Vice President, Artificial Intelligence and Transformation (Remote)
Company: Kohl's
Location: Menomonee Falls
Posted on: March 10, 2026
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Job Description:
About the Role The VP, Data Architecture and Engineering is
accountable for the vision, strategy, and execution of the
enterprise data platform and engineering capabilities that enable
business growth, operational efficiency, and customer centric
innovation. This leader partners closely with business and
technology teams to elevate data into a durable and scalable
enterprise asset. In alignment with the VP of A.I and
Transformation, who defines enterprise A.I strategy and prioritizes
business use cases, this role owns the data architecture,
platforms, and engineering foundations required to operationalize,
scale, and reliably run A.I solutions in production across the
enterprise. What You’ll Do 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 Additional tasks may be assigned What
Skills You Have Required 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
Keywords: Kohl's, Elgin , Vice President, Artificial Intelligence and Transformation (Remote), IT / Software / Systems , Menomonee Falls, Illinois