Senior Manager-Enterprise Data & AI
Role details
Job location
Tech stack
Job description
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., 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 (eg, 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 (eg, 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.
Requirements
- 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.
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.