• Own the cross‑portfolio Insights roadmap; set vision, goals, and success metrics in partnership with vertical PMs. • Evaluate and prioritize AI/ML capabilities and data science investments aligned to company strategy, ARR goals, and technical constraints. • Translate market and customer needs into clear epics, features, and user stories; manage dependencies across teams. • Define requirements for predictive models, image analysis, and probabilistic scoring; partner with data science on training needs, calibration, and accuracy improvements. • Guide model performance evaluation and risk calibration; understand the AI/ML lifecycle from training through monitoring. • Champion transparency and operational confidence in AI‑driven decisions with customers and stakeholders. • Partner with UX and engineering to ship intuitive, Insight‑powered workflows that fit into customer operations. • Support release readiness, documentation, and enablement for Insights features; function as the escalation point for complex issues and serve as domain SME through build, launch, and adoption. • Engage customers and industry experts for discovery, feedback, and validation; conduct competitive research to improve experience and win share. • Collaborate with product marketing, sales, and enablement on go‑to‑market for Insight‑powered capabilities.