Director, AI & Automation – Channel Business Operations

About This Role

• Role Overview In this role, you will be the strategic architect for operational efficiency within our global channel ecosystem.
• You will lead the transformation of how we manage our various Routes-to-Market (RTM) by deploying AI-driven automation to reduce friction, eliminate manual bottlenecks, and accelerate revenue velocity.
• You will bridge the gap between our Sales Operations, IT, Partner Program, Sales and Partner ecosystem to build a scalable, intelligent, and highly efficient channel engine.
• Core Responsibilities Channel Process Optimization: Conduct deep-dive analyses across our channel RTMs and personas—Distribution, Aggregation, Resell, Digital Marketplaces and new channel business models —to identify, quantify, and prioritize high-value automation opportunities.
• Technology driven channel automation and Intelligent Partner Experience: Lead the systems and data integration and implementation of automated and AI-driven solutions to optimize foundational partner data management for Partner Programs, dashboards, reporting and self-service support.
• Revenue Operations Automation: Partner with our Distributors, Sales Ops and IT to automate complex pricing, quoting (CPQ), and end-to-end contract workflows to minimize human intervention and improve data accuracy across channel transactions.
• Cross-Functional Technical Orchestration: Serve as the primary liaison between business stakeholders and technical teams (Data/IT).
• Translate complex channel requirements into executable product requirements for AI-enabled workflows.
• Scalable Infrastructure Strategy: Develop the long-term vision for an "Automation-First" channel platform, ensuring that our technical stack (CRM, PRM, ERP, and AI orchestration layers) is modular, secure, and compliant.
• Performance & Data Governance: Define KPIs for operational efficiency, such as "time-to-partner-revenue," "cost-per-transaction," and "process cycle time." Establish robust data governance to ensure AI models training on channel data are secure and accurate.
• Required Qualifications Bachelor’s Degree (Masters/advanced degree preferred) in Information Systems/Technology, Engineering, Computer Science or Business Operations Experience: 15+ years in IT Business Operations, Sales/Channel Operations, or Enterprise Automation, specifically within a large-scale software or technology organization.
• Channel Expertise: Deep understanding of the Software Channel Ecosystem (Distributors, Value-Added Resellers, Managed Service Providers) and the operational hurdles associated with multi-tiered distribution models.
• Strategic Change Management: Proven success in leading large-scale process re-engineering projects in matrixed, global environments.
• Ability to influence stakeholders who may be resistant to shifting away from legacy "manual" processes.
• Analytical Leadership: Demonstrated ability to build business cases for automation investment, including ROI analysis, capacity planning, and resource allocation.
• Technical Requirements: Strong experience with Enterprise CRM/PRM systems, API and systems integrations Experience with Google Suite including Data Studio, Big Query, App Script and Google Gemini/Gems and Gemini Enterprise Agent Platform Coding experience- Python, Selenium, BOTs Current with AI platform evolution technology & LLMs Familiarity with iPaaS/Automation platforms and how to apply LLMs/AI Agents to these workflows Understanding of data architecture and the ability to work with engineers on API-led connectivity.
• Analytical Leadership: Demonstrated ability to build business cases for automation investment, including ROI analysis, capacity planning, and resource allocation.
• We will also consider qualified applicants with arrest and conviction records consistent with local law.
• If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.