At a Glance
- Tasks: Drive new business in AI, develop strategic client relationships, and lead consultative sales.
- Company: Global tech services organisation expanding its AI capabilities across Europe.
- Benefits: Competitive salary, hybrid working, private medical cover, and lifestyle perks.
- Other info: Dynamic role with a focus on emerging AI technologies and market trends.
- Why this job: Join a rapidly growing AI-focused business with significant career progression opportunities.
- Qualifications: Experience in enterprise sales and a degree in a relevant field.
The predicted salary is between 60000 - 80000 £ per year.
Our client is an established global technology services organisation that is expanding its specialist AI capabilities across Europe and is looking to appoint an experienced AI Business Development Manager to support the next phase of commercial growth. This is a senior individual contributor role, suited to someone who thrives on opening new markets, developing strategic client relationships and winning complex enterprise opportunities. Working closely with senior leadership, you will play a key role in shaping the regional growth strategy while building a strong pipeline of new business across the UK and EMEA.
The successful candidate will work with organisations at the forefront of artificial intelligence, machine learning and intelligent automation, helping them access specialist services that accelerate AI development, improve model performance and support the deployment of next-generation AI solutions. This opportunity would suit an ambitious commercial professional who enjoys consultative selling, navigating complex stakeholder environments and building long-term client partnerships within a rapidly evolving sector.
Key Responsibilities- Drive new business acquisition across the UK and EMEA, identifying opportunities within AI, advanced technology and enterprise organisations.
- Develop and execute a regional sales strategy focused on sustainable revenue growth and strategic account development.
- Generate and manage a healthy pipeline through targeted prospecting, networking, market research, industry events and referral channels.
- Lead consultative sales engagements, understanding customer challenges and designing tailored service solutions that deliver measurable business value.
- Manage opportunities through the full sales lifecycle, from initial engagement through proposal development, commercial negotiation, contract execution and transition to delivery teams.
- Build trusted relationships with senior business leaders, technical stakeholders and strategic partners to support long-term account growth.
- Collaborate with technical, operational and delivery teams to ensure proposed solutions are commercially viable and aligned with customer objectives.
- Prepare compelling proposals, commercial models and presentations that clearly articulate value and return on investment.
- Monitor industry developments, customer demand and competitor activity, providing commercial insight to support future service development.
- Maintain accurate forecasting, pipeline reporting and CRM management while consistently achieving revenue objectives.
- Proven success within enterprise sales, strategic business development or complex B2B solution sales.
- Experience developing new business within technology, AI, digital services or consulting environments.
- A strong track record of exceeding commercial targets and managing high-value sales opportunities.
- Experience building business in emerging markets or launching new service offerings would be highly advantageous.
- Good understanding of the artificial intelligence ecosystem, including data services, machine learning workflows, model evaluation or related technologies.
- Degree educated in Business, Computer Science, Engineering, Marketing or another relevant discipline.
- Additional commercial, technology or sales qualifications would be considered beneficial.
- Commercially astute with the ability to identify opportunities and convert them into long-term business relationships.
- Strong consultative sales approach, with excellent communication and stakeholder management skills.
- Comfortable engaging with both technical specialists and senior executives.
- Highly organised, proactive and capable of managing multiple complex sales opportunities simultaneously.
- Analytical and strategically minded, with an interest in emerging AI technologies and market trends.
- Self-driven, resilient and motivated by building new business in a fast-paced, evolving industry.
- Competitive salary with uncapped performance incentives.
- Hybrid and flexible working arrangements.
- Private medical and dental cover.
- Enhanced pension contribution.
- Life assurance and income protection.
- Employee wellbeing programme.
- Additional lifestyle benefits, including cycle-to-work, technology purchase and electric vehicle schemes.
- The opportunity to join a rapidly growing AI-focused business at a pivotal stage of its expansion, with significant scope for career progression.
AI Revenue Growth Manager in Slough employer: Skillsearch
Join a forward-thinking global technology services organisation that prioritises innovation and employee growth. As an AI Revenue Growth Manager, you will benefit from a competitive salary, uncapped performance incentives, and a supportive work culture that values flexibility and wellbeing. With opportunities for career progression in a rapidly expanding sector, this role offers a unique chance to shape the future of AI while building meaningful client relationships across the UK and EMEA.
StudySmarter Expert Advice🤫
We think this is how you could land AI Revenue Growth Manager in Slough
✨Get to Grips with Data Visualisation Tools
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✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Skillsearch!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace AI Revenue Growth Manager in Slough
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Skillsearch, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Skillsearch
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Skillsearch’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
