Director, Enterprise Data Platform and AI

Job Title: Director, Enterprise Data Platform and AI 

 

Job Summary: We are seeking a strategic and execution-focused Director of Enterprise Data Platform and AI, to lead the transformation of our enterprise data ecosystem. This role will own the vision, development, and scaling of a unified data platform that consolidates disparate data sources and enables seamless access to high-quality, actionable data across the organization. 

 As a critical partner to teams such as Consumer & Market Insights, Financial Insights, and other business functions, this leader will ensure data is structured, accessible, and actionable—while also driving the integration of AI capabilities into the platform. This role requires both strong technical depth and exceptional leadership skills to shape the team, influence stakeholders, and elevate how data is leveraged enterprise-wide to enable an insights-driven organization. 

 

What You’ll Do 

• Define and Lead Enterprise Data Platform Strategy: Set and execute the vision for a unified, scalable, and governed data platform that consolidates fragmented data sources into a single source of truth. 

• Drive Data Integration, Accessibility & Quality: Oversee end-to-end data ingestion, standardization, and delivery—ensuring data is accurate, well-governed, secure, and easily consumable across the organization. 

• Enable Enterprise-Wide Insights & AI Capabilities: Partner with Consumer/Market Insights, Financial Insights, and other teams to power decision-making, while leading the integration of AI and advanced analytics to unlock predictive and innovative use cases. 

• Foster Cross-Functional Alignment & Continuous Improvement: Collaborate with subsidiaries and stakeholders to drive consistent data practices, establish strong feedback loops, and continuously evolve the platform to meet enterprise needs. 

• Build, Structure & Scale a High-Performing Team: Assess and evolve the current organization, define operating models, and develop a high-impact team of data engineers and platform leaders to support long-term growth. 

 

What You’ll Bring 

Experience and Expertise:  

• Twelve+ (12+) years of relevant professional experience, plus five (5) years of management experience or a demonstrated equivalent level of expertise. 

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field 

• Deep Data Platform Expertise: 10+ years in data engineering, architecture, or platforms, with leadership experience scaling enterprise data ecosystems.  

• End-to-End Data Knowledge: Strong understanding of data ingestion, data lakes/warehouses, and modern data architectures.  

• AI & Analytics Enablement: Experience enabling AI/ML and Computer Vision capabilities on top of data platforms to drive advanced insights and business value.  

Leadership and Collaboration:  

• Leadersh