Principal Enterprise Architecture

Job Description: Principal Enterprise Architecture- OMNI ( Consultant)
Job Profile Summary

• As a senior leader within the Enterprise Architecture Group under the CTO Organization, the Principal Enterprise Architect Connected Commerce / OMNI-Channel & AI will drive the vision, design, and execution of an integrated technology architecture that powers seamless, intelligent, and personalized customer experiences across all digital and physical touchpoints.
• This role spans strategic domains Digital, Retail Stores, Supply Chain, Customer Data, eCommerce, Marketing, and Fulfillment and serves as a critical change agent, enabling Connected and Agentic Commerce. The architect will influence enterprise-wide technology modernization, blueprints, and AI-driven commerce initiatives to unlock growth, improve customer satisfaction, and drive operational efficiency.
• This position plays a pivotal role in integrating AI-powered decisioning, personalization, and commerce agents into the technology landscape to support proactive, autonomous, and context-aware experiences.

Key Responsibilities

• Architect future-ready, omnichannel commerce platforms supporting unified experiences such as BOPIS, Same-day Delivery, and Endless Aisle.
• Design intelligent, AI-augmented experiences that integrate predictive personalization, dynamic pricing, virtual styling, conversational commerce, and autonomous checkout journeys.
• Champion the use of Agentic Commerce patterns autonomous shopping agents, proactive assistant bots, and AI-driven fulfillment orchestration to create frictionless, next-gen shopping experiences.
• Integrate commerce ecosystems with real-time decision engines, customer data platforms (CDPs), recommendation systems, and AI models to drive adaptive journeys.
• Partner with product, engineering, and data science teams to implement AI across the customer lifecycle from acquisition and engagement to loyalty and retention.
• Define architectural principles to scale AI/ML use cases, leveraging cloud-native platforms (Google Cloud Platform, AWS), serverless models, and data mesh strategies.
• Ensure architecture enables real-time signals processing (e.g., clickstream, IoT, POS), contextual understanding, and action-triggering across commerce surfaces.
• Lead architectural reviews and governance for AI-based and connected commerce projects.
• Guide experimentation with GenAI, LLMs, and autonomous agents in commerce, marketing, and fulfillment use cases.
• Collaborate with data, privacy, and compliance teams to align AI-powered experiences with data governance and ethical AI frameworks.

Required Qualifications

• Bachelor s degree in computer science, Engineering, or related field; Master s preferred.
• 10+ years of architecture leadership, with at least 5+ years in commerce or omnichannel transformation roles.

Demonstrated experience architecting and delivering commerce platforms across:

• Headless eCommerce (Shopify, Salesforce Commerce, etc.)
• Digital Experience Platforms (CMS, DAM, PIM)
• Customer Data Platforms (CDPs), Loyalty & Personalization Engines
• Retail POS, OMS, and Fulfillment Systems
• Deep knowledge of cloud-native architectures, microservices, event-driven systems (Kafka, Google Cloud Platform Pub/Sub), and serverless patterns.
• Experience integrating AI/ML services into customer-facing applications, preferably in real-time or large-scale environments.

Preferred Qualifications

• Experience with Agentic AI frameworks or commerce focused LLMs.
• Familiarity with AI platforms like Vertex AI, Amazon Bedrock, Azure OpenAI, or similar.
• Working knowledge of data pipelines, model deployment (MLOps), and experimentation platforms.
• Exposure to composable commerce and MACH (Microservices, API-first, Cloud-native, Headless) architecture.
• Retail, CPG, or DTC brand experience with personalization and omnichannel engagement initiatives.

Core Competencies

• Strategic mindset with a strong grasp of emerging tech and its impact on business.
• Excellent communication and storytelling skills especially around complex AI and tech-driven business value.
• Ability to balance short-term business needs with long-term enterprise architecture vision.
• Highly collaborative with a passion for innovation, experimentation, and user-centered design.
• Comfortable driving clarity and structure in ambiguous and fast-moving environments.