At a Glance
- Tasks: Drive go-to-market strategies for AI capabilities and engage with enterprise executives.
- Company: Join AWS, a leader in cloud technology and innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI innovation and make a significant impact on global markets.
- Qualifications: Experience in business development and strong communication skills.
The predicted salary is between 81000 - 99000 £ per year.
Amazon Web Services (AWS) in London is seeking a Business Development Specialist for AI Acceleration in the AWS Specialist and Partner Organization.
You will drive end-to-end go-to-market strategies for Amazon Connect's generative and agentic AI capabilities.
You will lead cross-functional alignment with AWS field teams, product, and marketing to accelerate customer adoption and revenue growth across global markets, engaging enterprise executives.
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AI Acceleration GTM Strategist in London employer: Amazon Web Services (AWS)
Amazon Web Services (AWS) is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Employees benefit from extensive growth opportunities, competitive compensation, and the chance to work on cutting-edge AI technologies that shape the future of business. With a commitment to diversity and inclusion, AWS provides a supportive environment where every team member can thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Acceleration GTM Strategist in London
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨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 Amazon Web Services (AWS)!
✨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 Acceleration GTM Strategist in London
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 Amazon Web Services (AWS), 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 Amazon Web Services (AWS)
✨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 Amazon Web Services (AWS)’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.
