At a Glance
- Tasks: Drive AI adoption by building tools and automating workflows for teams.
- Company: Join TeamFeePay, a dynamic software platform for football clubs.
- Benefits: Enjoy a competitive salary, healthcare, and professional development opportunities.
- Other info: Collaborative culture with opportunities for growth in a fast-paced environment.
- Why this job: Make a real impact by turning ideas into practical AI solutions quickly.
- Qualifications: Experience with AI tools and a strong problem-solving mindset required.
The predicted salary is between 50000 - 60000 £ per year.
We are looking for an AI Enablement Lead to drive the practical adoption of AI across the business. This is a hands-on role focused on building tools, automating workflows, and helping teams use AI in their day-to-day work. This is not a strategy role. We are looking for someone who can take ideas and turn them into working solutions quickly.
Company Purpose
TeamFeePay is a software platform for football clubs, helping club committees and volunteers with their club development needs and day-to-day management. Our software and account-managed service supports clubs with our 5-Pillar Club Development approach.
- Finance
- People
- Governance
- Facilities & Equipment
- Football
TeamFeePay – Employee Benefits
- A collaborative and supportive culture and working environment
- Competitive salary
- Vitality healthcare
- Death in Service
- Wellbeing hub
- Standard pension and holidays
- Professional development opportunities
Main Responsibilities
- Work directly with Sales, Customer Success and Operations teams to identify opportunities for AI-driven improvements
- Build and deploy AI-powered workflows, tools and automations (e.g. Claude, GPT, APIs, internal tooling)
- Develop and manage AI use cases such as call analysis, content generation, onboarding support, and internal assistants
- Run weekly training sessions and hands-on workshops to improve adoption across teams
- Translate business problems into practical AI solutions
- Rapidly prototype and iterate on ideas, focusing on speed and impact
- Document and share best practices across the organisation
- Continuously identify opportunities to reduce manual work and improve efficiency
What Success Looks Like
- AI tools are actively used across teams (not just tested)
- Clear reduction in manual workload in key processes
- Faster turnaround times across Sales, CS and Operations
- Increased confidence and capability in using AI across the business
Requirements
- Experience building and deploying AI tools or automations in a business environment
- Strong understanding of tools such as Claude, ChatGPT, APIs, Zapier/Make or similar
- Ability to move quickly from idea to execution
- Strong problem-solving mindset with a focus on practical outcomes
- Comfortable working directly with non-technical teams
- Ability to simplify complex concepts and train others effectively
Nice to Have
- Experience working in a SaaS or high-growth environment
- Experience with Salesforce
- Basic coding ability (Python, JavaScript or similar)
What We’re Looking For
- Builder mindset – someone who ships, not just plans
- High ownership and accountability
- Comfortable working in a fast-moving, evolving environment
- Strong communicator who can work across multiple teams
AI Enablement Lead (Belfast based) employer: TeamFeePay
Join a dynamic and supportive team as a Business Development Representative in Manchester, where your passion for grassroots football can thrive. We offer a competitive salary, comprehensive healthcare benefits, and ample opportunities for professional development within a collaborative work culture. With a focus on employee wellbeing and a commitment to driving growth, you'll find a rewarding environment that values your contributions and fosters your career progression.
StudySmarter Expert Advice🤫
We think this is how you could land AI Enablement Lead (Belfast based)
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We think you need these skills to ace AI Enablement Lead (Belfast based)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at TeamFeePay, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at TeamFeePay. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at TeamFeePay
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at TeamFeePay!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
