Lead, Gbg Sales Intelligence - Emea

Meta Meta · Big Tech · London, United Kingdom

This role is for a Lead, GBG Sales Intelligence in EMEA at Meta, focusing on sales enablement and operational efficiency for a large advertising sales team. The individual will translate data into actionable guidance, manage sales workflows, and drive the implementation of innovative programs including Business AI and Business Messaging. Key responsibilities include analyzing system performance, managing feedback loops, and ensuring compliance with global processes. The role requires 8+ years of experience, with 5 years specifically in SQL, data visualization, large dataset handling, sales operations, and integrating AI tools to optimize workflows and drive impact. Experience with ethical AI practices and ongoing AI skill development is also required.

What you'd actually do

  1. Adapt sales motions to optimize adoption and manage feature gaps, including developing playbooks for sales ICs to maximize Attributed Revenue
  2. Drive "In-Channel Execution" work streams, including Plan & Track, Pitch, and Sales AI/Automation
  3. Ensure operational readiness, manage communications, and localize GTM strategies
  4. Drive the development and implementation of innovative programs including Business AI and Business Messaging to maximize performance
  5. Monitor compliance with global processes such as goaling and segmentation

Skills

Required

  • SQL
  • Microsoft Excel
  • Data visualization using Tableau, Power BI, and Looker Studio
  • Large dataset handling and structured data analysis
  • Sales operations methodologies
  • AI solutions
  • prompt/context engineering
  • agent orchestration

Nice to have

  • consulting
  • operations
  • sales
  • product at large-scale organizations
  • Communication
  • Data & Strategy
  • evaluating data to inform strategy
  • performing analyses to drive business outcomes
  • sales funnel structure
  • pipeline management
  • account selection strategies
  • responsible, ethical AI practices
  • risk assessment
  • bias mitigation
  • quality and accuracy reviews
  • emerging AI technologies

What the JD emphasized

  • AI solutions
  • integrate AI tools to optimize/redesign workflows and drive measurable impact
  • responsible, ethical AI practices
  • ongoing AI skill development