Enterprise Data Architect; Remote

We are seeking a highly skilled and collaborative Data Architect to join our Enterprise Architecture team. This role is pivotal in shaping how data is organized, governed, and utilized across the entire organization. The ideal candidate will possess a deep understanding of enterprise data ecosystems and be passionate about enabling data-driven decision-making through well-architected solutions. As an enterprise architect, you will play a crucial role in designing and optimizing systems and processes that directly contribute to business value.

The primary responsibility of the architect is to work within the A&F (Abercrombie & Fitch) Digital and Technology organization and business community to ensure systems are architected utilizing industry best practices and within the guidelines set forth by A&F.

Drive designs and patterns on multiple projects including our underlying data platforms and other projects that will meet enterprise requirements for scale and reliability while transforming the architecture to a modern footprint. Facilitate design sessions with architects and tech leaders to design solutions which meet enterprise standards.

Additionally, the architect will be responsible for understanding emerging technology architectures for data, cloud, AI, microservices, integration patterns, and Dev Ops pipelines to make recommendations for incorporating appropriate emerging architectures into future A&F roadmaps

• Enterprise Data Strategy & Road mapping
  • 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
  • Adopt and Adapt a Federated, Product-Centric Model to our ways of working
  • Participate in our architecture review process by presenting data centric topics for review and discussion.
  • 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 Power Bi and other reporting tools.
  • Evaluate new technologies and frameworks that improve data agility and insight generation.
• Cross-Functional Collaboration
  • 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.
• Data Governance & Compliance
  • Implement AI-First Governance and Security Frameworks
  • Define and help implement data…