Principal AI & DTC Enterprise Architect (Remote)

Deckers Brands

Colorado

À distance

USD 155 000 - 209 000

Plein temps

Il y a 7 jours
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Avantages offerts par ce poste

Competitive compensation
Employee discounts
Growth and development opportunities

Résumé du poste

Deckers Brands seeks a Principal Enterprise Architect, AI and DTC Technology, to shape the architecture powering Deckers’ consumer platforms. You will define a composable DTC architecture and shared AI platform, balancing enterprise standards with innovation across brands and regions.

You will lead governance, roadmap creation, and modernization of legacy systems toward cloud-native, API-driven architectures, with a strong focus on responsible-AI, data governance, and scalability.

Qualifications

  • 8+ years of enterprise/solution architecture experience in retail/fashion/consumer goods.
  • 3+ years hands-on AI/ML solutions, incl. generative AI and LLMs.
  • Experience with MACH/composable commerce and API-driven cloud-native architectures.

Responsabilités

  • Develop enterprise-wide DTC and AI architecture vision aligned with business goals.
  • Define governance policies and AI review processes across brands/regions.
  • Create multiyear DTC/AI architecture roadmap with milestones, risks, and ownership.
  • Own target architecture for DTC landscape ensuring cross-platform data flow.

Connaissances

AI architecture
MACH/composable commerce
Cloud architecture
Multi-cloud AWS
Data governance
API integration
Leadership
Enterprise architecture

Formation

Bachelor's degree in CS/IT/Engineering

Outils

Boomi
ecommerce platforms
OMS/CDP/loyalty tooling

Description du poste

Deckers Brands seeks a Principal Enterprise Architect, AI and DTC Technology, to shape the architecture powering Deckers’ consumer platforms. You will define a composable DTC architecture and shared AI platform, balancing enterprise standards with innovation across brands and regions.

You will lead governance, roadmap creation, and modernization of legacy systems toward cloud-native, API-driven architectures, with a strong focus on responsible-AI, data governance, and scalability.

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