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Strategy & Execution Manager

Databricks
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Londonfull-timePosted 2w ago

About the role

The Sales Strategy team works directly with Databricks’ Sales Leadership team to accelerate growth. This role serves as the business partner for the MEA leadership team under the EMEA Business Unit, driving data-driven GTM strategy, reporting, forecasting, and cross-functional collaboration to enable growth across MEA and beyond.

Responsibilities

  • Directly serve as the Strategy partner for the VP MEA & their leadership team
  • Act as the champion and challenger of the MEA leadership team
  • Independently own analysis with large datasets to gather insights & guide investment and growth
  • Own all reporting, forecasting, territory planning, and quota/productivity modelling
  • Work cross-functionally and globally with internal stakeholders, identify optimisation opportunities, and resolve business and data challenges

Qualifications

  • Strong experience in sales strategy, management consulting, and/or business development
  • Strong analytical/tools skills required, e.g. Spreadsheet/Excel, Salesforce, SQL
  • Proficiency in one or several AI tools (e.g. Genie, Claude, Gemini, ChatGPT)
  • Ability to work independently in a fast-paced environment
  • Get-it-done attitude with ability to architect high-level strategy and operationalise it
  • Collaborative with honesty, integrity and sound judgment
  • Exceptional problem-solving and analytical skills; technical with large datasets
  • Excellent spoken and written communication & presentation skills
  • French language skills are a nice-to-have

Skills

Required:Sales strategyAnalyticsSQLSalesforce
Nice to have:AI tools

Benefits

  • Comprehensive benefits and perks (region-specific details available via linked document)
Last updated Oct 15, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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