At a Glance
- Tasks: Drive AI infrastructure opportunities and build partnerships across EMEA with NVIDIA and ecosystem players.
- Company: Join DDN, a leader in AI infrastructure with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with potential to impact the AI landscape across EMEA.
- Why this job: Shape the future of AI by influencing strategic opportunities and building trusted relationships.
- Qualifications: 10+ years in business development with strong AI infrastructure knowledge and relationship-building skills.
The predicted salary is between 54000 - 66000 £ per year.
The EMEA Strategic AI Ecosystem & NVIDIA Business Development Lead at DDN is responsible for identifying, influencing, and accelerating strategic AI infrastructure opportunities originating through NVIDIA and the broader AI ecosystem across EMEA. This relationship-driven role builds trusted partnerships across NVIDIA, cloud providers, AI-native companies, NeoCloud providers, and ecosystem partners to drive pipeline growth and expand DDN's market reach. The ideal candidate combines executive presence, commercial acumen, and a strong understanding of AI infrastructure and ecosystem dynamics to shape opportunities from early engagement through deployment.
Core Responsibilities
- Build and maintain executive, sales, partner, and technical relationships across NVIDIA and the broader AI ecosystem throughout EMEA.
- Identify and influence AI infrastructure opportunities being driven by NVIDIA, OEMs, VARs, cloud providers, and ecosystem partners.
- Develop and maintain a qualified opportunity pipeline and work with DDN regional sales teams to accelerate strategic opportunities.
- Provide market intelligence on competitive activity, emerging technologies, and ecosystem trends.
- Represent DDN at industry events, executive forums, and partner engagements.
Required Qualifications
- 10+ years of experience in business development, strategic partnerships, alliances, or enterprise technology sales.
- Proven track record influencing large, complex technology opportunities and building executive relationships across partner ecosystems.
- Strong understanding of AI infrastructure, GPUs, cloud platforms, and data infrastructure markets.
- Exceptional communication, presentation, and relationship-building skills.
- Ability to work collaboratively across matrixed organizations without direct account ownership responsibilities.
Preferred Qualifications
- Experience working directly with NVIDIA, hyperscalers, AI-native companies, NeoCloud providers, or government AI initiatives.
- Experience developing joint go-to-market strategies and ecosystem partnerships.
- Bachelor's degree or equivalent experience.
What Success Looks Like
- Identifies high-value AI infrastructure opportunities before competitors.
- Builds trusted relationships across NVIDIA and strategic ecosystem partners.
- Connects regional sales teams to strategic opportunities and helps shape winning strategies.
- Influences deal outcomes through relationships, market intelligence, and executive engagement.
EMEA Strategic AI Ecosystem & NVIDIA Business Development Lead in London employer: DDN
At DDN, we pride ourselves on being an excellent employer by fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from continuous growth opportunities in a fast-evolving technology environment, where they can contribute to groundbreaking storage solutions that empower various sectors. Located in a vibrant tech hub, we offer a unique chance to engage with cutting-edge AI technologies while building meaningful relationships with clients.
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We think this is how you could land EMEA Strategic AI Ecosystem & NVIDIA Business Development Lead in London
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We think you need these skills to ace EMEA Strategic AI Ecosystem & NVIDIA Business Development Lead 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 DDN, 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 DDN
✨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 DDN’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.
