• Conduct qualitative and quantitative research to understand user needs, workflows, and pain points across multiple SaaS products in the portfolio, with a focus on opportunities for AI-driven automation and intelligence. • Analyze competitive products and the broader AI landscape within our industry to identify patterns, gaps, and emerging best practices relevant to agentic and platform-based AI solutions. • Partner with Product and Engineering leaders to inventory and assess available first-party data (e.g., customer, usage, operational, and behavioral data) that can be leveraged to train models and generate user-facing insights. • Synthesize insights from user research, competitive analysis, and data exploration into clear opportunity areas for reusable AI agents, tools, and platform capabilities. • Develop concept briefs, workflows, and problem statements for AI-powered solutions that can be delivered through our centralized AI platform and agentic architecture. • Support prioritization discussions by evaluating opportunities based on user value, scalability across the portfolio, data readiness, and feasibility. • Document findings and recommendations in clear, executive-ready formats to inform AI roadmap planning and platform investment decisions.