The ideal candidate demonstrates the ability to pursue greatness through transformative thinking, act with integrity when making governance and technology decisions, remain driven to help our clients succeed by enabling trusted and scalable data consumption, win together through cross-functional influence and collaboration, and create and share joy by fostering alignment, simplification, and measurable impact across the organization. Working across Enterprise Data Lakehouse (EDLH), Data Warehousing & Automation (DWA), Data Modernization & Sharing (DMS), AI Engineering (AIE), and Data eXperience & Analytics (DXA), this leader drives alignment, integration, and measurable business outcomes while operating without direct ownership of the underlying engineering platforms.