This GenAI and Data Specialist position is part of the AWS Specialist and Partner Organization (ASP) focusing on Global Financial Services (GFS) 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 GFS 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 financial services industry experience, enterprise data strategy and architecture background, fluency in GenAI 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 financial services 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 Global Financial Services to build their enterprise GenAI 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 financial services customers to understand how they are thinking of integrating GenAI 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 GenAI & infrastructure deployment requirements involved in scaling GenAI model training across modalities and use-cases that take advantage of the power of AWS’ storage, compute, networking, and GenAI technologies.
As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with c-level stakeholders and VPs/ Directors in Line of Business as well as in Development and Engineering. You have domain expertise in Generative AI and key ML powered use cases. You have the technical depth to articulate the benefits of Amazon Bedrock, SageMaker AI, Frontier Agents, and other GenAI related services and solutions to data scientists, and C-Level executives. In addition, you have a good understanding of the GenAI market trends, ecosystem, opportunities, and are passionate about market development and evangelism. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, and professional services) and externally with customers and model providers.
This role is responsible for driving revenue, adoption, and innovation partnering with the largest and most strategic customers in Global Financial Services. We work backwards from our customer’s most complex and business critical problems to build and execute go-to- market plans that turn AWS ideas into multi-billion-dollar businesses. ASP teams include business development, specialist and technical solutions architecture.
Position may require the ability to travel 25% of the time, as needed.
Key job responsibilities
Develop and execute GTM strategies that accelerate adoption of GenAI services and open data structure on AWS
Identify and scale repeatable customer engagement models, enterprise architectural ready GTM assets, and data modernization strategies that drive adoption of AWS data services
Partner across AWS data, storage, analytics specialist, and partner organizations to define and operationalize best practices for interoperable and hybrid data architectures
Build scalable field enablement, positioning, and guidance for GenAI architecture strategies and multi-model approach with scalable and cost performant deployment patterns
Analyze customer adoption trends, competitive dynamics, and market signals to identify growth opportunities and influence GTM priorities
About the team
About AWS
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:
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- 6+ years of solving problems with technology in the Global Financial Services Industry experience
- Experience coordinating and leading large-scale Digital or Global IT Transformation initiatives
Preferred Qualifications:
- Bachelor's degree in business economics, engineering, analytics, mathematics, statistics, information technology or equivalent
- 6+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- 6+ years of developing, negotiating and executing business agreements experience
- 4+ years of solving problems with technology in the Global Financial Services Industry experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NJ, Jersey City - 162,700.00 - 220,200.00 USD annually
USA, NY, New York - 162,700.00 - 220,200.00 USD annually
USA, TX, Dallas - 147,900.00 - 200,100.00 USD annually
