Head of AI & Business Intelligence - London

About the role

Main purpose of the role You will lead the development and delivery of CIFF's internal Artificial Intelligence (AI) and business intelligence (BI) strategy for leveraging artificial intelligence, data, and insights to accelerate operational efficiency and portfolio management. This senior leadership position combines strategic direction with operational execution and is accountable for shaping, building, and deploying AI and BI solutions that strengthen programme effectiveness, help manage risk and resilience (e.g. through diligence) support Monitoring, Evaluation, and Learning (MEL) infrastructure, enable evidence-based decision-making, and enhance organizational transparency. You will deliver agentic AI solutions for CIFF workflows, oversee experimentation and learning cycles, and embed insights into portfolio monitoring, grant life cycle management and performance management, including visualisation and digital dashboards. You will use a combination of hands-on technical expertise, social sector understanding, to operate effectively across delivery, advisory, and leadership responsibilities-translating data into decisions and decisions into measurable impact. Role's responsibilities Operating across CIFF's internal technology and data functions, the role reports to the Head - Digital & Technology Solutions and India Operations. It partners closely with programme and operations teams, as well as with the Impact Knowledge Hub (IKH) and the Tech for Impact (T4i) to co-design and deliver AI and BI solutions that improve organizational efficiency, portfolio management, and data maturity through internal systems and tools that enable CIFF staff to manage grants, monitor investments and make well-informed operational decisions. Strategic Leadership & Vision Define the long-term AI and BI strategy to support organizational efficiency, grant management, and portfolio performance monitoring. Identify opportunities where GenAI, advanced analytics, and improved insights can improve internal workflows, due diligence processes, proposal review, grantee reporting, risk management, and operational decision-making. Incubate and industrialise agentic AI solutions, platforms, and accelerators for internal use; establish reusable data products and a reliable single source of truth for portfolio data; embed solutions into enterprise workflows for efficiency; and leverage them across programme delivery and internal process optimisation. Promote a culture of data stewardship, data governance, transparency, and ethical AI adoption across the CIFF staff and systems. Ensure agentic AI solutions progress from proofs of concept to scaled, repeatable, value generating offerings through robust Machine Learning(ML)Ops/Large Language Model Ops practices. Lead organization wide internal adoption of agentic AI to improve productivity, quality, and scalability. Design solutions that (a) remain modular and extensible, (b) meet security and governance requirements and operate at enterprise scale, and (c) demonstrate cost-effectiveness and sustainability at organisational scale. Impact-Driven Analytics & AI Initiatives Develop AI/ML models that enable strategic scaling of CIFF's operations and collective intelligence (through data visualisation and similar platforms. Support the Enterprise Architect in modernizing the BI ecosystem (e.g., semantic layer and self-service BI) and deliver real-time impact dashboards, programme scorecards, and portfolio insights. Work with missions, programme teams to embed standardized KPIs and outcome indicators into monitoring systems, in line with frameworks set by mission leads and IKH. Scale GenAI solutions to improve internal knowledge management and risk analysis, staff-led research and synthesis tools, and operational productivity. Stakeholder Collaboration & Capacity Building Work closely with programme and operational teams, with the T4i and IKH Centres of Excellence, and with the CIFF ecosystem, to co-create internal AI and BI solutions aligned with organizational priorities and standards. Build internal capability through training, toolkits, and broader access to analytics for non-technical users. Support and collaborate with T4i by providing an internal proving ground for responsible AI approaches, helping pilot and refine solutions before T4i coordinates them externally with grantees and partners. Manage relationships with technology vendors and implementation partners supporting internal systems. Responsible AI, Governance & Compliance Lead and oversee the responsible AI governance approach for internal systems, tools and data products, ensuring internal deployments meet organisational standards. Work with T4i to maintain a shared and aligned responsible AI governance approach, drawing on CIFF's responsible AI framework as the common foundation, and ensuring coherence across internal and programmatic contexts. Ensure data privacy, ethical data use, and compliance with relevant global and regional

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