Enterprise Data Architect

November 5

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Logo of Abercrombie & Fitch Co.

Abercrombie & Fitch Co.

Retail • Fashion • B2C

Abercrombie & Fitch Co. is a leading global omnichannel specialty retailer offering apparel and accessories for men, women, and kids. The company's brands, including Abercrombie & Fitch, YPB, abercrombie kids, Hollister, and Gilly Hicks, focus on providing high-quality, comfortable products that enable consumers worldwide to express their individuality and style. Abercrombie & Fitch Co. places a strong emphasis on digital transformation, sustainability, inclusion, and diversity. The company has been recognized as a great place to work for LGBTQ+ equality and is committed to community partnerships and global giving.

10,000+ employees

Founded 1892

🛒 Retail

👗 Fashion

👥 B2C

📋 Description

• In partnership with Data Strategy teams, determine the business and technical capabilities needed to align strategies with execution. • Own and author data capability maps aligned with business functions. • Translate business needs into domain-aligned data models • Act as a Strategic Though Partner and Enabler of AI/ML initiatives • Advise business and technology leaders on AI-readiness of systems and platforms, bridging gaps between operational data systems, cloud platforms, and AI/ML deployment environments. • Identify opportunities for data reuse, integration, and optimization to drive necessary change. • Champion the development of data products that bridge the gap between engineering and business teams. • Define data architecture and analytics capabilities to enable real-time visibility, predictive modeling, and data-driven decision-making. • Leverage data to identify trends, risks, and opportunities for process improvement and innovation. • Serve as subject matter expert and a leader inside our AICoE and CCoE • Model the Enterprise Data Architecture, its components and connections, references • Deliver AI/data ready solutions from trusted data sources and high-quality at scale • Identify and inventory enterprise data sources, lakes, and warehouses. • Enable and architect the data flows/structures that support performant reporting and dashboarding via PowerBi and other reporting tools. • Evaluate new technologies and frameworks that improve data agility and insight generation. • Champion the vision and priorities of Data teams across the enterprise. • Become a trusted partner within our data teams, tech services, and business units to understand data needs, and recommend strategic efforts to drive the teams forward. • Collaborate with senior executives, business stakeholders, and cross-functional teams to understand business objectives, goals, and requirements. • Translate business strategies into technology solutions and create roadmaps for implementing architectural changes and improvements. • Collaborate deeply with data teams, product owners, marketing, supply chain, and digital commerce leaders to co-create AI use cases that drive tangible business value. • Collaborate with analytics, AI/ML, and business intelligence teams to ensure data is usable and trusted. • Act as a bridge between enterprise architecture and data & analytics teams advocating for data standards during designs. • Collaborate with technology teams and external partners to ensure seamless integration with systems/processes. • Identify opportunities for data sharing, interoperability, and real-time visibility, including suppliers, manufacturers, logistics providers, and retail stores. • Research and assess emerging technologies, solutions, and tools that can enhance business goals. • Evaluate vendor offerings and make recommendations for technology adoption, considering factors such as scalability, interoperability, security, and cost-effectiveness. • Advise on steps to achieve modernization goals and ensure adherence to A&F architectural standards. • Provide architectural guidance and oversight throughout the project lifecycle, from requirements gathering and design to implementation and post-deployment support. • Implement AI-First Governance and Security Frameworks • Define and help implement data classification, lineage, and stewardship practices directly with Data & Analytics teams to ensure effective data management and governance. • Proactively support the use of observability tools for data (SLAs, freshness, quality) to ensure optimal performance and reliability. • Facilitate alignment on data standards, classifications, and consumption models. • Partner with information security teams on best practices ensuring that data is safe and secure. • Work to continually improve real time metadata management and dynamic lineage via tools and practices • Champion data governance, privacy, and compliance (GDPR, CCPA, PCI), ensuring alignment with internal policies and external regulations. • Provide architectural guidance (via standards) on how and where to consume data from enterprise platforms. • Create reusable patterns for integrating core systems and their data. • Ensure scalability, performance, and security of data solutions. • Create and maintain architectural artifacts, including data flow diagrams, reference architectures, and standards. • Educate stakeholders on data architecture principles and best practices. • Develop, train, and mentor other architects both through project work and/or POC (Proof of Concept) work. This includes regular technical updates to the team, informal and formal training sessions, and 1-1 coaching. • Serve as an advanced technical leader and as such, a role model both technically and behaviorally

🎯 Requirements

• Bachelor’s degree in Computer Science or related field; advanced degree preferred, or combination of relevant skills and experience • 10+ years of experience in technical leadership within large-scale organizations (retail experience preferred). • Proven expertise in enterprise data architecture, ideally in cross-functional or federated environments. • Strong understanding of data modeling, metadata management, and data integration. • Experience with modern data platforms (Snowflake, Databricks), cloud providers (AWS, Azure, GCP), and streaming technologies (Kafka, Spark). • Practical experience designing production-ready cloud platforms and implementing AI/ML models at scale • Demonstrable experience with data governance tools, semantic models and frameworks. • Excellent communication, stakeholder management, and change leadership skills. • Ability to translate complex technical concepts into actionable business value. • Experience with integration technologies and standards (API, EDI, Streaming). • Familiarity with CI/CD practices, containerization, and agile/DevOps methodologies. • Strong knowledge of retail industry trends, challenges, and best practices. • Familiarity with Generative and Agentic AI components and protocols: SML, LLM, MCP, A2B, ACP

🏖️ Benefits

• Incentive bonus program • 401(K) savings plan with company match • Annual companywide review process • Flexible spending accounts • Medical, dental and vision insurance • Life and disability insurance • Associate assistance program • Paid parental and adoption leave • Access to fertility and adoption benefits through Carrot • Access to mental health and wellness app, Headspace • Paid Caregiver Leave • Mobile Stipend • Paid time off and one paid volunteer day per year, allowing you to give back to your community • Work from anywhere (Mondays and Fridays are “work from anywhere” days for most roles and six work from anywhere weeks per year) • Seven associate wellness half days per year • Merchandise discount on all of our brands • Opportunities for career advancement, we believe in promoting from within • Access to multiple Associate Resource Groups • Global team of people who will celebrate you for being YOU!

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