• Design and build AI-powered workflows for marketing execution • Conduct keyword research and clustering (high-intent focus) • Build AI-assisted content pipelines (blogs, landing pages) • Optimize existing content and improve rankings • Implement internal linking, metadata, and schema strategies • Perform competitor content analysis • Manage Google Business Profile updates and posts • Build and optimize campaigns and flows (Klaviyo or similar) • Monitor workflows and ensure systems run reliably • Prepare weekly marketing performance summaries • Work closely with stakeholders to translate ideas into working systems

• Design comprehensive AI‑enabled solutions across the Workday ecosystem • Serve as a trusted advisor to senior HR, Finance, and IT leaders • Lead functional workstreams for AI initiatives • Partner with Product and Engineering to share field insights • Collaborate with technical and integration teams

• Act as the primary point of contact for clients and partners during AI implementation initiatives • Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures). • Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment. • Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning. • Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments. • Produce executive-level updates summarizing progress, risks, blockers, and next steps.

• Act as the primary point of contact for clients and partners during AI implementation initiatives. • Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities. • Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach. • Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment. • Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers. • Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments. • Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution. • Facilitate integration between client systems and QVAC components. • Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs. • Produce executive-level updates summarizing progress, risks, blockers, and next steps.