Vice President, Data Architecture and Engineering

Kohl's

Vice President of Data Architecture and Engineering at Kohl's overseeing enterprise data strategy and execution. Responsible for data architecture, platforms, and engineering for AI solutions.

Posted 5/27/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data product managementdata sciencemachine learningAI-driven solutionsadvanced analyticsdata governancemetadata managementdata democratizationKPI monitoringcloud-native architecture

Soft Skills

executive communicationstakeholder managementinfluencingteam managementmentoringcross-functional leadershipproduct mindsetresearch-to-production pipelinecollaborationstrategic alignment