MarTech Technology Strategist

Verizon•Alpharetta, GA

4d•$120,500 - $231,000•Hybrid

About The Position

As a Principal MarTech Strategy & Real-Time Expert, you will serve as the critical bridge between marketing business strategy, hands-on technical execution, and next-generation personalization. In this role, you will be both a technology strategist and a hands-on practitioner. You are comfortable evaluating technology platforms, scaling our MarTech stack, and setting a future-proof vision for AI-driven, agentic 1:1 personalization, while simultaneously rolling up your sleeves to build real-time customer journeys, configure profile schemas, and troubleshoot data flows.

Requirements

Bachelor’s degree or four or more years of work experience.
Six or more years of relevant experience
Six or more years of MarTech Architecture and Evaluation Experience, including evaluating technology platforms, analyzing technical debt, and designing scalable architectures to support real-time marketing and AI/ML model integration.
Experience creating a strategy for how modern AI, machine learning, and agentic automation fit into the future of omni-channel customer experiences.
Three or more years of hands-on experience building customer journeys, configuring schemas, managing identity resolution, and activating real-time profiles in Adobe (AEP, RTCDP, AJO) or modern real-time marketing tools.
Experience translating dense, complex technical architecture into clean, visually engaging presentations for leadership and cross-functional stakeholders.
Experience guiding technical pods or cross-functional delivery teams through high-velocity Agile delivery cycles.
Six or more years of hands-on engineering experience with AEP/RTCDP with everyday work with XDM schemas, Identity Service, Profile Service, and Destination connectors.

Nice To Haves

Experience with digital analytics, latency optimization, and measuring the ROI of real-time marketing activations.
A "Health-First" Mindset: Proven experience in maintaining the stability and performance of large-scale enterprise data platforms.
Experience leading cross-functional teams to deliver complex, data-driven technology projects.
Experience in a CoE model where you set standards for others to follow.
Background in large-scale data migrations or platform transformation

Responsibilities

Stack Evolution & Evaluation: Continually evaluate emerging MarTech tools, platforms, and architectures to build a scalable engine capable of supporting next-gen, agentic 1:1 personalization.
AI & Decisioning Integration: Collaborate with Data Science and Engineering teams to integrate AI/ML models into the real-time marketing loop, connecting audience triggers with smart decisioning logic across channels.
Strategic Roadmap Development: Translate business strategies into a future-proof MarTech engineering roadmap that balances rapid delivery with long-term platform scalability.
Build & Deploy Journeys: Lead the hands-on technical design, build, and enablement of real-time marketing (RTM) use cases, customer journeys, and behavioral triggers using Adobe Experience Platform (AEP / RTCDP / AJO) or similar real-time marketing engines.
Profile & Data Orchestration: Define and maintain schemas, identity namespaces, and profile merge policies to ensure real-time profile orchestration is clean, scalable, and actionable.
Operational & Platform Health: Actively monitor dataflow health, ingestion patterns, and technical latency, proactively resolving bottlenecks before they impact real-time customer experiences.
Lead Delivery Squads: Lead technical execution pods through iterative Agile delivery cycles, establishing technical standards and maintaining a high standard of execution excellence.
Translate Strategy to Execution: Serve as the technical liaison between business strategists, IT, and security teams—translating complex strategic ambitions into clear technical requirements and backlog items.
Executive Narratives: Own the creation of clear, visual technical narratives and executive-level decks that explain the "how" and "why" behind MarTech architectural decisions.
Measurement Frameworks: Define and track key performance indicators across both technical metrics (data latency, system uptime, schema accuracy) and business outcomes (conversion lift, audience activation efficiency).
Governance & Standards: Establish best practices for data governance, sandboxing, and platform lifecycle management in partnership with dedicated compliance teams.