AI Governance & Advanced Analytics Engineer

Plan International

Woking

On-site

GBP 45,000 - 52,000

Full time

14 days+

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Job summary

Plan International is seeking a Senior AI and Analytics leader to drive responsible adoption, governance and delivery of AI, analytics and intelligent automation across the data and reporting landscape. You will enable AI-assisted insight generation, self-service analytics, natural-language reporting and automated solutions using Microsoft Fabric, Power BI, Copilot and related platforms.

The role combines strategy and hands-on delivery: shaping guardrails, advising business teams, building

Qualifications

Proven experience in Information Systems, Computer Science, Data Science, Information Management or a related field.
Experience in AI enablement, advanced analytics, data governance, analytics engineering or BI transformation.
Hands-on experience with enterprise data and analytics platforms such as Microsoft Fabric, Power BI, Snowflake, DBT, SQL, Python, Power Automate or Copilot.
Strong understanding of semantic models, metadata, business definitions, data lineage and analytics quality controls.
Ability to translate business needs into governed AI, analytics and automation use cases with clear success criteria.
Knowledge of responsible AI principles, including transparency, human oversight, fairness, privacy, ethical use, security and accountability.
Practical understanding of AI risk controls, including secure access, data protection, vendor assurance, output evaluation, monitoring and incident escalation.
Strong communication, facilitation and stakeholder management skills in a global, multicultural environment.
Ability to move from concept to prototype, testing, documentation and adoption.

Responsibilities

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.