Lead, GBG Sales Intelligence - APAC

Sales Intelligence is a dedicated, centralized in‑channel team driving sales enablement, operational excellence, and strategic alignment with sales and marketing insights teams and sales organization priorities.

As the Regional Sales Intelligence Individual Contributor, You will support the RVP and their direct reports by translating raw data and complex tools into actionable guidance that enables the frontline to operate with greater efficiency.

This role requires experience developing data-driven sales strategies, managing operational processes, and delivering actionable business insights. This is a key opportunity to play an integral role in executing sales strategy and business processes, driving operational rigor and efficiency, and producing insights to inform decisions.

Team operating principles:

. AI Native: You operate with AI at the core of your strategy and execution.

. Change Leadership: You actively help lead others through change.

. Agility: You are capable of pivoting as business needs evolve.

. Communication Style: You communicate directly and constructively with colleagues and stakeholders.

. Cross Functional Collaboration: You act as the connector between Sales, Product, Marketing, and Operations.

Responsibilities

• In-Channel Activation & Workflow Updates
• Adapt sales motions to optimize adoption and manage feature gaps, including developing playbooks for sales representatives to maximize revenue
• Drive In-Channel Execution work streams, including Plan & Track, Pitch, and Sales AI/Automation
• Ensure operational readiness, manage communications, and localize go-to-market strategies
• Drive the development and implementation of innovative programs including Business AI and Business Messaging to maximize performance
• Compliance & Process Monitoring
• Monitor compliance with global processes such as goaling and segmentation
• Execute transfers and ensure requests align with criteria
• Collaborate with the sales strategy and planning team to adjust tiering and service models at a regional level
• Analysis, Insights & Feedback
• Build hypotheses and analyze system performance to generate new insights that directly drive revenue and ROI
• Manage the feedback loop by collecting feedback on metrics, sharing in-channel perspectives, and troubleshooting tools
• Develop and maintain an understanding of the in-market customer base, including their needs, pain points, and media buying patterns
• Incentives & Program Execution
• Inform the RVP and their directs of new incentive programs on paid messaging and non-marketing initiatives
• Deploy operational expenditure (OPEX) funds at the beginning of the year based on strategic direction

Minimum Qualifications

• BA required
• Experience: 8+ years of experience in consulting, operations, sales, or product at large-scale organizations
• Communication: Ability to distill complex ideas into simple, actionable insights
• Data & Strategy: Experience evaluating data to inform strategy and performing analyses to drive business outcomes
• 5+ years of experience in SQL and Microsoft Excel for structured data querying, analysis, and reporting data visualization using Tableau, Power BI, or Looker Studio large dataset handling and structured data analysis and sales operations methodologies, including sales funnel structure, pipeline management, and account selection strategies. Experience with AI solutions
• The ability to read Chinese, as the role requires reviewing Chinese-language materials and communications to support APAC sales operations

Preferred Qualifications

• Mandarin language proficiency, as the role involves engaging with Mandarin-speaking partners in the APAC region
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

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