• Own the end‑to‑end enterprise architecture for Ping’s Buyer and Customer Journeys from first touch through renewal and expansion. • Support scalable enterprise architectures for AI initiatives that can be reused across functions. • Govern platform and application choices across the Buyer and Customer Journey tech stack with a clear eye on TCO, scalability, and speed to value. • Map and maintain the enterprise architecture for key journeys (lead and opportunity management, quote‑to‑cash, onboarding, adoption, support, success, expansion) and connect them to the underlying systems, data, and owners (e.g., Salesforce, CPQ, Service Cloud, billing, data platforms, etc.). • Support the end‑to‑end enterprise architecture for top‑down AI initiatives so agents, workflows, core systems, and data platforms fit into a coherent, scalable design aligned to our Buyer and Customer Journeys. • Establish and apply enterprise criteria and decision frameworks for selecting and assessing platforms and tools (e.g., TCO, scalability, fit to target architecture, security, speed to value) and lead recurring rationalization reviews across the Buyer and Customer Journey stack. • Partner with product managers, business analysts, IS architects, and delivery teams to clarify architecture implications and guardrails so roadmaps and backlogs align with the target Buyer and Customer Journey designs. • Join BTO strategy, experience, and business leaders in upfront discovery and framing — clarifying opportunity areas, architectural constraints, and options so ideas are grounded in reality while still ambitious. • Once an initiative is greenlit, drive target‑state architecture, patterns, and trade‑offs (e.g., MVP scope, integrations, data needs), unblocking decisions so delivery teams can move from concept to execution with confidence and clear KPIs.