Chief Data Strategist

Verizon

Senior Director of Data Strategy & Technology leading Verizon's data organization transformation and cloud integration initiatives. Spearheading the transition to a Governed Federated Model to enhance operational efficiency.

Posted 8/1/2026full-timeBasking Ridge • New Jersey, Texas • 🇺🇸 United StatesLead💰 $176,500 - $339,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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 StrategyCloud Data MigrationsModern Data Stack MasteryLeadership in Data Infrastructure OptimizationCross-Functional Stakeholder Influence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Fabric ConceptsData Mesh ConceptsEnterprise ArchitectureData Pipeline EngineeringAutomated Quality ControlsData GovernanceData Ecosystem OptimizationSQL Server IntegrationOracle Database IntegrationAI Application Enablement

Soft Skills

Executive PresenceInfluencing SkillsNegotiation SkillsStrategic PlanningTeam Management

Tools & Technologies

Google CloudData SandboxData Tech StackConversational AINatural Language Interfaces

Industry Keywords

Data OperationsData Duplication EliminationOperational TurnaroundsLegacy Technical Debt ManagementCorporate Budget Management

Tech Stack

Tools & technologies

CloudOracleSQL

About the role

Key responsibilities & impact

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-Usual (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

What you’ll need

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.

Benefits

Comp & perks

medical, dental, vision, short and long term disability
basic life insurance, supplemental life insurance, AD&D insurance
identity theft protection
pet insurance and group home & auto insurance
matched 401(k) savings plan
up to 8 company paid holidays per year
up to 6 personal days per year
paid parental leave
adoption assistance and tuition assistance
other incentives