• Identify high-impact AI use cases across client delivery, internal operations, and go-to-market • Rapidly prototype AI-powered solutions using available tools and custom approaches • Direct and refine AI tools (prompt engineering, automation workflows, lightweight scripting) • Maintain a prioritized AI roadmap balancing speed-to-impact against long-term strategic value • Evaluate AI tools in the market and assess when to leverage existing platforms vs. build internally • Create clear recommendations for leadership with cost implications • Track and report on AI platform costs, API usage, and total cost of ownership • Work with internal stakeholders to identify data sources and opportunities for AI leverage • Help organize and prepare data for AI-driven use cases • Partner with consultants and functional leaders to translate real-world business needs into AI-enabled solutions • Establish and enforce data governance guardrails: what data can and cannot be used in AI tools, PII handling, and confidentiality protocols • Drive user adoption through hands-on training, documentation, and workflow embedding • Identify and cultivate AI champions within each functional area • Run regular demos and share progress with senior leadership • Track adoption metrics and iterate on tools based on user feedback • Evaluate, trial, and manage relationships with AI tool vendors • Own the AI tools budget: track spend, forecast costs, and ensure ROI justifies investment • Negotiate licenses and manage renewals for AI platforms • Move quickly from concept to test • Embrace context switching as priorities evolve • Iterate rapidly when ideas don’t land as expected