Sr. Manager-Enterprise Data & AI

About This Role

Lead the development and execution of data and AI strategies across Enterprise Functions for HR, Finance, Shared Services, IT, and Legal. The role focuses on accelerating AI adoption, scaling enterprise data platforms, and enabling intelligent automation to drive business transformation.

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 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

Requirements

• 10+ years in data and analytics
• 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

Qualifications

• 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

Nice to Have

• Experience with Azure Analytics, Power BI, Python, and LLM-based architectures
• Familiarity with Kohler’s digital ecosystem, especially within K&B Americas

Skills

* Required skills

Benefits

Certifications