Sr. Mgr., GTM Spec SA Data & AI UKI, EMEA GTM Data and AI Solutions Architecture (BJ-12759)

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Data and AI tech skills necessary to help position AWS as the best cloud provider of choice for their Data and AI initiatives? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) EMEA GTM Specialist team as a Sr. Manager for UKI Data and AI Specialists Solutions Architects!

The WWSO EMEA Data and AI Go-To-Market team helps customers adopt our newest and most advantageous technologies. We are technology specialists in the Data and AI domains. The EMEA Data and AI GTM team engages in the largest and most complex Data and AI opportunities to accelerate customers journey and help them scale. In this role, you will lead a team of talented Data and AI Specialist Solutions Architects that help customers adopt AWS' Storage, Database, Analytics and GenAI/ML technologies. You will hire and develop the best Data and AI technologists, work with the most strategic opportunities in the Data and AI domains, guide your team to scale tech knowledge via technical assets, products, programs, solutions and the AWS field. Additionally, you and the team will engage with Product teams to share customer feedback, regional priorities and contribute to product roadmap prioritization.

Location: Either UK London OR Netherlands Amsterdam

The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers, including public sector. We work backwards from our customers' most complex, business-critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include technical business development, specialist, and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire customer life cycle, from accelerating the adoption of established businesses to developing ideas for new services. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

Join the Worldwide Specialist Organization (WWSO) Data and AI EMEA GTM team as a Sr. Manager of Specialist Solutions Architects in UKI!

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.


Key job responsibilities
- Manage a team of SSAs for Data and AI
- Interact at the CxO/VP level, as well as developers and technical architects, to develop pipeline, secure lighthouse customers, drive top-line-revenue, and explore strategic partnerships.
- Develop and deploy sales motions and programs that leverage Field Sales teams, as well as technology and consulting partner channels.
- Collaborate with the Service and Technical teams to create solutions that solve customer problems, including reference architectures, patterns, automation, release plan.
- Collaborate with Marketing to develop and align digital marketing campaigns to drive awareness and demand.
- Technical Thought Leadership
- Hire, on-board, train, and develop new Specialist Solution Architects
- Educate customers on the value proposition of AWS, and participate in architectural discussions to ensure solutions are designed for successful deployment in the cloud
- Guide your team to find ways to scale tech knowledge via products, programs, and the AWS Field
- Capture and share best-practice knowledge amongst the AWS SA community
- Guide and motivate the development of whitepapers, datasheets, and other high-value customer facing guidance and best practices
- Become a trusted advisor within customer accounts to enable them to be "Cloud advocates"
- Act as a conduit and liaison between customers, service engineering teams and support

A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.Basic Qualifications
- Bachelor's degree.
- Experience in management of technical, enterprise customer facing resources or equivalent.
- Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.
- Experience in infrastructure architecture, database architecture and networking
- Experience design/implementation/consulting experience of distributed applications.
- Experience management of technical, customer facing resources.
- Experienced hands-on experience with AI/ML or related technology domain.
- Experience hands-on experience with building ML/data pipelines, data engineering, or similar technologies.
- Experience with Python to analyze datasets, train , evaluate, deploy, and optimize models.
Preferred Qualifications- History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises.
- Experience migrating or transforming legacy customer solutions to the cloud.
- Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers.
- Familiarity with common enterprise services and working knowledge of software development tools and methodologies
- AWS Solution Architecture certification or relevant cloud expertise.
- Demonstrated ability to adapt to new technologies and learn quickly.
- Computer Science /relevant degree and/or experience highly desired.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/content/en/how-we-hire/accommodations.