Go-to-Market Intelligence & Automation Lead

Zeta Global•Nashville, TN

8d•$130,000 - $140,000

About The Position

The Go-to-Market Intelligence Automation Lead is a strategic, systems-minded role that sits at the intersection of business needs, technical implementation, and productized intelligence . You will help architect and operationalize a scalable automation engine that powers how intelligence is built, packaged, and delivered—turning high-value insight delivery into repeatable, efficient workflows that accelerate action and deepen impact. As a key owner of our automation and enablement infrastructure, you’ll serve as a central point of contact across Intelligence, Analytics, Applications, Product, and GTM stakeholders—ensuring that priorities are translated into clear requirements, aligned to a roadmap, and delivered through intuitive, automated solutions. This role also supports the evolution of AI-enabled workflows (including AI agents and embedded intelligence tooling) to strengthen consistency, speed, and storytelling at scale. The ideal Automation Lead is a process and systems thinker who enjoys building scalable ways of working—and can move comfortably between strategy, requirements, and execution detail. In addition, you have: Strong stakeholder management: you can be the “hub” that keeps priorities, requirements, and delivery aligned Strong analytical and structured thinking; ability to distill complexity into clear requirements and frameworks Comfort operating in both ambiguous problem spaces and execution-level detail

Requirements

5–7 years in data strategy, solution development, marketing analytics, operations, or adjacent roles
Proven ability to define workflows, drive cross-functional alignment, and deliver repeatable solutions
Experience partnering with Product, Analytics, and/or Martech development teams
Advanced Excel / PowerPoint; comfortable turning data into structured narratives and frameworks
Familiarity with BI/reporting tools (e.g., Tableau) and core data logic
Strong project management, communication, and documentation skills

Nice To Haves

Experience with Asana, Jira, Confluence, or other documentation/task management tools
Exposure to marketing technology (CDPs, DMPs, DSPs, CRMs, etc.)
Conceptual understanding of AI/ML applications in marketing intelligence (and interest in operationalizing AI in workflows)
Working knowledge of SQL (comfortable querying datasets, validating logic, and partnering with technical teams on requirements)

Responsibilities

Intelligence Automation Strategy & Roadmap Ownership Own and evolve the roadmap for scalable intelligence delivery—including automation frameworks, reusable components, and insight packages used across teams and verticals.
Identify high-impact opportunities to reduce delivery time and increase quality through automation, modular frameworks, and standardized workflows.
Surface friction points, unmet needs, and whitespace opportunities—translating them into clear improvements and roadmap initiatives.
Use Case Translation & Requirements Leadership Serve as the connective tissue between GTM strategy and technical execution—translating use cases into clear business requirements , logic, and workflow designs.
Partner with Product, Analytics, and Applications teams to shape design, implementation, and deployment of scalable solutions.
Ensure alignment across teams on definitions, inputs/outputs, and success metrics—so intelligence is consistent, trusted, and easy to adopt.
AI-Enabled Intelligence Delivery Help integrate AI-enabled workflows into intelligence delivery (e.g., automated insight narration, pattern surfacing, QA assist, template-driven storytelling, and AI-agent supported workflows).
Support feedback loops to continuously improve intelligence tooling, AI-assisted workflows, and delivery experiences—balancing speed with quality and governance.
Enablement, Adoption & Operational Excellence Own and refine enablement infrastructure: intake processes, templates, documentation, and knowledge hubs that support scalable execution.
Improve usability and adoption of Data Cloud tools and intelligence products through process refinement and consultative support.
Support cross-functional initiatives related to internal tooling, platform integrations, and operational consistency.
Support select pre-sales or client-facing work with automation-aligned deliverables when needed.