is desirable.
• Experience working with or within the UN system or similar international organization is desirable.