• Define and execute a multi-product roadmap that connects core applications, data capabilities, and AI-enhanced experiences. • Design and test pricing, packaging, and positioning strategies that incentivize multi-product adoption and deepen enterprise value. • Develop a clear vision for how data and insights create competitive advantage, improve outcomes, and open new monetization opportunities. • Guide teams in defining data contracts, instrumentation, and analytics capabilities that enable actionable benchmarking and performance optimization. • Champion pragmatic AI use cases across classification, recommendations, and workflow automation to accelerate value delivery. • Partner with engineering to embed agentic and automation capabilities that improve both team productivity and customer efficiency. • Build and scale a product operations framework focused on outcomes, metrics, and iteration velocity. • Leverage data-driven insights and customer telemetry to drive adoption, identify friction, and inform continuous improvement. • Lead continuous discovery with customers to validate needs, assess willingness to pay, and refine product-market fit across multiple product lines. • Translate customer and market feedback into roadmap priorities that strengthen retention and expansion. • Operate as a peer within the PDE leadership triad, ensuring tight alignment between product, design, and engineering. • Partner closely with GTM teams to position and package offerings, define “hook” features, and communicate differentiated value to the market.