Strategist

• Evaluate emerging MarTech tools, platforms, and architectures to support agentic 1:1 personalization
• Collaborate with Data Science and Engineering to integrate AI/ML models into real-time marketing decisioning
• Develop a scalable MarTech engineering roadmap aligned with business strategy
• Design, build, and enable real-time marketing use cases, customer journeys, and behavioral triggers using Adobe Experience Platform, RTCDP, AJO, or similar tools
• Define and maintain schemas, identity namespaces, and profile merge policies
• Monitor dataflow health, ingestion patterns, and technical latency; resolve bottlenecks
• Lead technical execution pods through Agile delivery cycles
• Translate strategic goals into technical requirements and backlog items
• Create visual technical narratives and executive-level presentations
• Define and track technical and business KPIs
• Establish best practices for data governance, sandboxing, and platform lifecycle management

Verizon MarTech strategist architecting real-time personalization and Adobe customer journeys

MarTech Strategist

Verizon MarTech strategist architecting Adobe-powered real-time customer journeys and agentic personalization. Driving platform strategy, AI/ML integration, and technical pod execution.

• 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.

Senior Director of Data Strategy & Technology at Verizon driving data architecture.

Chief Data Strategist

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.

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MarTech Strategist

Chief Data Strategist