Head of AI impact

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Job Summary

As the Head of AI Impact and Assurance, you will have line management responsibility and advise the organisation on safe, ethical, and highly impactful Artificial Intelligence adoption across the Government Commercial Agency (GCA).

Aligning closely with the Digital and Data Directorate, you will bridge the gap between innovative AI capabilities and rigorous corporate governance. You will lead the enterprise AI pipeline, ensure robust risk management, and lead multi-functional teams to deliver scalable, customer-centric AI solutions that provide measurable value to the public sector. As part of the fast-paced and newly formed Enterprise Service Innovation team, you will have the opportunity to deliver innovative projects that shape the future of the organisation.

Key Accountabilities:

• Enterprise AI Governance and Assurance Leadership: Lead the delivery, integration, and operationalisation of the GCAs AI Governance and Risk Management Framework into Business as Usual (BAU). This involves delivering best-practice, gate-based Responsible AI approaches. You will ensure strict alignment with public-sector expectations, including the UK Government AI Playbook and the Algorithmic Transparency Recording Standard (ATRS), translating complex parameters into actionable "Buy, Build, and Enable" toolkits for technical and non-technical teams alike.

• AI Use Case Lifecycle and Pipeline Oversight: Lead the end-to-end lifecycle of AI use case discovery, validation, and transition across the business. You will oversee a robust pipeline of AI initiativesfrom executing 'Fast Fail' closure on unviable Proof of Concepts (PoCs) to facilitating rigorous Go/No-Go decision gates for high-profile demonstrators. You will assure that every progressing use case possesses a formally validated value case explicitly proving ROI, technical feasibility, and alignment to the Enterprise Service Innovation (ESI) portfolio.

• Shadow AI Mitigation and Continuous Risk Management: Establish and enforce robust oversight mechanisms to identify, audit, and remediate undocumented or decentralised AI applications (Shadow AI) operating across business units. You will maintain a centralised, real-time registry of all assured AI assets and validate third-party AI vendors against internal assurance standards prior to onboarding.

• Advisory and Engagement: Serve as an AI governance advisor to the GCA Operational Committee (OpCo), senior leadership, and project managers. You will provide expert counsel on emerging AI risks, market trends, and regulatory shifts, ensuring the organisation's assurance posture remains proactive. By presenting validated initiatives via governance, you will demonstrate that proposed investments meet all technical, ethical, and strategic delivery standards.

• Customer-Centric Innovation and Value Delivery: Champion a customer-led approach to AI design and implementation, ensuring digital offerings solve high-value problems for buyers and suppliers. You will drive the use of deep user research and feedback loops to continually improve AI products, ensuring they are relevant, enhance decision-making insight, and tangibly improve GCA customer satisfaction scores.

• Corporate Leadership and Capability Building: Exemplify Civil Service leadership by building and directing multi-functional delivery teams and fostering an inclusive, empowered, and high-trust culture. You will act as an advocate for digital change, establishing a community of internal AI Champions, and ensuring your team understands their direct line of sight to the broader GCA strategy. You will set a compelling vision, driving cross-system collaboration and actively supporting the GCA Inclusion & Diversity strategy.

• Lead and guide team members, manage performance to ensure a high-performing team, and support staff development through regular feedback.

Essential Criteria (to be assessed at application stage):

• Line manager experience / capability,

• Proven experience designing, operationalising, and enforcing governance, risk management, or assurance frameworks (specifically concerning AI, data, or emerging technologies) within a complex enterprise environment.

• Demonstrable track record of leading the end-to-end lifecycle of digital or AI use cases, from initial discovery and technical validation (Proof of Concepts) to executive approval, scaling, or controlled closure.

• Significant experience conducting comprehensive risk assessments (such as algorithmic impact, data privacy, and security) and effectively mitigating risks associated with enterprise and "Shadow" technology.

• Measurable experience driving customer-centric digital innovation, utilising user research, feedback mechanisms, and data analysis to ensure technology initiatives deliver proven Return on Investment (ROI) and tangible value to end-users.