Principal Enterprise Architect - Data & AI

About the Role

As Principal Enterprise Architect – Data & AI, you will lead the architectural strategy, solution design, and roadmap execution across our enterprise Data & AI Domain. As a key member of this team, you will design, develop, and guide the implementation of cutting-edge data-driven AI solutions that power many of our initiatives that have touch points with Product-to-Market, Omni-channel and Loyalty programs. We welcome passionate individuals ready to drive strategic impact and innovation through intelligent, data-driven solutions.

What You'll Do

• Develop end-to-end solution architectures for data-driven and AI-focused applications, ensuring alignment with business objectives and technology strategy.

• Lead architecture design efforts across data pipelines, machine learning models, AI applications, and analytics platforms in our Gap Data Platform area.

• Collaborate closely with business partners, product managers, data scientists, software engineers, and the broader Global Technology Solutions teams in vetting solution design and delivering business value.

• Provide technical leadership and mentoring in data engineering and AI best practices.

• Evaluate and recommend emerging data technologies, AI techniques, and cloud services to enhance business capabilities.

• Ensure the scalability, performance, and security of data and AI architectures.

• Establish and maintain architectural standards, including patterns and guidelines for data and AI projects.

• Create architecture artifacts(concept, system, data architecture)  for data and AI projects/initiatives.

• Create and oversee architecture center of excellence for data and AI area to coach and mentor resources working in this area.

Who You Are

• Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or related discipline.

• Minimum of 7 years of professional experience in technology, including at least 3 years in a data architecture and AI solution architect role.

• Strong expertise in cloud platforms, preferably Azure and GCP, and associated data and AI services.

• Proven experience in architecting and deploying scalable data solutions, including data lakes, warehouses, and streaming platforms.

• Working knowledge of tools/technologies like Azure Data Factory, Confluent Kafka, Spark, Databricks, BigQuery and Vertex AI.

• Deep understanding of AI/ML frameworks and tools such as TensorFlow, PyTorch, Spark ML, or Azure ML.

• Proficiency with programming languages like Python, Java, or Scala.

• Solid understanding of data governance, security, privacy, and compliance standards.

• Exceptional communication, presentation, and stakeholder management skills.

• Experience working in agile project environments.