• Design, build, and maintain custom AI agents and agentic workflows (using Claude, OpenAI GPTs, and similar platforms) • Use tools like Zapier, MCP connectors, and LLM integrations to connect AI capabilities into our existing martech stack • Own the development and ongoing maintenance of Model Context Protocol (MCP) connectors across marketing applications • Build and maintain a centralized library of high-performing, standardized prompts, skills, and “brand voice” frameworks • Deliver a steady cadence of milestones from marketing’s AI-first backlog • Lead enablement efforts and host regular office hours to support the marketing team • Act as the team’s internal AI authority — sharing what’s working, what’s not, and what’s coming • Stay on the pulse of the marketing AI landscape • Explore and implement Retrieval-Augmented Generation (RAG) customization where applicable

• Support AI Adoption and Enablement Across Teams • Partner with agency and functional leaders to identify opportunities to integrate AI into workflows • Support development and execution of AI training and enablement programs • Help create role-specific playbooks and best practices • Coordinate AI workshops, office hours, and internal enablement sessions • Support development of an internal network of AI champions • Manage Bottoms-Up AI Use Case Pipeline • Collect and organize AI use cases from teams across agencies and functions • Maintain a structured intake and tracking system for use cases • Categorize opportunities based on impact, feasibility, and alignment with priorities • Partner with the AI Generalist and technical teams to support early-stage validation • Support Prioritization and Leadership Reviews • Prepare use cases for review by leadership and decision-makers • Summarize expected benefits, required effort, and dependencies • Support prioritization discussions and documentation of decisions • Ensure alignment with broader AI initiatives and priorities • Assist with Workflow Integration and Pilot Execution • Work with teams to integrate AI into existing workflows • Support pilot execution and capture feedback • Document successful use cases and contribute to scaling efforts • Help standardize repeatable approaches across teams • Capture and Organize Client AI Signals • Gather AI-related requests, needs, and trends from client-facing teams • Organize and synthesize inputs across agencies • Share insights with AI leadership to inform priorities and capability development • Track Productivity Impact and Support Reporting • Help track time savings and efficiency improvements from AI use cases • Support development of reporting on productivity and adoption • Maintain visibility into use case pipeline progress and outcomes • Coordinate Across AI, IT, and Business Teams • Work closely with the AI transformation team and Senior Director • Partner with IT and architecture teams to align on feasibility and scaling • Help ensure use cases follow the defined AI lifecycle

• Build analytical and financial models that quantify the business impact of AI capabilities across Autodesk’s platform and industry groups • Develop forecasts for AI adoption, usage, revenue influence, and long-term planning • Construct business cases and decision-ready analysis to guide investment, prioritization, and leadership reviews • Model and optimize inference cost economics (COGS), including GPU utilization, cloud strategy, and scaling drivers • Translate product telemetry into insights supporting monetization, pricing, and cross-industry growth opportunities • Create executive- and Board-ready presentations, narratives, and slide materials that communicate strategic recommendations, investment plans, and business priorities with clarity and impact • Contribute to building repeatable dashboards, reporting frameworks, and tools to enable data-driven execution across Product, Finance, and Engineering teams

• Owns the curriculum that makes the shift to AI successful • Facilitates executive coaching sessions • Builds connections with customers to surface use case candidates • Contributes to the Provectus enablement playbook