Senior R&D Program Manager

Lead end-to-end execution of the Customer Intelligence program, ensuring alignment across scope, priorities, dependencies, and delivery timelines within a complex, cross-functional SaaS environment. Serve as the central point of coordination across globally distributed engineering, product, and project teams to drive clarity and alignment. Proactively identify, manage, and communicate risks, dependencies, and tradeoffs to maintain program momentum while shaping a clear roadmap aligned to strategic business objectives. Own select features or technical initiatives end-to-end, coordinating across teams to drive definition, delivery, and customer outcomes. Drive program transparency through structured reporting, dashboards, and communication that enable confident decision-making by leadership. Establish a consistent view of program health, including status, risks, dependency impacts, and delivery confidence. Translate complex program information into clear, actionable insights for both technical and executive audiences. Monitor overall program effectiveness and identify opportunities to improve processes, coordination, and delivery outcomes. Lead or recommend operational reviews and process improvements that increase predictability and reduce friction across teams. Build and communicate business cases for improvements, including cost/benefit analysis and expected impact. Influence decision-making at multiple levels of the organization, including senior leadership. Provide guidance and mentorship to project managers, helping improve consistency and execution quality across the program. Support program-level financial planning, including budget tracking, forecasting, and identifying trends and optimization opportunities. Ensure alignment between program execution, business objectives, and customer outcomes. Leverage Jira Cloud and advanced reporting capabilities to provide cross-program visibility and actionable insights. Continuously improve data quality and reporting practices to enable better program decisions. Identify and apply AI-driven capabilities to improve planning, risk detection, and overall program management effectiveness.