Amazon Senior Worldwide Data & AI Strategist - 

United States, New York, New York 

198081332

As a Senior Worldwide Data/GenAI Strategist within the Data Strategy for AI team at AWS, you will play a pivotal role in shaping and executing data and AI strategies specifically focused on the Retail, Restaurant, and Consumer Goods (RRCG) sector. You'll help drive the adoption of AWS's comprehensive suite of Database, Analytics, AI/ML, and Generative AI solutions across major enterprises in these industries.Working at the intersection of technology and business, you'll collaborate closely with AWS product teams to influence roadmaps, ensure service offerings align with RRCG industry needs, and address critical customer requirements. Your insights and industry expertise will help shape the evolution of AWS's AI/ML services while establishing AWS as the preferred platform for AI transformation in the RRCG sector.Key job responsibilities
- Drive strategic initiatives for AWS's data and AI transformation across the RRCG (Retail, Restaurant, and Consumer Goods) sector, focusing on enterprise-scale implementations.- Develop industry frameworks and best practices for RRCG-specific AI/ML use cases, including inventory optimization, demand forecasting, and personalization.- Partner with AWS service teams to shape product roadmaps and ensure RRCG industry requirements are incorporated into development.- Lead Executive Briefing Center (EBC) engagements with C-suite and VP-level executives, articulating AWS's vision for AI transformation.- Analyze industry trends and competitive landscape to identify new opportunities and inform AWS's RRCG sector strategy.A day in the life- Review and contribute to technical proposals and solution architectures- Collaborate with product teams on RRCG industry requirements
- Develop and review thought leadership content
- Analyze industry trends and competitive intelligence- Maintain relationships with key stakeholders and executives
- Contribute to internal knowledge bases and best practices documentation
About the team
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?Inclusive Team CultureMentorship & 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

- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience developing strategies that influence leadership decisions at the organizational level
- 6+ years of consulting, presales, enterprise selling, and/or program/product management experience specifically supporting analytics and AI/ML initiatives
- Experience working with big data, business intelligence, generative AI, and other analytics technology is required
- Expertise around Industry data use cases and ability to translate LoB requirements to a technical solution.

- Bachelor's degree in Computer Science, Business, Engineering, or related field, or equivalent practical experience
- 10+ years of experience in technology strategy, enterprise architecture, or data/analytics leadership roles
- 5+ years of experience leading strategic initiatives in retail, restaurant, or consumer goods industries
- Experience implementing enterprise-scale AI/ML solutions
- Demonstrated track record of working directly with senior executives and stakeholders
- Experience developing and presenting business strategies and technical solutions
- Proficiency with modern data and AI architectures, including data lakes, data mesh, and machine learning platformsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.