Principal Data & AI Transformation Lead

Amazon; Austin (TX); On-site; USD 183,000 - 247,000; Full time

Job summary

Amazon Web Services (AWS) is seeking a Principal Delivery Consultant to lead data and AI/ML transformation programs within Global Financial Services (GFS). You will define the technical vision across multiple streams, guiding architecture, governance, and delivery for enterprise-scale cloud modernization.

You will counsel senior executives on major technology choices, balance time-to-value with architecture standards, and drive delivery across AWS, partners, and customer teams to maximize

Qualifications

• Bachelor's degree in Computer Science, Math, or a related field.
• 8+ years of experience in enterprise technology architecture delivery, with at least 5 years influencing technical teams defining and governing technical architecture on complex transformation programs.
• Depth in one or more of AI/ML, enterprise architecture modernization, or data architecture and engineering.

Responsibilities

• Define and own the end-to-end technical architecture for large-scale GFS transformation programs, setting reference architectures, reusable patterns, and technical standards.
• Counsel executives on major technology choices (total cost of ownership, time-to-value, build vs. buy) and influence decisions across customer and partner teams.
• Drive alignment across teams, resolve architectural conflicts, adapt architecture mid-flight, and coach engineers across partner organizations.

Skills

AI/ML

Enterprise Architecture

Data Architecture

Leadership

Education

Bachelor's degree in Computer Science, Math, or a related field

Job description

Amazon Web Services (AWS) is seeking a Principal Delivery Consultant to lead data and AI/ML transformation programs within Global Financial Services (GFS). You will define the technical vision across multiple streams, guiding architecture, governance, and delivery for enterprise-scale cloud modernization.

You will counsel senior executives on major technology choices, balance time-to-value with architecture standards, and drive delivery across AWS, partners, and customer teams to maximize