November 12th, 2026 4:30 PM - 5:30 PM
Peer Discussions
Revenue Growth & Operations Leaders Peer Discussion
Revenue operations leaders play a critical role in aligning strategy, processes, data, technology, and performance management across the revenue engine. Whether coordinating planning and budgeting, optimizing go-to-market processes, improving data quality and governance, maximizing technology investments, designing operating models, or delivering actionable insights to the business, leaders in this role share a common objective: creating greater alignment across the customer lifecycle to drive growth and improve business outcomes.This quarterly peer discussion brings together revenue and operations leaders to exchange perspectives, compare approaches, and learn from one another’s experiences. Facilitated by a Forrester expert, each session focuses on a timely area of interest while creating space for candid conversation, practical problem-solving, and the sharing of lessons learned among peers facing similar challenges. Discussions may explore topics such as planning, process optimization, measurement, data orchestration, technology strategy, change management, organizational design, AI adoption, and cross-functional alignment, depending on the priorities most relevant to participants.This peer discussion will explore how AI is redefining revenue operations.This conversation will be hosted by Cristina De Martini and Laura Cross and will include open discussion with participants, so please bring your questions, experiences, and perspectives to share with the groupQuestions For Discussion: Which traditional RevOps responsibilities are already being impacted by AI in your organization, and how is that changing expectations of the RevOps team?Who owns AI governance across your go-to-market organization today, and what role should RevOps play in establishing decision rights, guardrails, and accountability?What new skills, talent profiles, or organizational capabilities will RevOps leaders need over the next three years to lead AI-enabled go-to-market transformation?