Advanced Analytics Engineer

This role leads the responsible adoption, governance and practical delivery of artificial intelligence, advanced analytics and intelligent automation across Plan International’s data and reporting landscape. It translates organisational priorities into high-value AI and analytics use cases that are grounded in trusted data, clear business definitions, responsible AI principles and measurable outcomes. The position holder enables AI-assisted insight generation, self-service analytics, natural-language reporting and intelligent automation using Microsoft Fabric, Power BI, Copilot, Copilot Studio, Snowflake, DBT and related enterprise data platforms.

The role ensures that AI and advanced analytics solutions are secure, explainable, well documented, human-in-the-loop and aligned to Plan International’s data governance, privacy, safeguarding and information security expectations.

This role strengthens organisational decision-making by helping teams move beyond static dashboards towards trusted, governed and actionable analytics. It supports Plan International’s mission by enabling staff to use AI and advanced analytics responsibly to improve insight, reduce manual effort, strengthen data quality and increase the value derived from enterprise data across more than 80 countries. The role combines strategic enablement with hands-on delivery: shaping AI guardrails, supporting safe experimentation, advising business teams, building prototypes, strengthening AI-ready data products, and ensuring solutions are secure, explainable, monitored and sustainable.

• Define and maintain practical AI governance standards, Copilot, data agents and AI-assisted decision support
• Ensure AI and advanced analytics use cases follow human-in-the-loop, transparency, accountability, privacy and security principles
• Assess and prioritise AI use cases based on business value, data readiness, risk, feasibility and organisational capacity
• Develop minimum standards for AI solution documentation, prompt design, evaluation, testing, approval and ongoing monitoring
• Coordinate with Data Governance, Privacy, Information Security, Risk and Internal Audit to ensure AI solutions are responsibly controlled
• Maintain an AI and advanced analytics use‑case register, including ownership, data sources, controls, benefits, risks and lifecycle status
• Support responsible adoption of Microsoft Copilot, Copilot Studio, Fabric data agents and related AI capabilities in line with organisational guardrails
• Promote practical AI governance that balances innovation, user empowerment, safeguarding, compliance and operational control
• Establish governance standards for AI‑ready metadata so AI and Copilot experiences are grounded in authoritative, well‑structured and properly labelled content
• Establish AI risk management processes including impact assessments, model and tool inventories, approval workflows, testing criteria, incident response, audit evidence and periodic review.
• Monitor relevant AI regulation, standards and good practice, including risk‑based AI governance frameworks, privacy requirements and sector‑specific ethical obligations affecting humanitarian and development work.

• Design and enable advanced analytics solutions using Microsoft Fabric, Power BI, Snowflake, DBT, SQL and approved enterprise data sources
• Strengthen semantic models, measures, business definitions and metadata so AI-generated insights are grounded in trusted analytics logic
• Support development of natural‑language analytics, Copilot‑enabled reporting, data‑agent experiences and AI‑assisted insight discovery
• Create prototypes and proofs of concept for AI‑enabled…