At a Glance
- Tasks: Lead go-to-market strategies for GenAI in healthcare and life sciences.
- Company: Join AWS, a leader in cloud technology and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to shape the future of digital transformation.
- Why this job: Make a real impact by transforming healthcare with cutting-edge technology.
- Qualifications: Experience in healthcare, data strategy, and GenAI expertise required.
The predicted salary is between 72000 - 88000 £ per year.
Job ID: 10599080 | AWS EMEA SARL (UK Branch) The Gen AI Specialist is part of the AWS Specialist and Partner Organization (ASP) focusing on Healthcare and Life Sciences (HCLS) organizations.
ASP Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business impact and technical expertise to help our customers succeed and transform their businesses.
Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners.
Together they provide our HCLS customers with the expertise and scale needed to build innovative solutions for their most complex challenges.
Are you a customer-obsessed builder with a passion for helping customers achieve their full potential with digital transformation?
Do you have the healthcare and/or life sciences industry experience, enterprise data strategy and architecture background, fluency in Gen AI and agentic systems approach, and commercial mind with high impact executive engagement skills necessary to help position AWS as the cloud provider of choice for healthcare and life sciences customers?
Do you love building new strategic and data-driven businesses?
Join the Worldwide Specialist Organization (WWSO) Industries Team as a Sr.
Go-To-Market (GTM) Specialist focused on helping customers build their enterprise Gen AI and data strategy and scale the foundation and architectures on AWS.
You will have the opportunity to define go-to-market (GTM) strategy for Amazon Bedrock and lead cross-functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities.
In this role, you will work closely with customers to understand how they are thinking of integrating Gen AI as part of their technology and business transformation.
You will need to dive deep to understand and be entrusted as an advisor to enterprise strategy formation and how AWS can support Gen AI
Sr GenAI GTM Specialist, HCLS, AWS Specialist & Partner - Industries employer: Amazon Inc.
At Amazon Development Centre in Edinburgh, we are committed to fostering a collaborative and inclusive work culture that empowers our employees to innovate and excel. As an Applied Scientist in our Intelligent Talent Acquisition team, you will have the opportunity to work on cutting-edge machine learning technologies that directly impact recruitment processes, while benefiting from mentorship and professional growth opportunities. Join us to make a meaningful difference in how talent is acquired globally, all within a vibrant city known for its rich history and dynamic tech scene.
StudySmarter Expert Advice🤫
We think this is how you could land Sr GenAI GTM Specialist, HCLS, AWS Specialist & Partner - Industries
✨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 Inc.!
✨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 Sr GenAI GTM Specialist, HCLS, AWS Specialist & Partner - Industries
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 Inc., 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 Inc.
✨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 Inc.’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.
