A

Amazon

Sells products online and rents cloud computing

Principal AI Transformation Specialist - Amazon Quick, Customer Success Center of Excellence

Customer SuccessPosted on Nov 6
Full-timeIn-person

About the Job

Requirements

  • Experience leading large enterprise transformations with AWS or cloud services.
  • At least 10 years of experience in senior customer-facing roles, including customer success management, strategic consulting, or business transformation advisory, with direct accountability for enterprise customer outcomes.
  • At least 15 years leading complex, large-scale business transformation or organizational change programs with significant technology enablement components in enterprise contexts.
  • Deep expertise in enterprise business execution and process transformation, including direct experience advising organizations through significant operational reinvention initiatives, not just technology implementations.
  • L300+ understanding of Amazon Quick capabilities, including AI-powered search, research agents, custom agents, workflows, and knowledge management, and the AWS generative AI platform, including Amazon Bedrock, SageMaker, foundational models, and retrieval-augmented generation architectures, with the ability to explain technical capabilities in business-value terms to executive audiences.
  • Demonstrated experience leading enterprise change management initiatives involving AI or automation adoption, including organizational capability building and adoption measurement.

Responsibilities

  • Design and lead comprehensive business execution transformation strategies for enterprise customers adopting Amazon Quick and AWS generative AI services, addressing process redesign, organizational capabilities, change management, and value realization through integrated frameworks and executive alignment.
  • Build repeatable transformation methodologies, maturity models, and assessment frameworks that enable AWS and partners to guide customers from AI experimentation to systematic business process reinvention at scale.
  • Synthesize learnings from customer engagements into documented playbooks, best practices, and success patterns that inform AWS product roadmaps and go-to-market strategy.
  • Co-develop transformation offerings with strategic consulting partners, including global systems integrators, systems integrators, and boutique AI consultancies, and support the partner-led organization in creating enablement programs, including training, certification, and delivery toolkits, to scale high-quality customer success delivery through the partner ecosystem.
  • Monitor customer transformation health and proactively address adoption barriers while driving measurable business value realization, including productivity gains, cost reduction, and decision quality improvement, through structured success planning and executive business reviews.
  • Develop point-of-view content, maturity models, and best practices for AI-powered business execution transformation to establish AWS intellectual leadership.
  • Influence the Amazon Quick product roadmap through synthesized customer insights and represent AWS as an expert at industry forums and executive events.

Desired Qualifications

  • AWS certification, such as AWS Solutions Architect, or a similar cloud certification.
  • A proven track record developing and scaling customer success programs or transformation methodologies, including creating original frameworks adopted broadly by large teams or partner organizations.
  • At least five years of direct experience in business operations transformation, process optimization, or enterprise productivity initiatives at scale, with measurable outcomes achieved.
  • Demonstrated ability to influence C-suite and vice-president-level stakeholders on business strategy and operational transformation, not just technology decisions.
  • Deep understanding of AI and machine learning capabilities for business operations, including knowledge management, research and analysis, decision support, workflow automation, and agentic AI for autonomous task execution.
  • Demonstrated ability to synthesize complex customer insights into actionable strategic frameworks with broad applicability across industries.
  • Hands-on experience with Amazon Quick, AWS AI and machine learning services such as Amazon Bedrock and SageMaker, or comparable enterprise AI platforms in customer-facing delivery contexts.
  • Understanding of enterprise data architectures, governance frameworks, and integration patterns required for AI-powered business operations.
  • PMP, Scrum, Agile, or SAFe certification, with a demonstrated track record driving measurable business outcomes, including productivity improvement, cost reduction, and decision quality, in enterprise transformation initiatives.
  • Experience designing large-scale organizational change management programs, including communication, training, and adoption measurement systems.
  • Experience building partner ecosystems and enablement programs, including co-developing transformation methodologies with strategic consulting partners.
  • Published thought leadership in business transformation, AI adoption, or enterprise productivity, with a track record of influencing product roadmaps through customer insight synthesis.

About the Company

Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1994

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