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Cint

Director, Business Intelligence

Cint

Director of Business Intelligence leading Cint's data evolution and strategic insights for a global organization. Empowering teams through AI-driven insights and business intelligence tools.

Posted 7/15/2026full-timeRemote • 🇩🇪 GermanyLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in defining and executing BI strategies, optimizing modern data stacks, and leading high-performing teams through organizational change. Proficient in establishing data governance standards and fostering a culture of data literacy and innovation.

Highest-signal resume keywords
BI Strategy DevelopmentModern Data Stack OptimizationTeam Leadership and MentoringData Governance and Quality StandardsStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data CatalogingKPI DefinitionExecutive-Level DashboardsData Quality StandardsAdvanced AnalyticsAI ImplementationCost-Efficiency AnalysisData Infrastructure ManagementBusiness Intelligence ToolsData Literacy Initiatives
Soft Skills
CollaborationChange ManagementCommunicationInnovationProblem-Solving
Tools & Technologies
DatabricksCloud Data StackBI PlatformsAutomation ToolsData Visualization Tools
Industry Keywords
Business IntelligenceData GovernanceData QualityData AnalyticsQuantitative Analysis

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Define and execute the BI strategy, shifting the organization from reactive reporting to a proactive, 'intelligence-first' mindset that drives faster and better business decisions.
  • Partner with senior stakeholders across Finance, Sales, Customer Experience, Trust & Safely, Marketing and Product to align the BI roadmap with global goals.
  • Define and operationalize enterprise KPIs and executive-level dashboards to ensure consistent measurement of business performance and accountability.
  • Oversee the evolution of our modern cloud data stack, ensuring it is optimized for high-performance querying, cost-efficiency, scalability and reliability.
  • Unify enterprise data models across the organization to eliminate fragmented silos and ensure a single, governed, and trusted 'Source of Truth.'
  • Maintain ownership of data cataloging, quality, and governance standards while ensuring BI platforms and data assets comply with security, privacy, and regulatory requirements across regions.
  • Establish rigorous data quality, observability, and reliability standards to build sustained trust in analytics and reporting.
  • Own vendor relationships and the BI budget, focusing on Total Cost of Ownership and Databricks compute efficiency.
  • Oversee and ensure timely delivery of month-end data while implementing automation to streamline processes and improve long-term efficiency.
  • Champion the use of AI and advanced analytics to automate insights, enhance forecasting, and surface proactive recommendations for the business.
  • Lead the transition to modern BI tools, empowering teams to explore data independently while maintaining governance.
  • Lead organizational change management and data literacy initiatives to drive adoption of self-service BI and analytics across the business.
  • Lead and mentor a global team of engineer and analyst professionals, transitioning the function from manual data processing to high-value strategic innovation.

Requirements

What you’ll need
  • Skilled at leading distributed, high-performing teams through organizational change, platform migrations, and tool modernizations, while fostering a culture of collaboration, data literacy, and innovation.
  • Proven track record of leading global BI functions within technology companies.
  • Deep understanding of modern data stacks, specifically Databricks.
  • Experience leading teams through organizational change, platform migrations, and tool deprecations.
  • Exceptional ability to translate complex data infrastructure concepts into clear business value for non-technical senior leadership.
  • Experience managing remote/distributed teams across multiple time zones.
  • Degree in a quantitative field (Mathematics, CS, Data Science) or equivalent professional experience.

Benefits

Comp & perks
  • Collaboration is our superpower
  • Success happens together
  • Innovation is in our blood
  • Our curiosity is insatiable
  • We do what we say
  • Excellence comes as standard
  • We are caring
  • Stop and listen; every opinion matters