• Develop and own the AI strategy for marketing operations, aligning technology investments with business goals. • Identify high-impact opportunities where AI can optimize workflows, personalization, segmentation, lead management, and reporting. • Evaluate, implement, and manage AI tools and platforms used across the marketing tech stack. • Build and maintain AI-driven workflows and automations within CRM, MAP, and integrated systems. • Architect and optimize lead lifecycle processes, routing logic, and scoring using predictive and generative AI. • Streamline campaign operations through automated tagging, data enrichment, and content workflows. • Partner with RevOps, Sales Ops, and GTM teams to enhance cross-functional processes. • Ensure data hygiene, standardization, and enrichment to improve AI model performance. • Maintain governance frameworks for AI usage, including compliance, access control, prompt standards, and model reliability. • Monitor data pipelines and troubleshoot issues impacting automation or analytics. • Build AI-enhanced dashboards, attribution models, and performance insights for marketing leaders. • Analyze funnel metrics, pipeline trends, and customer behavior to identify optimization opportunities. • Use predictive modeling to forecast revenue, pipeline creation, and campaign performance. • Educate marketing teams on AI best practices, tools, and workflows. • Develop training materials, documentation, prompt libraries, and playbooks. • Act as an internal SME on AI applications within marketing operations. • Pilot new AI technologies and run experiments to test their impact on efficiency and performance. • Continuously refine models, prompts, and workflows to improve accuracy and scale.