Description

Most enterprise AI in ASEAN is failing in production. Not because the models are wrong, because the data foundation underneath them isn't there. The databases, analytics, storage, and governance that AI actually runs on are a decade of legacy debt in most of the region's biggest companies. That is the problem you get to solve.
You are a Strategic Data Seller for ASEAN's most strategic accounts. You own the full data conversation, analytics, storage, governance, and you connect it to the business and AI outcomes the customer is chasing. This is a consultative seller role, who brings point of view to earn trust and bring a path to close large opportunities. THey walk into a CIO or Chief Retail Officer and reframe how they think about their data estate, and that reframe is what creates the urgency and the budget. The right candidate has a blend of consultancy with a path to close.
You will spend your time across the whole arc: at the whiteboard, in the room with CXOs, and on the path to closure, have a BCAP partner amplifies your deals. You take the data conversation back, and architect the pathway for the customer to build their data foundations. Scope will be 5 to 10 customer across ASEAN with high complexity. This is a sales role and you carry a $M+ number.


Key job responsibilities
In this role, you will:
- Operate across the CXO level. Set the agenda in the room.
- Reframe the customer. Bring a point of view that changes how a CXO sees their data estate, tied to the business outcomes and AI use cases they actually care about. The POV opens the deals.
- Sell the full platform. Position AWS as the integrated foundation, operational databases through open lakehouse analytics and governance into AI. Not one product, the estate.
- Win the transformations. Drive data estates and migrations with consultative POV, use case positioning with urgency.
- Energised by whiteboard and debating session.
- Run the ecosystem - from the strategic thinking of BCaps to the deliver with GSIs.
- You own the number. Build and forecast a concentrated $M+ pipeline. Call it with conviction.

You experience will show:
- Have carried a quota for 10+ years and closed large, complex technology deals.
- Can whiteboard a modern data architecture and hold your own with an engineering team, level 200+.
- Have sold into ASEAN or a comparable multi country territory and know how procurement and regulation actually work here.
- Come from a data or analytics background.
- Know the Data + AI landscape.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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 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.