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Databricks

Builds cloud software for data analysis and AI

Manager – Marketing Insights & Operations

Growth & MarketingConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • At least 6 years in go-to-market strategy and operations, strategy and operations, financial planning and analysis, or consulting; B2B software-as-a-service or enterprise technology experience is ideal.
  • Strong command of the B2B demand-generation funnel, including pipeline, conversion, attribution, and channel and program efficiency, as well as metrics connecting marketing activity to revenue outcomes.
  • Experience supporting senior leaders at Director or Vice President/General Manager level in business reviews, quarterly business reviews, and planning cycles, with the confidence to present a clear point of view rather than only report numbers.
  • Experience building forecasting and target-setting models, both top-down and bottom-up, including leading-indicator frameworks that predict outcomes before a quarter closes.
  • Experience designing and measuring pilots by defining hypotheses, success criteria, and measurement approaches in advance, and delivering a rigorous end-of-pilot assessment.
  • Experience with operational and process analytics, including cycle time, throughput, intake, and service-level agreement tracking, to identify and reduce process friction.
  • Working knowledge of data quality and governance, with experience identifying reporting gaps and data risks early.
  • Ability to turn complex data into concise insights, implications, and recommendations for executive audiences.
  • Ability to influence and partner across a matrixed organization, including Marketing Leadership, Campaign Operations, Marketing Systems, Sales Operations, and Finance, and experience driving self-service adoption and enablement.

Responsibilities

  • Serve as the insights partner to the Vice President/General Manager of EMEA Marketing and the leadership team, delivering analysis and narratives for business reviews, quarterly business reviews, and pipeline councils to support actionable decisions.
  • Maintain a trusted view of EMEA marketing performance across a consistent framework of marketing motions, standardizing dashboards and reporting inputs so teams share a consistent understanding of results and emerging risks.
  • Support EMEA functional target-setting, including program-, channel-, and product-level contribution, and produce forecasts for leadership and partner teams.
  • Maintain the EMEA leading-indicator framework and identify early signals that predict outcomes, enabling intervention before the quarter closes.
  • Translate performance data into insights, implications, and recommended areas of focus tied to internal milestones and cross-functional regional requirements.
  • Own EMEA execution telemetry by tracking cycle times, throughput, intake, and service-level agreement performance to reduce operational friction.
  • Increase regional self-sufficiency in accessing and using performance data by driving repeatable adoption of Genie and reducing reliance on central data teams for routine reporting and analysis.
  • Support pilot execution by defining hypotheses, success criteria, and measurement approaches before launch, then delivering a clear end-of-pilot assessment.
  • Identify successful approaches in a market or motion, document them for reuse elsewhere, and instrument them so results remain visible.
  • Support the planning cycle with analytical and programmatic inputs for investment decisions, including historical performance, efficiency by motion, and target-setting inputs.
  • Identify analytical and data risks early, including data quality issues, reporting gaps, and system performance outages, and ensure they are surfaced for resolution.
  • Represent regional needs in the global Marketing Insights function, surfacing requirements and gaps so global frameworks and tools work in-region without local workarounds.

Desired Qualifications

  • Experience in B2B software-as-a-service or enterprise technology.
  • Familiarity with AI-assisted analytics tools such as Genie.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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