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AI Implementation Specialist - Marketing Department
<h3>Invera Talent Inc · United States</h3><hr><p><strong>Role Overview</strong></p><p>We are seeking an AI Implementation Specialist for the Marketing department. This role is for a practical operator who can translate AI discussions into real, department-wide workflows.</p><p>The successful candidate will partner with CMOs, brand teams, content teams, digital marketing, performance marketing, product marketing, legal, data teams, agencies, and regional marketing teams to identify high-value use cases, redesign processes, implement AI-supported ways of working, and drive adoption across the department.</p><p>This is a hands-on transformation role focused on delivering measurable improvements across campaign planning, content production, SEO and audience research, customer segmentation, personalization, and related operating routines.</p><hr><p><strong>Mission of the Role</strong></p><p>The mission is to help the Marketing department use AI to enhance quality, speed, decision support, and employee productivity while maintaining appropriate controls.</p><p>The specialist will convert business requirements into practical AI workflows, support tool configuration and adoption, and help teams determine where AI should assist, where human expertise must make decisions, and how performance should be measured.</p><hr><p><strong>Core Responsibilities</strong></p><p>Map Marketing workflows and identify where AI can reduce manual effort, improve consistency, accelerate analysis, or strengthen decision support.</p><p>Translate business challenges into AI use cases, workflow designs, adoption plans, governance requirements, and measurable success criteria.</p><p>Implement AI-supported solutions across campaign planning, content production, SEO research, customer segmentation, personalization, performance reporting, and brand governance workflows.</p><p>Conduct discovery interviews, process reviews, data-readiness assessments, and stakeholder workshops.</p><p>Configure or support the deployment of AI assistants, automation workflows, dashboards, knowledge tools, prompt libraries, and review checkpoints.</p><p>Collaborate with IT, data, security, legal, and compliance stakeholders to ensure AI use is safe, scalable, and aligned with enterprise policies.</p><p>Create implementation documentation, workflow instructions, user guides, and adoption materials.</p><p>Monitor progress using business metrics, user adoption indicators, quality checks, and post-implementation reviews.</p><hr><p><strong>Required Experience and Capabilities</strong></p><p>Experience in Marketing transformation, digital operations, process improvement, AI implementation, consulting, or enterprise technology adoption.</p><p>Strong understanding of campaign planning, content production, SEO and audience research, customer segmentation, personalization, and performance reporting.</p><p>Ability to convert business requirements into structured workflows and implementation plans.</p><p>Familiarity with marketing automation platforms, CMS tools, analytics platforms, DAM systems, SEO platforms, social media tools, and controlled generative AI environments.</p><p>Working knowledge of generative AI, automation, analytics, knowledge management, prompt design, and human-in-the-loop review models.</p><p>Understanding of brand consistency, copyright, factual accuracy, customer data protection, tone control, and human review requirements prior to publication.</p><p>Strong stakeholder communication and facilitation skills.</p><p>Ability to work independently in a global, remote-first environment.</p><hr><p><strong>How to Apply</strong></p><p>Please submit a CV or professional profile along with a short note outlining relevant AI implementation or AI training experience, department-specific expertise, and examples of business impact.</p><p>Portfolio materials, workshop examples, playbooks, prompt libraries, process maps, or case studies may be included where appropriate.</p><p>The selection process will emphasize practical capability, communication quality, business judgment, and the ability to make AI effective in real departmental workflows.</p>
