The Organisation
Plan International is an independent development and humanitarian organisation that advances children’s rights and equality for girls. We believe in the power and potential of every child but know this is often suppressed by poverty, violence, exclusion and discrimination. And it is girls who are most affected.
Working together with children, young people, supporters and partners, we strive for a just world, tackling the root causes of the challenges girls and vulnerable children face. We support children’s rights from birth until they reach adulthood and we enable children to prepare for and respond to crises and adversity. We drive changes in practice and policy at local, national and global levels using our reach, experience and knowledge.
For over 85 years, we have rallied other determined optimists to transform the lives of all children in more than 80 countries.
We won’t stop until we are all equal.
Role Purpose
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.
Accountabilities
AI Strategy, Governance & Responsible Adoption
- 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.
Advanced Analytics, Semantic Models & Data Products
- 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 analytics, ensuring clear evaluation criteria before broader adoption
- Work with technical teams to connect AI solutions to governed data sources while preserving access controls, lineage and security
- Define and maintain metadata and ontology requirements for AI-enabled analytics, including SharePoint managed metadata, content types, business taxonomy, Microsoft Fabric ontology, OneLake catalog metadata, Power BI semantic model descriptions, glossary terms, tags, relationships, synonyms and data-agent grounding instructions
- Work with SharePoint owners, data product owners and governance stakeholders to improve metadata quality, ownership, access control, source-of-truth clarity and discoverability for AI-assisted search, reporting and insight generation
- Ensure AI and advanced analytics products include clear ownership, documentation, support model, quality checks and change controls
- Define evaluation methods for AI-assisted analytics, including accuracy checks, hallucination testing, bias and fairness review, usability testing, model or prompt performance monitoring and clear criteria for moving prototypes into production.
- Partner with data engineering and architecture teams to ensure AI solutions are production-ready, scalable, cost-aware, resilient and integrated with approved enterprise platforms and security controls.
AI Enablement, Change Management & Communications
- Develop guidance, playbooks and training materials for responsible use of AI, Copilot and advanced analytics across Plan International
- Deliver enablement sessions, clinics and communications that help business users understand what AI can safely support and where controls are required
- Support stakeholder engagement for AI initiatives, ensuring expectations are realistic and business adoption is planned from the start
- Coordinate with vendors and implementation partners by reviewing AI-related deliverables, technical designs and governance implications
- Communicate AI capabilities, limitations, risks and benefits in clear language for global business and technical stakeholders
AI Centre of Excellence Operations
- Curate and maintain AI and advanced analytics resources, including templates, use-case guidance, evaluation checklists and lessons learned
- Promote consistent and responsible AI ways of working across the global network through practical standards and reusable assets
- Monitor emerging trends in Microsoft Fabric, Power BI, Copilot, AI agents, responsible AI, analytics engineering and data governance
- Provide thought leadership on how Plan International can safely scale AI-enabled analytics while maintaining trust, accountability and value
- Track and report value delivered by AI and advanced analytics initiatives, including adoption, time saved, quality improvement, risk reduction, user satisfaction and benefits realised.
Safeguarding, Gender Equality & Inclusion
- Ensures that Plan International’s global policies for Safeguarding Children and Young People and Gender Equality and Inclusion are fully embedded in accordance with the principles and requirements of the policy including relevant Implementation Standards and Guidelines as applicable to their area of responsibility. This includes, but is not limited to, ensuring staff and associates are aware of and understand their responsibilities under these policies and Plan International’s Code of Conduct (CoC), their relevance to their area of work, and that concerns are reported and managed in accordance with the appropriate procedures
The responsibilities outlined in this role profile are not exhaustive and may be adjusted in line with organisational priorities, emerging needs and the evolving scope of the role.
Technical expertise, skills and knowledge required
Essential
- 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.
Desirable
- Professional certifications or training in AI, data science, Microsoft Fabric, Power BI, Snowflake, DBT, data governance or responsible AI
- Experience working in the international development, NGO, or humanitarian sector
- Experience with Azure AI Foundry, Copilot Studio, Fabric data agents, Azure OpenAI, AI Builder, Model Context Protocol (MCP), machine learning, Python or notebook-based analytics
- Experience supporting change, release management, user adoption and governance for AI or analytics products
- Experience with regulatory or standards-based AI governance approaches such as NIST AI RMF, ISO/IEC 42001, data protection impact assessments or equivalent organisational risk frameworks.
Location: The location of this role is United Kingdom.
Type of Role: Permanent contract
Reports to: Director of Data Management, Analytics and Insights
Salary for the role: The typical salary for the role is £48317 per annum.
Closing Date: Monday 02 November 2026 at 21:59 pm UK time, early application is strongly encouraged. We review applications on a rolling basis and reserve the right to close the advert ahead of the advertised closing date
Equality, diversity and inclusion is at the very heart of everything that Plan International stands for.
We want Plan International to reflect the diversity of the communities we work with, offering equal opportunities to everyone regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex or sexual orientation.
Plan International is based on a culture of inclusivity and we strive to create a workplace environment that ensures every team, in every office, in every country, is rich in diverse people, thoughts, and ideas.
We foster an organisational culture that embraces our commitment to racial justice, gender equality, girls’ rights and inclusion.
Plan International believes that in a world where children face so many threats of harm, it is our duty to ensure that we, as an organisation, do everything we can to keep children safe. This means that we have particular responsibilities to children that we come into contact with and we must not contribute in any way to harming or placing children at risk.
A range of pre-employment checks will be undertaken in conformity with Plan International's Safeguarding Children and Young People policy. Plan International also participates in the Inter Agency Misconduct Disclosure Scheme. In line with this scheme we will request information from applicants previous employers about any findings of sexual exploitation, sexual abuse and/or sexual harassment during employment, or incidents under investigation when the applicant left employment. By submitting an application, the job applicant confirms their understanding of these recruitment procedures.
Please note that Plan International will never send unsolicited emails requesting payment from candidates.
Proven experience in information systems, computer science, data science or related field; hands-on experience with Microsoft Fabric, Power BI, Snowflake, DBT, SQL, Python, Power Automate or Copilot; strong understanding of semantic models, metadata, data lineage and analytics quality controls; knowledge of responsible AI principles.
Key Responsibilities
- shaping AI guardrails
- building prototypes
- strengthening data products
Skills & Tools
Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Snowflake, DBT, SQL, Python, Power Automate, Azure AI Foundry, Azure OpenAI, AI Builder, Model Context Protocol (MCP)
Job Details
- Category: Information Technology
- Seniority: Mid Level
- Commitment: Full Time
- Workplace: Remote — United Kingdom
- Salary: GBP 48,317 – 48,317 / year
- Languages: English
About Plan International
An independent development and humanitarian organisation advancing children's rights and equality for girls. — Industry: Non-Profit Organizations and NGOs