Senior Data & GenAI Advisory Consultant

Overview

The Amazon Web Services Professional Services (ProServe) team is seeking a Senior Data & GenAI Advisory Consultant to shape and transform how enterprises leverage cloud technology. This strategic role will influence leaders across industries, market segments, and technical domains to drive transformative business outcomes. As a senior-level advisor, you will be responsible for identifying patterns across customers, developing new architectural patterns, and creating innovative capabilities that define the future of cloud adoption.

Possessing a deep understanding of AWS products and services, as a Senior Data & GenAI Advisory Consultant you will drive innovation and influence executive-level stakeholders across multiple organizations. You’ll work closely with stakeholders as trusted advisors providing guidance on industry trends, enterprise cloud transformation, and innovative cloud solutions. You will be responsible for sales support, ensuring alignment to customer business outcomes and value realization.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Key Job Responsibilities

• Developing and delivering comprehensive business case analyses that demonstrate expected customer ROI, solution guidance, and implementation pathways for strategic cloud initiatives.
• Leading cloud operations transformations, in one or more of the following domains, Supply Chain, Warehouse Automation, FinOps, MarTech and Commerce, and cloud operations.
• Driving enterprise transformations leveraging cloud and emerging technologies through program management, value realization strategies, and cloud strategy development.
• Spearheading data and AI transformations, with a focus on Generative AI advisory for delivery, user adoption, operations transformation, and AI governance.
• Orchestrating large-scale cloud migration and modernization plans, aligning application portfolios with business priorities and architecting data center exit strategies.
• Cultivating strategic relationships with C-suite executives and key stakeholders to become a trusted advisor on cloud transformation initiatives.
• Drive strategic sales opportunities from inception to closure at the executive level.
• Create scalable mechanisms and lead new initiatives that transform how customers adopt cloud technologies.

A Day in the Life

Advisory Team partners with our customers to increase their shareholder value and assist in disrupting their business models. We enable our customers to drive competitive advantage by enhancing their digital capabilities that will enable them to innovate on new products and services.

Our key focus areas include: Cloud Strategy and Business Value Alignment (Enterprise Transformation), Cloud Operating Models & Governance, Cloud Migration Readiness and Planning, Organizational Change & Enablement, Data & AI Transformation, Supply Chain.

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 below, 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 (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 experience in cloud transformation implementation.
• Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience.
• 5+ years of experience in management consulting or internal technology advisory roles, with minimum 2 completed projects in any of the following industries: Media & Sports, Manufacturing, Energy, or Retail/CPG, Digital Native.
• 3+ years experience in enterprise cloud transformation initiatives involving C-suite executives with at least 2 projects from the following industries: Media & Sports, Manufacturing, Energy, or Retail/CPG, Digital Native.
• 5+ years experience in one or more of the following areas: Supply Chain, Warehouse Automation, MarTech and Commerce, Data & AI Strategy, including Generative AI implementation strategies, FinOps and Cloud Financial Management.

Preferred Qualifications

• AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, Connect, RDS, Amazon Q).
• AWS Professional level certifications (e.g., AWS Certified AI Practitioner, Machine Learning, Solutions Architect).
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
• Experience with emerging technologies such as GenAI and Agentic AI applications in industry-specific contexts.
• Strong financial modeling and market research skills, with the ability to conduct operational impact assessments.

Key skills/competency

• Cloud Transformation
• Generative AI
• Data Strategy
• AWS Services
• Advisory Consulting
• Business Case Analysis
• Executive Engagement
• Program Management
• FinOps
• Cloud Migration