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Lead, GBG Sales Intelligence - EMEA

Job in City of Westminster, Central London, Greater London, England, UK
Listing for: Meta
Full Time position
Listed on 2026-05-15
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: City of Westminster

Sales Intelligence is a dedicated, centralized in‑channel team driving sales enablement, operational prowess, and strategic alignment with Sales and Marketing Intelligence and Global Business Group priorities.

As the Regional Sales Intelligence Individual Contributor, you will support the Regional Vice President of the large advertising sales team and their direct reports by translating raw data and complex tools into actionable guidance that enables the frontline to operate with peak efficiency.

You will succeed in this role if you are a highly strategic, quantitative, process and detail-oriented business leader. 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.

Lead, GBG Sales Intelligence - EMEA Responsibilities:

In-Channel Activation & Workflow Updates Adapt sales motions to optimize adoption and manage feature gaps, including developing playbooks for sales ICs to maximize Attributed Revenue Drive "In-Channel Execution" work streams, including Plan & Track, Pitch, and Sales AI/Automation Ensure operational readiness, manage communications, and localize GTM 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 Sale Operations 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 Attributed Revenue and ROIManage 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 Deploy OPEX funds at the beginning of the year based on strategic direction

Minimum Qualifications:

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

Experience must include 5 years in the following:

SQL and Microsoft Excel for structured data querying, analysis, and reporting, Data visualization using Tableau, Power BI, and Looker Studio, Large dataset handling and structured data analysis, Sales operations methodologies, including sales funnel structure, pipeline management, and account selection strategies and, AI solutions

Preferred Qualifications:

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)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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