About this role

Lead the design and deployment of the enterprise AI strategy
Establish the framework for ethical AI
Develop a "Value Realization" framework
Lead the rollout of "AI Copilots" and natural-language querying tools
Direct the data science team in building ML models
Ensure all models are monitored for "drift"
Ensure consistent KPI definitions across global business units
Transition the organization from "request-and-build" static reports to dynamic, self-service environments using Power BI/Qlik
Oversee the architecture and cost-optimization of the Snowflake Data Cloud
Direct the use of dbt, Talend, and orchestration tools
Act as a primary evangelist for data literacy
Coach a multidisciplinary team of Data Engineers, BI Developers, and Data Scientists

12+ years of experience in Data, Analytics, or Technology
at least 5 years in a leadership role
Demonstrated success leading enterprise AI/ML initiatives
Deep understanding of Generative AI
Strong architectural mindset
Expertise in cloud ecosystems (Azure or AWS)
Proven ability to influence senior leaders
Experience integrating enterprise platforms (e.g., Oracle ERP, Salesforce)
Familiarity with modern data ecosystems including Snowflake, dbt, Talend, and BI tools
Understanding of data fabric principles and enterprise data architecture strategies
Experience embedding AI into business workflows and operational systems
Preferred Experience in manufacturing, supply chain, or related industries
Strong financial acumen

Director, Business Reporting, Advanced Analytics – AI

Key skills