Job Description:

**AI Enablement Lead** (Contract)

Duration: 6 Months (Possibility for extension)

Location: London/Hybrid (3 days per week on site)

Rate: A highly competitive Umbrella Day Rate is available for suitable candidates

Role Profile

The AI Enablement Lead is an exciting new role in the Data Analytics Function within the EMEA Data Management Office (DMO). They will work with Technology and Business leads to drive the adoption, governance, and value realisation of AI across the organisation.

The role acts as a bridge between business needs and AI capabilities, supporting the development of use cases, driving user adoption, building organisational AI literacy, and establishing best practices for responsible AI usage.

Key Accountabilities:

• Partner with Technology and Business teams to develop and execute the organisation's AI enablement strategy, accelerating the transition from AI experimentation to scalable, enterprise-wide adoption.
• Collaborate with business and technology teams to identify, prioritise, and deliver high-value AI use cases that improve productivity, decision-making, customer outcomes, and operational efficiency.
• Establish and maintain AI enablement capabilities, including playbooks, frameworks, reusable assets, prompt libraries, agent templates, and best-practice guidance.
• Drive adoption of AI solutions, AI agents, and workflow automation across business functions, ensuring successful integration into business processes and ways of working.
• Build strong relationships with senior stakeholders, technology teams, and business leaders to secure sponsorship, drive engagement, and promote AI innovation.
• Work with Technology teams to develop and support a network of AI Champions, fostering knowledge sharing, grassroots adoption, and continuous capability development.
• Lead AI capability-building initiatives, including training, coaching, communities of practice, communication, and change management activities.
• Support business areas in taking AI opportunities from ideation and proof of concept through to proof of value, deployment, and adoption at scale.
• Create feedback mechanisms and adoption insights to support the continuous improvement of AI tools, services, and operating models.
• Promote responsible AI adoption, ensuring alignment with regulatory requirements, governance standards, and internal policies.
• Define, monitor, and report on AI adoption, value realisation, operational performance, user satisfaction, productivity improvements, and return on investment (ROI).

Skills & Experience:

• Significant experience leading AI adoption, digital transformation, technology enablement, or organisational change initiatives.
• Proven experience applying AI technologies to improve business processes, productivity, customer outcomes, and operational efficiency.
• Demonstrated success scaling AI, analytics, automation, or digital capabilities from pilot through to enterprise adoption.
• Strong understanding of Generative AI, Large Language Models (LLMs), AI agents, workflow automation, and machine learning concepts, and technologies such as Microsoft Copilot, Copilot Studio, Azure AI Foundry, Power Platform, ChatGPT, or Claude.
• Experience identifying and delivering high-value AI use cases, with the ability to define and track adoption, business outcomes, productivity improvements, and ROI.
• Proven ability to lead AI enablement activities, including training, coaching, champion networks, and change management initiatives.
• Strong stakeholder management skills, with experience working across business, technology, and senior leadership teams to drive adoption and deliver measurable outcomes.
• Good understanding of responsible AI, AI governance, data privacy, information security, and regulatory compliance requirements.
• Passionate about AI, innovation, and emerging technologies, with a collaborative, customer-focused approach and the ability to thrive in a fast-paced, evolving environment.
• Strong awareness of AI architecture, data readiness, information management, and governance considerations required to support enterprise AI adoption.
• Experience working with cloud environments & components (e.g. on Google Cloud Platform or equivalent)
• Good understanding of Embedded AI Analytics and AI Powered Data Analytics in software applications like Alteryx and Power BI and how this can enhance and/or automate Reporting and Analytics outputs.

Candidates will need to show evidence of the above in their CV in order to be considered.

If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team.

We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.