Sr. Manager-Enterprise Data & AI

Created at: January 23, 2026 00:00

Company: KOHLER

Location: Kohler, WI, 53044

Job Description:

Opportunity
Kohler Co. is seeking a visionary and technically adept Senior Manager, Data & AI to lead the development and execution of data and AI strategies across Enterprise Functions (HR, Finance, Shared Services, IT & Legal) including the management of our enterprise data platforms. This role will be instrumental in accelerating AI adoption—including Agentic AI process efficiency, scaling enterprise data platforms, and enabling intelligent automation to drive business transformation.
Key Responsibilities 
Strategic Leadership 
Define and execute the Data & AI roadmap for Enterprise Functions across HR, Finance, Shared Services, IT & Legal in alignment with enterprise digital strategy. Partner with business leaders to identify high-value use cases and deliver AI-driven solutions with measurable ROI.  Champion the adoption of GenAI and Agentic AI to enhance operational efficiency, business insights, and decision-making. 
Agentic AI & Automation 
Lead the development and deployment of Agentic AI systems (e.g., HR cases, Finance postings, etc.) that autonomously resolve incidents, assist users, and orchestrate workflows. Collaborate with platform teams to integrate AI copilots into ServiceNow, Databricks, and Azure ecosystems. Ensure governance, observability, and cost optimization of AI workloads, including training data pipelines and model lifecycle management. 
Data Engineering & Platform Delivery 
Oversee the architecture and delivery of scalable data pipelines, lakehouses, and analytics platforms (e.g., Azure, Databricks). Ensure data quality, lineage, and compliance with enterprise standards and regulatory requirements. Drive self-service analytics and democratization of data across business units. 
Team & Program Management 
Lead and mentor a cross-functional team of data engineers, AI/ML specialists, and product owners. Manage project delivery using agile methodologies, ensuring timely execution and stakeholder alignment. Foster a culture of experimentation, automation, and continuous improvement. 


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