Chief Data Strategist

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.
Requirements 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.
Core Competencies 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.
Highest-signal resume keywords Enterprise Data Strategy
Cloud Data Migrations
Modern Data Stack Mastery
Leadership in Data Infrastructure Optimization
Cross-Functional Stakeholder Influence
ATS Optimization Keywords Hard Skills 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
Soft Skills Executive Presence
Influencing Skills
Negotiation Skills
Strategic Planning
Team Management
Industry Keywords Data Operations
Data Duplication Elimination
Operational Turnarounds
Legacy Technical Debt Management
Corporate Budget Management
Tools & Technologies Google Cloud
Data Sandbox
Data Tech Stack
Conversational AI
Natural Language Interfaces

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