At a Glance
- Tasks: Lead the go-to-market strategy for Data across EMEA, driving analytics and AI initiatives.
- Company: Join Amazon, a leader in cloud technology and innovation.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: High autonomy role with significant impact on large-scale data transformations.
- Why this job: Shape the future of data and AI while leading a dynamic, multi-geography team.
- Qualifications: Experience in Go-To-Market strategies and leadership in tech environments.
The predicted salary is between 81000 - 99000 £ per year.
Data is the foundation of the AI era - every generative AI outcome, modernization journey, and analytics-driven decision rests on how well customers store, govern, and activate their data. As the GTM Specialist EMEA Data Leader, you will own the end-to-end go-to-market strategy for the Data domain across EMEA - a large business spanning Database, Storage, and Analytics - and define how Europe's most ambitious organizations turn fragmented data estates into unified platforms that power analytics and AI.
Reporting to the EMEA Specialists Leader, you own the multi-year strategy for the domain, hold P&L-like accountability for goals, KPIs, and resource allocation, and serve as a primary interface to AWS service teams working with the WW domain teams to channel competitive and customer intelligence that shapes global roadmaps. This is a matrixed leadership role: you will drive outcomes in engagement with Sales, Solutions Architecture, Business Development, Partners, and Marketing, aligning and influencing beyond your team to deliver results at scale.
You must lead in a fast-moving space with our teams shipping rapidly across databases, analytics, storage, and the data foundation for GenAI, and the competitive landscape shifts constantly. This leader operates with speed and conviction - making high-judgment calls with incomplete information, building markets as the "first in", and course-correcting quickly - while building and scaling a world-class, geographically distributed GTM organization. This is an important leadership role demanding high autonomy and high accountability in a complex, matrixed environment.
Key job responsibilities
- Own and grow the Database, Storage, and Analytics domain business; define the multi-year EMEA strategy, set goals and KPIs, and build the mechanisms that scale (pipeline cadences, co-sell motions, funding frameworks, business reviews)
- Deploy specialist capacity where the opportunity is greatest, positioning the data estate as the foundation for customers' analytics and generative AI ambitions
- Build, coach, and retain a multi-geography team of senior GTM specialists; develop the next generation of leaders and set the performance bar for org health and engagement
- Lead across a matrixed field organization - aligning Sales, Solutions Architecture, Business Development, Partners, and Marketing teams to deliver shared domain outcomes
- Own CxO-level relationships (CIO, CDO, CTO) and sponsor the region's most complex data programs - large-scale database migrations and re-platforming, data lake and warehouse modernization, enterprise analytics transformations
- Own executive relationships with GSIs, SIs, and ISVs, driving partner-led growth and accelerating customer time-to-value
- As a primary interface to AWS service teams, surface customer insights and adoption barriers that shape roadmaps; represent AWS at executive forums and industry events (AWS re:Invent, AWS Summit, analyst and press meetings)
Basic Qualifications
- Bachelor's degree or equivalent
- Experience building and leading large teams and have worked in matrixed operating structures
- Experience in Go-To-Market, Business Development, Sales, or Consulting
- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- Experience working and communicating with multiple stakeholders, C-level executives and cross functional teams or equivalent
- Experience in strategic thinking about business, enterprise software products, and new technology platforms and architectures or equivalent
Preferred Qualifications
- Experience managing and developing high performance teams
- Multi-cultural leadership across European markets; prior experience at AWS or another cloud provider in a GTM or technical leadership role
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 your Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.
Veterans, military spouses, and people with disabilities are encouraged to apply.
EMEA Data Specialist Leader, EMEA WWSO GTM Specialists in London employer: Amazon Web Services, Inc.
At AWS EMEA SARL (UK Branch), we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to drive innovation in the energy sector. As an Enterprise Account Manager, you'll have access to extensive growth opportunities, working alongside industry leaders and technical experts to shape transformative cloud solutions. Our commitment to diversity and employee well-being ensures a supportive environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land EMEA Data Specialist Leader, EMEA WWSO GTM Specialists in London
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We think you need these skills to ace EMEA Data Specialist Leader, EMEA WWSO GTM Specialists in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Amazon Web Services, Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
