AI Strategy and Implementation Lead

Verizon•Basking Ridge, NJ

1d•$115,500 - $201,000•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. This role involves Process Discovery & Value Mapping by proactively embedding 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. It also includes Asset Development, where you will design, build, and deploy custom Gems, multi-agent orchestrations, and secure RAG (Retrieval-Augmented Generation) workflows. You will also be responsible for Platform & Governance, serving as the resident expert on Google’s AI suite (Gemini, Vertex AI, Workspace Studio) while enforcing prompt engineering standards, data privacy, and ethical guardrails. Finally, you will focus on Scale & SOPs, identifying high-potential, localized workflows and scaling them into repeatable, enterprise-wide Deployable Assets and Standard Operating Procedures (SOPs).

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.
Proven experience mapping integrated marketing pipelines, asset lifecycles, or campaign production workflows.
Strong working knowledge of how modern marketing moves from brief to execution, enabling you to pinpoint friction points natively.
Hands-on experience developing within Google's enterprise ecosystem (Gemini Advanced, Vertex AI, NotebookLM).
Deep structural understanding of prompt logic, RAG, and autonomous agent tool-use.
Practical coding experience with Google Apps Script, Python, or building API integrations to dynamically connect Large Language Models (LLMs) to external data streams.
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

Architect, prioritize, and execute a high-volume pipeline of AI initiatives, autonomous workflows, and agentic solutions across Integrated Marketing and Marketing Operations.
Translate complex marketing challenges into secure, scalable AI assets.
Bridge the gap between business strategy and hands-on execution, driving enterprise-scale productivity through next-generation AI automation.
Proactively embed within integrated marketing teams to shadow creative, media, and campaign workstreams.
Map operational pipelines, identify manual bottlenecks, and independently surface high-value opportunities for AI intervention.
Design, build, and deploy custom Gems, multi-agent orchestrations, and secure RAG (Retrieval-Augmented Generation) workflows.
Serve as the resident expert on Google’s AI suite (Gemini, Vertex AI, Workspace Studio).
Enforce prompt engineering standards, data privacy, and ethical guardrails.
Identify high-potential, localized workflows and scale them into repeatable, enterprise-wide Deployable Assets and Standard Operating Procedures (SOPs).