VP, Data Architecture & AI Platforms

Kohl's; United States; Remote; USD 220,000 - 300,000; Full time

Job summary

Kohl’s is seeking a VP of Data Architecture and Engineering to lead the vision, strategy, and execution of the enterprise data platform and AI-enabled capabilities. This executive will partner with business and technology leaders to operationalize data, scale AI solutions, and drive data-driven decisions across the enterprise.

Responsibilities include owning the data product strategy, building data science capabilities, governing data assets, and mentoring a high-performing team across data

Qualifications

• 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 ML/AI solutions in large organizations.
• Strong expertise in modern data and AI 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.

Responsibilities

• 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 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.
• Additional tasks may be assigned

Skills

Data leadership

Data product scaling

ML/AI solutions

Cloud platforms

Executive communication

Cross-functional leadership

Job description

Kohl’s is seeking a VP of Data Architecture and Engineering to lead the vision, strategy, and execution of the enterprise data platform and AI-enabled capabilities. This executive will partner with business and technology leaders to operationalize data, scale AI solutions, and drive data-driven decisions across the enterprise.

Responsibilities include owning the data product strategy, building data science capabilities, governing data assets, and mentoring a high-performing team across data