AI Strategy and Implementation Lead

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

What you’ll be doing…

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.

• 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).

What we’re looking for…

We are seeking a rare “Builder-Consultant” hybrid who possesses the business acumen to advise senior marketing leadership and the technical competency to independently build prompt logic, write code, and configure APIs. You act as a seamless translation layer between the marketing suite and technical systems. You don’t wait for a marketer to hand you a technical requirement document; instead, your baseline marketing knowledge allows you to listen to a campaign challenge or a pipeline delay and instinctively deduce the prompt logic, RAG architecture, or automation workflow needed to solve it. Crucially, you are an innate, relentless problem solver who looks past AI hype to design efficient, secure, stable systems focused entirely on delivering measurable business ROI and process efficiency.

You’ll need to have:

• 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).

Even better if you have one or more of the following:

• 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 fra…