Senior Specialist, Global Data & AI Strategy

This is an IT support group
Singapore
SGD 60,000 - 80,000
Job description

As the industry lead for the Global Data & AI Strategy for the AI team within Amazon Web Services, you will have the exciting opportunity to help shape and deliver an overall data strategy to build mind share and broad use of Amazon’s cloud computing platform for Database, Analytics, AIML, and Generative AI. Your responsibilities will include helping to define key customers and industries to target, driving the necessary business and technical relationships with customers and partners to establish new business in those accounts and industries, and enabling the sales team to drive the day-to-day interactions with prospects in order to build long-term business opportunity. You’ll also work closely with the product/service teams to help them evolve the products/services and address issues, concerns, and requests from the field.

Key job responsibilities

  • Support the Global Data Strategy for AI team in driving AWS data strategy for customer data and AI transformations.
  • Provide technical expertise to identify cross-platform solutions for comprehensive use cases.
  • Assist in building cross-platform demos to showcase AWS capabilities.
  • Deliver Executive Briefing Center (EBC) thought leadership engagements across CxO/VP levels.
  • Collaborate with regional account teams and professional services to develop and support lighthouse customers utilizing AWS Data and AI platform services.
  • Engage with customer line of business decision makers and technical teams to influence AWS wins and accelerate customer business outcomes.
  • Work with service teams to ensure customer feedback is incorporated into product development.
  • Attend industry trade shows and marketing events to represent AWS and differentiate our value proposition.
  • Support internal teams to increase AWS data and AI revenue throughout the company.
  • Collaborate with other internal stakeholders to ensure cohesive messaging of AWS data and AI solutions.

A day in the life

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.

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 empowers us to be proud of our differences.

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.

About the team

Within WWSO, this position is a part of the Go-To-Market (GTM) Specialist team, where you will lead GTM strategy for AWS’ GenAI service line for APJ. We create sales plays, leverage partners, and build new initiatives that drive results for our customers.

Additional Qualifications

  • Experience interpreting data and making business recommendations
  • Experience in working in a matrixed organization
  • Understanding and experience in business initiatives requiring data driven solutions
  • Strong verbal and written communications skills, as well as leadership skills
  • Demonstrated ability to work effectively across internal and external organizations
  • Experience working with database technologies and large data sets
  • Proficiency in Python for data manipulation and analysis
  • Experience with Design Thinking/Working Backwards methodologies
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