AI Strategy and Implementation Lead

Verizon•Basking Ridge, NJ

12d•Hybrid

About The Position

As an AI Strategy & Implementation Lead, you will architect, prioritize, and execute a high-volume pipeline of AI initiatives, autonomous workflows, and agentic solutions across Integrated Marketing and Marketing Operations. Operating as a rare "builder-consultant" hybrid, you will translate complex marketing challenges into secure, scalable AI assets. You will bridge the gap between business strategy and hands-on execution, driving enterprise-scale productivity through next-generation AI automation.

Requirements

Bachelor's degree or four or more years of work experience
Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
Experience in marketing operations, management consulting, or tech implementation.
MarTech & Process Optimization Experience: Proven experience mapping integrated marketing pipelines, asset lifecycles, or campaign production workflows. You possess a strong working knowledge of how modern marketing moves from brief to execution, enabling you to pinpoint friction points natively.
Advanced Google AI Proficiency: Hands-on experience developing within Google's enterprise ecosystem (Gemini Advanced, Vertex AI, NotebookLM) alongside deep structural understanding of prompt logic, RAG, and autonomous agent tool-use.
Core Technical Competencies: Practical coding experience with Google Apps Script, Python, or building API integrations to dynamically connect Large Language Models (LLMs) to external data streams.
ROI & Problem-Solving Mindset: A proven track record of independently troubleshooting technical logic/data failures and translating builds into measurable business results (e.g., hours optimized, throughput increase).

Nice To Haves

Experience managing high-volume innovation pipelines or scaling digital transformation trackers within a Fortune 20 enterprise framework.
Strong background in data/analysis optimization, including data cleaning, sheet automation, vector database understanding, and large dataset trend analysis.
Proven track record of developing custom multi-agent frameworks, automated workflow templates, or detailed technical enablement documentation.
Exceptional communication skills with the capability to translate complex technical AI application logic clearly into high-level business strategy for non-technical business partners.

Responsibilities

Process Discovery & Value Mapping: Proactively embed within integrated marketing teams to shadow creative, media, and campaign workstreams. Map their operational pipelines, identify manual bottlenecks, and independently surface high-value opportunities for AI intervention.
Asset Development: Design, build, and deploy custom Gems, multi-agent orchestrations, and secure RAG (Retrieval-Augmented Generation) workflows.
Platform & Governance: Serve as the resident expert on Google’s AI suite (Gemini, Vertex AI, Workspace Studio) while enforcing prompt engineering standards, data privacy, and ethical guardrails.
Scale & SOPs: Identify high-potential, localized workflows and scale them into repeatable, enterprise-wide Deployable Assets and Standard Operating Procedures (SOPs).