Kohler Co. · 15 hours ago
Sr. Manager-Enterprise Data & AI
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. This role will be instrumental in accelerating AI adoption and enabling intelligent automation to drive business transformation.
Consumer Goods
Responsibilities
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
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
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
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
Qualification
Required
Bachelor's or Master's in Computer Science, Data Science, Engineering, or related field
10+ years in data and analytics, with 5+ years in leadership roles
Proven experience deploying AI/ML solutions at scale, including GenAI and Agentic AI
Expertise in cloud-native data platforms (Azure, Databricks), MLOps, and data governance
Strong understanding of enterprise IT, digital product development, and platform delivery
Applicants must be authorized to work in the US without requiring sponsorship now or in the future
Preferred
Experience with Azure Analytics, Power BI, Python, and LLM-based architectures
Familiarity with Kohler's digital ecosystem, especially within K&B Americas
Certifications in Azure AI, Data Engineering, or related technologies
Benefits
Day 1 benefits
Competitive total rewards package
Access to career growth and development opportunities
A diverse and inclusive workplace
A strong culture of innovation
Company
Kohler Co.
We’re a community of creators. Status quo busters. Difference makers.
Funding
Current Stage
Late StageLeadership Team
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