Marketing Technology and AI Automation Specialist

Ziegler Companies is seeking a Marketing Technology and AI Automation Specialist to serve as the builder and administrator of Ziegler's AI-enabled marketing operations ecosystem. Responsible for designing, deploying, and optimizing AI agents, workflow automations, and marketing technology integrations that improve team productivity, campaign execution, knowledge accessibility, and operational efficiency. This role partners closely with Marketing Operations, Integrated Marketing, Digital, Communications, IT, and business stakeholders to identify repetitive work, automate processes, and create intelligent solutions that enable marketers to focus on strategy, customer engagement, and business growth. The position acts as both a marketing technologist and AI workflow developer, translating business needs into scalable automation solutions across the marketing organization.

Responsibilities:

• Design, build, test, and maintain AI agents and Copilot-based workflows that automate marketing processes and improve operational efficiency.
• Develop agentic workflows that support campaign planning, persona mapping, content creation, segmentation, asset discovery, reporting, and customer journey execution.
• Create and maintain marketing workbenches, knowledge repositories, prompt libraries, and AI-powered self-service tools for marketing teams.
• Integrate AI agents with CRM, marketing automation platforms, analytics tools, DAM systems, websites, and internal knowledge resources.
• Identify opportunities to eliminate repetitive manual work and redesign processes using AI, automation, and workflow technologies.
• Support marketing campaign execution through automated workflows, audience management, lead routing, nurture programs, and reporting.
• Collaborate with Integrated Marketing teams to build workflow solutions that improve speed-to-market and campaign consistency.
• Develop governance standards for AI use, prompt management, agent maintenance, workflow documentation, and user adoption.
• Monitor automation performance, troubleshoot failures, optimize workflows, and ensure data accuracy across connected systems.
• Maintain marketing taxonomies, metadata structures, and AI-accessible knowledge frameworks to improve searchability and effectiveness.
• Train users on AI tools and support organization-wide adoption of emerging marketing technologies.
• Evaluate new AI platforms, capabilities, and use cases that can create measurable business value and marketing efficiency gains.
• Partner with IT and Data teams to ensure secure, compliant, and scalable AI implementations.

 

Qualifications:

• Bachelor's degree in Marketing, Business Analytics, Information Systems, Computer Science, or related field.
• 3-5 years of experience in marketing operations, marketing technology, automation, CRM administration, digital marketing, or related technical marketing roles.
• Experience with marketing automation platforms, CRM systems, workflow automation tools, campaign execution processes, and customer data management.
• Experience building, configuring, or supporting AI-powered workflows, copilots, agents, or automation solutions using platforms such as Microsoft Copilot, Power Platform, ChatGPT, or similar technologies.
• Understanding of marketing campaign development, customer journeys, audience segmentation, lead management, and demand generation processes.
• Familiarity with workflow automation, API integrations, enterprise knowledge management, prompt development, and AI-enabled business processes.
• Strong technical and analytical problem-solving skills with the ability to translate business requirements into scalable automation and technology solutions.
• Ability to identify opportunities to improve efficiency, reduce manual work, and enhance marketing effectiveness through the application of AI and automation.
• Experience working across marketing, sales, IT, and data teams to support system integrations, process improvement, and user adoption.
• Strong attention to detail, process orientation, and commitment to data quality, governance, and operational excellence.
• Demonstrated curiosity for emerging AI technologies and a willingness to continuously learn, experiment, and apply new capabilities in a rapidly evolving environment.