AI Solutions & Internal Adoption Lead (Hiring Immediately)

Company Description

Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.

We’re an award-winning employer reflecting how our employees are at the very heart of what we do:

• UK & Ireland's premier AWS, Microsoft & Oracle partner
• 3300+ strong, €350/£300m revenue business
• 10+ years as a Great Place to Work in Ireland & UK
• Best Workplace for Women in the UK & Ireland by GPTW
• Best Workplace for Wellbeing in the UK by GPTW

We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you.

Job Description

Role Purpose

Own the delivery and adoption of AI across Version 1’s support functions. This role is accountable for identifying high-value AI opportunities in HR, Finance, Legal, Marketing, and other internal teams, building and deploying solutions that deliver measurable efficiency gains, and driving adoption so those solutions are actually used. This leader bridges the gap between CoE strategy and real-world business process transformation.

Context

Version 1’s AI Native ambition requires AI adoption to extend well beyond software delivery into every function of the business. Support functions like HR, Finance, Legal, and Marketing handle high-volume, process-heavy work that is well suited to AI-driven automation and augmentation. But these teams rarely have the technical capacity or AI expertise to build and embed solutions themselves.

The AI Solutions & Internal Adoption Lead fills this gap. Sitting alongside the Enablement and Engineering leads within the CoE, this role takes a fundamentally different approach: rather than enabling others to adopt AI tools, this leader owns the end-to-end delivery of AI solutions into support functions, from identifying the opportunity, through build and deployment, to driving adoption and measuring outcomes.

This is a new role created as part of the CoE restructure. It consolidates responsibilities that were previously spread across the AI Platforms & Partner Technology lead (high-value internal builds) and the AI Enablement & Adoption lead (support function adoption), giving these critical activities dedicated leadership and focus.

Key Responsibilities

• Own the AI adoption strategy for all support functions (HR, Finance, Legal, Marketing, and others), with clear roadmaps and measurable targets
• Identify and prioritise high-value AI opportunities across internal functions, working directly with function heads to understand pain points and quantify potential impact
• Lead end-to-end delivery of internal AI solutions, from requirements gathering through build, deployment, and handover
• Manage the AI Platform Specialist (IDC) as direct report, directing build priorities and ensuring delivery quality
• Drive adoption of deployed solutions, ensuring support function teams are trained, supported, and actively using AI tools in their workflows
• Define and track efficiency KPIs for each internal solution, feeding measurable outcomes to the DPO
• Build relationships with support function leadership to maintain a pipeline of AI opportunities and secure ongoing sponsorship
• Collaborate with AI Enablement & Adoption lead on training materials and Champions support for internal solutions
• Work with AI Engineering lead to leverage reusable patterns, automation frameworks, and measurement infrastructure
• Manage the internal solutions catalogue, ensuring all deployed solutions are documented, supported, and continuously improved
• Contribute to the CoE’s quarterly prioritisation process, representing internal adoption opportunities against delivery and enablement workstreams
• Support commercial teams by providing internal case studies and reference implementations that demonstrate AI value to clients

Qualifications

Skills & Experience

Required

• Proven experience leading AI or digital transformation initiatives within enterprise support functions (HR, Finance, Legal, or Operations)
• Strong stakeholder management skills with the ability to engage senior non-technical leaders, understand their business processes, and translate needs into AI solutions
• Track record of delivering measurable business outcomes from technology solutions, not just deployments but actual adoption and efficiency gains
• Working knowledge of Microsoft AI ecosystem (Copilot Studio, M365 Copilot, Azure AI services) and how these tools apply to business process automation
• Experience managing offshore or distributed delivery teams, with the ability to set clear priorities and maintain quality at a distance
• Solid understanding of change management principles and how to drive technology adoption in non-technical teams
• Ability to define and track KPIs, build business cases, and report on ROI at leadership level

Desirable

• Experience in an IT consultancy or professional services environment, particularly in internal transformation programmes
• Knowledge of AI governance frameworks and the EU AI Act, particularly as they apply to internal AI deployments
• Background in business analysis, process improvement, or operational excellence (Lean, Six Sigma, or similar)
• Experience with low-code/no-code platforms and citizen developer programmes
• Familiarity with enterprise service management (ServiceNow, Jira Service Management) and how AI can augment these platforms

Key Relationships

• Head of AI CoE (direct line manager, strategic direction and CoE alignment)
• AI Platform Specialist — IDC (direct report, day-to-day build capacity for internal solutions)
• Support function heads: HR, Finance, Legal, Marketing (primary stakeholders, requirements and adoption sponsors)
• AI Enablement & Adoption Lead (training and Champions support for internal solution rollouts)
• AI Engineering & Developer Productivity Lead (reusable patterns, measurement infrastructure, and technical collaboration)
• BATS (infrastructure provisioning and security for internal deployments)
• ELT (quarterly reporting on internal AI adoption and business impact)

Additional Information

Why Version 1?

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.

• Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits
• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme
• Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance
• Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme
• Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies
• Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat
• Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform.
• Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.

And many more exciting benefits… drop us a note to find out more.

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