Head of Enterprise Data Strategy & Cloud Modernization

• Lead the strategic rollout of the new Governed Federated Model across Verizon, directly engaging with VPs and SVPs across business units to integrate localized data operations into a centralized framework
• Oversee the functional transition of data teams, moving from a legacy mirrored geographic structure to a streamlined, functional model to reduce complexity and foster absolute accountability
• Manage the strategic demand intake to balance critical Business-As-Us-ual (BAU) operational deliverables with high-intensity "Transformation Tiger Team" initiatives
• Directly address and eliminate massive data duplication across the enterprise, systematically shutting down non-federated spaces
• Expand the Google Cloud single source of truth by integrating critical external data assets—including legacy SQL Servers, Oracle Databases, and other third-party systems—into a unified, enterprise-wide framework
• Champion the creation and adoption of a single, authoritative shared data sandbox equipped with automated quality controls and seamless discoverability, replacing over 100+ non-federated sandboxes
• Drive engineering rigor to collapse and organize a legacy landscape of 300K+ tables into a highly organized, highly discoverable technical framework
• Define the technical standards and architectural roadmaps required to transition the business to a modern, agile, and secure data infrastructure
• Partner with global engineering teams to identify and train federated data engineers on common data standards, ensuring only certified builders can deploy within the shared sandbox environment
• Optimize the data ecosystem on Google Cloud, building the underlying data tech stack necessary to seamlessly enable and scale enterprise AI applications
• Procure, assemble, and integrate best-in-class technology capabilities to establish a modern, enterprise-grade data engineering ecosystem
• Architect and implement the core tech capabilities—including automated quality controls, embedded governance, and full operational observability—that enable resilient, high-performance data pipelines across heterogeneous environments
• Drive the adoption of conversational AI and natural language interfaces, enabling intuitive data discovery, querying, and interaction for technical and non-technical stakeholders alike.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
• Minimum of 10 years of progressive leadership experience in enterprise data strategy, large-scale cloud data migrations (Google Cloud preferred), or data infrastructure optimization
• 7+ years in a senior leadership role managing large, distributed teams
• Mastery of the Modern Data Stack, data fabric/mesh concepts, enterprise architecture, and experience managing hyper-scaled data footprints (hundreds of terabytes to petabytes)
• Exceptional executive presence with a proven track record of influencing cross-functional SVPs, VPs, and technical stakeholders to adopt centralized standards
• Demonstrated success steering organizations through complex operational turnarounds, reducing legacy technical debt, and managing high-stress transformation teams
• Demonstrated ability to develop and execute strategic plans and drive innovation within a complex organizational structure
• Experience managing budgets and vendor relationships within a large corporate environment
• Ability to work effectively in a fast-paced and complex environment with multiple stakeholders across different Verizon business units
• Strong business acumen with excellent influencing and negotiation skills.

Expertise in leading enterprise data strategy and cloud data migrations, with a focus on optimizing data infrastructure and implementing modern data stack principles. Proven ability to influence stakeholders and drive organizational transformation in complex environments.

• Enterprise Data Strategy
• Cloud Data Migrations
• Modern Data Stack Mastery
• Leadership in Data Infrastructure Optimization
• Cross-Functional Stakeholder Influence

• Data Fabric Concepts
• Data Mesh Concepts
• Enterprise Architecture
• Data Pipeline Engineering
• Automated Quality Controls
• Data Governance
• Data Ecosystem Optimization
• SQL Server Integration
• Oracle Database Integration
• AI Application Enablement

• Executive Presence
• Influencing Skills
• Negotiation Skills
• Strategic Planning
• Team Management

• Data Operations
• Data Duplication Elimination
• Operational Turnarounds
• Legacy Technical Debt Management
• Corporate Budget Management

• Google Cloud
• Data Sandbox
• Data Tech Stack
• Conversational AI
• Natural Language Interfaces