AI Lead

Stellenbeschreibung:

The AI Lead reports to the Head of Data and Analytics and provides senior technical leadership, expert guidance and oversight for AI across MaPS. The role acts as the organisation's senior AI specialist, setting technical direction, engineering standards and best practice for the design, development, deployment and operation of AI-enabled solutions. Working across technology, product, delivery, governance and business teams, the AI Lead will ensure AI capabilities are developed safely, effectively and in line with organisational standards, while supporting the wider adoption of AI across MaPS. The AI Lead provides leadership to AI specialists, including the Lead Data Scientist, and serves as a trusted advisor to senior stakeholders on AI technologies, opportunities, risks and implementation approaches. The role plays a key part in developing organisational capability, fostering innovation and ensuring AI solutions deliver sustainable value.

AI technical leadership: Provide senior technical leadership for AI across MaPS, setting direction on AI technologies, engineering approaches, standards and best practice.

AI solution assurance: Provide technical oversight and assurance for AI initiatives, ensuring solutions are secure, scalable, maintainable and aligned with enterprise architecture, governance and security requirements.

Organisational adoption and enablement: Support the adoption of AI across MaPS by helping teams identify opportunities, understand risks and implement AI solutions effectively.

Cross-functional partnership: Partner with colleagues across Technology and Change, including Software Engineering, Data and Analytics, Architecture, Security, Product, Delivery and User-Centred Design teams to support successful AI implementation.

Responsible AI and governance: Lead the application of responsible AI principles, ensuring appropriate controls, monitoring, assurance and risk management practices are embedded within AI solutions.

Technology leadership and innovation: Monitor developments in AI, evaluate emerging technologies and identify opportunities to improve services, efficiency and customer outcomes.

AI capability building: Develop AI capability across MaPS through coaching, mentoring, knowledge sharing and support for both technical and non-technical colleagues.

Stakeholder engagement: Build strong relationships across the organisation, acting as a trusted advisor and communicating complex AI concepts, opportunities and risks in a clear and practical way.

External engagement and horizon scanning: Engage with suppliers, partners and professional communities to maintain awareness of industry developments and emerging best practice.

Team leadership: Lead and develop AI specialists, including line management of the Lead Data Scientist role, providing technical direction, coaching and support while fostering a collaborative, high-performing team environment.

At MaPS, we take pride in our flexible approach to work. As standard, we work on a hybrid basis with a minimum of 2 days in the office per month. Hybrid working is a voluntary, non-contractual arrangement and our headquarters in Bedford will be your contractual place of work. The number of days that anyone will be able to work at home will be determined primarily by business needs, but personal and other relevant circumstances will also be considered. If you are successful, any opportunities for hybrid working, including whether a hybrid working arrangement is suitable for you, will be discussed with you prior to you taking up your post.

The Money and Pensions Service (MaPS) is based in Bedford, in a recently renovated modern office. This is a wonderful opportunity for you to become an integral part of a dynamic organisation, working to help people across the UK.

At the heart of the Money and Pensions Service are our values - caring, connecting, and transforming, which are the foundation of our success. They permeate every area of our work and define all our business relationships and the way we work with each other. We're not only looking for the best people to come and work for us, but we need people who align themselves with our values:

Caring: We care about our colleagues and the people whose lives we are here to transform.

Connecting: We will transform lives through our ability to make positive connections.

Transforming: We are committed to transforming lives and making a positive societal impact.

We are committed to attracting people of all backgrounds. We work hard to ensure that we have a progressive approach to inclusion, equity, and belonging. We really do want our colleagues to "bring their whole selves to work."

Security Successful candidates must undergo a basic (or equivalent) criminal record check. People working with government assets must complete checks.

Job Reference: MaPS01297 Close Date: 31/08/2026

Nationality requirements This job is broadly open to the following groups:

UK nationals

nationals of the Republic of Ireland

nationals of Commonwealth countries who have the right to work in the UK

nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the

nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)

individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020

Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service

Qualifications:

AI leadership: Significant experience providing leadership for AI initiatives, establishing technical direction, engineering standards and best practices across an organisation.

AI expertise: Strong understanding of AI, data science, machine learning, generative AI and related technologies, including their opportunities, risks, limitations and practical application within business environments.

Technical leadership: Experience leading the design, development, deployment and operation of AI-enabled solutions, providing expert guidance to technical teams and stakeholders to deliver measurable value.

Responsible AI and governance: Strong understanding of the governance, risk, security and assurance arrangements required to support responsible development of AI products.

Stakeholder engagement: Proven ability to influence, challenge and build strong relationships across technical and non-technical communities, acting as a trusted advisor on AI-related matters.

Partnership working: Experience working across product, technology and business functions to deliver AI-enabled change and achieve shared outcomes.

Innovation and continuous improvement: Experience evaluating emerging technologies and translating new developments into practical opportunities that deliver organisational value.

Capability building: Experience developing organisational capability through coaching, mentoring, knowledge sharing and supporting colleagues to apply AI effectively and responsibly.

Leadership: Strong leadership skills with experience developing people, supporting technical specialists, creating collaborative high-performing teams and operating effectively as part of a senior leadership team.

Communication: Excellent communication and engagement skills, with the ability to explain complex AI concepts, opportunities and risks in an accessible and practical way for different audiences.