Sr. Director, GTM Systems, Process & Operations

Key Responsibilities

• Own the long-term roadmap for global GTM data and technology. Set architectural direction for the revenue intelligence platform.
• Lead AI-native operations: Define how AI agents, automated workflows, and data pipelines replace manual data production. Shift team focus toward governance, architecture, and strategic advisory work.
• Standardize global sales workflows and streamline Quote-to-Cash to reduce cycle times and field friction.
• Provide strategic leadership for the Field Support organization, integrating specialized deal support with centralized operational execution.
• Partner with IT, Sales, Product, Finance, Legal, and Partner Operations to scope and deliver complex GTM capabilities.
• Manage and grow a global team of Directors, Senior Managers, and specialists across QTC, Core Sales, and Shared Services.
• Oversee procurement and integration of third-party technologies. Evaluate AI tooling critically.
• Partner with Product and Data Engineering to embed Snowflake's AI and data capabilities directly into internal GTM workflows.

Minimum Qualifications

• 15+ years of professional experience, with 8+ years leading Sales Operations, GTM Systems, or Revenue Intelligence functions in a high-growth B2B SaaS or enterprise technology environment.
• Proven success managing global, multi-layered teams across system configuration, process design, and SLA-driven shared services operations.
• Deep expertise in the Salesforce ecosystem (SFDC, CPQ, CLM) and master data management platforms.
• Experience governing the integration between Salesforce and a cloud data warehouse (Snowflake, Databricks, or equivalent) as the analytical layer.
• Demonstrated ability to drive executive alignment through data, manage competing priorities, and communicate across technical and business audiences.

Preferred Qualifications

• Experience leading a GTM operations or revenue systems team through a transition from data delivery to AI-governed data architecture.
• Working knowledge of AI agent deployments in a revenue operations context, including LLM-based agent governance within CRM and data warehouse systems.
• Demonstrated ownership of metric definitions, data quality infrastructure, or a "single source of truth" initiative at a revenue data architecture level.
• Track record of leading organizational transformation through technology-driven change.
• Executive presence and credibility with peer VPs and SVPs.