Vice President, Enterprise Data Architecture

Responsibilities: Define the multi-year enterprise data architecture roadmap aligned with business strategy and AI ambitions Own target-state architecture, standards, and technology direction for scalable, secure data capabilities Lead major architecture decisions and prioritize investments to balance speed, cost, risk, and long-term flexibility Provide senior technical leadership to internal engineering teams and external partners Partner with governance, security, privacy, legal, and tech leaders to embed quality and control in architecture Drive adoption of standards across functions and regions, manage cross-department dependencies Identify high-value AI/data opportunities and integrate agentic use cases into the data foundation Maintain senior relationships with strategic data platform partners and benchmark against peers Lead Data Modeling Center of Excellence and define enterprise standards for data modeling Develop leadership pipeline, mentor senior technical talent, and foster an inclusive, innovative culture Oversee alignment with broader firm data strategy and ensure governance across domains Create reference architectures for platforms like Databricks, Glean, Palantir

Key requirements: 10-15+ years in enterprise data architecture and engineering Proven track record delivering multi-year enterprise architecture roadmaps Deep experience in data modeling and standards across complex domains Experience leading architecture or data modeling organizations and talent development Experience directing distributed engineering teams and managing strategic partnerships Strong ability to influence senior stakeholders and drive adoption of standards at scale Excellent communication skills for technical and executive audiences Hybrid work model with 1 day in-office per week excellent communication persuasive influence with senior leaders collaboration and cross-functional coordination enterprise data architecture data modeling governance and security disciplines