Children's Investment Fund Foundation (CIFF)
Head of AI & Business Intelligence - London
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Head of AI & Business Intelligence - London
Director – Artificial Intelligence & Business Intelligence (AI/BI) Strategy
(or equivalent senior leadership title)
About the Role
You will lead the development and delivery of the CIFF’s AI and BI strategy, guiding the organisation’s use of artificial intelligence, data, and insights to boost operational efficiency and portfolio management. This role requires a blend of strategic leadership, operational execution, and technical expertise to architect and deploy AI-driven solutions for:
- Reinforcing programme effectiveness
- Enhancing risk and resilience management (e.g., diligence)
- Supporting Monitoring, Evaluation, and Learning (MEL) infrastructure
- Enabling evidence-based decision-making
- Expanding organisational transparency
You will champion agentic AI for CIFF workflows, oversee experimentation cycles, and embed AI/BI insights into:
- Portfolio monitoring
- Grant lifecycle management
- Performance management (visualisation & digital dashboards)
With a mix of deep technical insight and pragmatic sector knowledge, you will ensure data translates into measurable impact across delivery, advisory, and leadership spheres.
Responsibilities
1. Strategic Leadership & Vision
- Define AI/BI strategy to align with CIFF’s mission, optimising portfolio performance, grant management, and risk management.
- Identify GenAI, advanced analytics, and improved insights opportunities to streamline internal workflows in:
- Due diligence
- Proposal reviews
- Grantee reporting
- Risk analysis
- Operational decision-making
- Develop, industrialise, and scale agentic AI/ML solutions for enterprise-wide efficiency, including:
- Reusable data products with a single source of truth
- Roll-out and integration of AI tools into workflows
- Modular, cost-effective AI platforms that are scalable and sustainable
- Promote data stewardship, ethical AI, transparency, and governance organisation-wide.
- Scale AI/MLOps and LLMOps to ensure actionable, repeatable, enterprise-level AI deployment.
- Uphold security, governance, and cost-benefit analysis for all AI systems.
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2. Impact-Driven Analytics & AI Initiatives
- Deploy AI/ML models for collective intelligence and strategic growth (e.g., visualisation dashboards, portfolio scorecards).
- Support the Enterprise Architect in modernising BI, including semantic layers and self-service tools.
- Collaborate with programme teams to embed standardised KPIs and outcome indicators into systems, guided by mission frameworks and the Impact Knowledge Hub (IKH).
- Assess GenAI’s potential in:
- Knowledge management
- Risk intelligence
- Staff research & productivity tools
3. Stakeholder Collaboration & Capacity Building
- Partner with programme, ops teams, Technology for Impact (T4i), and IKH to co-create AI/BI solutions aligned with CIFF priorities.
- Act as an internal proving ground for responsible AI approaches (pre-pilot review for external dissemination).
- Build internal capability through training, toolkits, and scalable analytics for non-technical users.
- Manage vendor relationships and system influencer partnerships.
4. Responsible AI, Governance & Compliance
- Establish and manage responsible AI governance for all internal systems/data.
- Align with T4i’s responsible AI framework and compliance (e.g., privacy-by-design, fairness). Ensure models meet philanthropic & nonprofit standards.
- Safeguard privacy, ethical bias mitigation, and adherence to global regulations on sensitive/confidential datasets.
5. Team Leadership & Capability Development
- Lead a multi-disciplinary (AI/ML, analytics, BI) team in line with modern cloud/data platforms.
- Grow an internal "AI CoP" (community of practice) for ongoing innovation.
- Champion continuous learning via ability-building and tech adoption tailored to CIFF’s context.
Requirements
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Skills & Experience
- formal qualifications/certifications in AI, data science, digital transformation (e.g., Microsoft AI Leadership Certification) are valued but not essential.
- Prioritised over degrees: proven experience in:
- Leading enterprise-scale AI/BI strategy, adoption, and governance with measurable impact.
- Social sector specialisation (NGOs, philanthropy, high-impact organisations) is critical.
- Technical expertise:
- Deep AI/ML (generative, analytics, predictive).
- Data modeling, analytics strategy, and implementation experience.
- Ethical AI, privacy governance, and bias mitigation with framework alignment.
- Social impact commitment: Demonstrated ability to use AI for equitable, community-centred outcomes.
- Communication: Articulate complex data insights to C-suite, boards, donors, and field teams.
- Recognition for standing between tech and non-tech stakeholders—turning insights into actionable decisions.
- Experience applying GenAI to:
- Knowledge synthesis
- Grantee/donor engagement (e.g., summarisation, automation).
- Balance innovation with equity/social responsibility ethos.
Key Working Relationships
- Director-to-Director: Head – Digital & Tech Solutions (India Operations), Head of Tech Support, Enterprise Architect, Head of Change Delivery.
- Cross-Team: Mission Leaders, COOs, T4i/IKH centres, HR, Impact Knowledge Hub.
- External: Philanthropic grantors, grantees, vendors.
Management Dimension
- Third-party supplier management (AI tool vendors, integration partners).
Benefits
- Work Policy: Hybrid in-office/home-flexible, adjustable as needed.
- Competitive Salary + Performance Bonus.
- Annual Leave: 25 days (build to 30 days post-3 years).
- Wellbeing: Training/Wellbeing allowance.
- Insurance: Life + medical.
Deadline: Submissions by Friday, 26 June 2026. Early closure possible for high-applicant volume.
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