Vice President, Data Architecture and Engineering

🕒 May 27

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Kohl's

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1962

💄 Beauty

⚕️ Healthcare Insurance

🧘 Wellness

Beauty • Healthcare Insurance • Wellness

Kohl's is a skincare solution brand that emphasizes science in its product development. It focuses on creating effective skincare products that are formulated with proven ingredients and cutting-edge technology, like QuSome®, to enhance and rejuvenate the skin. Committed to addressing a variety of skin issues, Kohl's offers targeted treatments designed to achieve healthy and beautiful skin while ensuring high standards of effectiveness with no unnecessary extras.

📋 Description

• Define and own the data product and technical data science strategy, aligning with enterprise technology and business priorities • Lead the design, development, and lifecycle management of data products that support business operations, customer insights, and innovation • Build and scale data science capabilities, including machine learning, AI-driven solutions, and advanced analytics to optimize retail operations and customer engagement • Partner with business units, analytics, engineering, and product management to prioritize high-value use cases for both data products and data science applications • Oversee data governance, stewardship, and metadata management to ensure accuracy, compliance, and trust • Champion modern data and AI architectures, including cloud-native platforms, APIs, data streaming services, and real-time analytics • Drive data democratization, ensuring business users can easily discover, access, and leverage insights • Foster a product mindset and a research-to-production pipeline for data science solutions, ensuring scalability and usability • Manage, mentor, and grow a high-performing team of data product managers, architects, engineers, and data scientists • Define and monitor KPIs for both data products and data science initiatives, ensuring outcomes translate into tangible business impact • Represent data strategy at the executive level, influencing enterprise decisions and advocating for innovation

🎯 Requirements

• 12+ years of experience in data leadership roles, including data product management, data platforms, and data science • Proven track record of building and scaling data products and machine learning/AI solutions in large, complex organizations • Strong expertise in modern data and AI/ML architectures, including cloud platforms (AWS, GCP, or Azure), data lakes/warehouses, and governance frameworks • Exceptional executive communication and stakeholder management skills, with the ability to influence across business and technology functions • Demonstrated success in leading cross-functional teams spanning data science, engineering, and product management

🏖️ Benefits

• Kohl’s is committed to creating a healthy and safe workplace for our associates