Explore Head of Business Intelligence jobs and discover a pivotal leadership role at the intersection of data, strategy, and business growth. A Head of Business Intelligence is a senior executive responsible for transforming raw data into a strategic asset that drives informed decision-making across an entire organization. This professional leads the vision, architecture, and execution of the BI function, ensuring that stakeholders at all levels have access to accurate, timely, and actionable insights. Unlike purely managerial roles, this position often requires a hands-on technical leader who can both architect data systems and mentor a team of analysts and data specialists. Professionals in these jobs typically shoulder a comprehensive set of responsibilities. They own the end-to-end BI landscape, which includes overseeing the data warehouse environment, designing scalable data models, and managing robust data pipelines (ELT/ETL). A core duty is to establish and enforce data governance, ensuring high data quality, clear definitions, and proper documentation. They partner closely with C-suite executives, commercial, operational, and product teams to identify key business questions and translate them into analytical projects and KPI dashboards. Leading the development of intuitive dashboards and reports using modern BI tools (like Tableau, Power BI, or Looker) is fundamental, as is managing the delivery of both internal and external client reporting. Crucially, they build, mentor, and scale a high-performing BI or analytics team, fostering a data-driven culture. Candidates for Head of Business Intelligence jobs must possess a unique blend of deep technical expertise and strategic leadership. Typical requirements include extensive experience (often 8+ years) in BI, data analytics, or data engineering, with a proven track record of scaling data platforms in dynamic environments. Expert-level SQL skills and hands-on proficiency with cloud data warehouses (such as Snowflake, BigQuery, or Redshift) and data transformation tools are essential. They must demonstrate mastery in data visualization and dashboard design principles. On the leadership side, proven experience in managing and developing analytical talent, exceptional stakeholder management and communication skills, and a strategic, proactive mindset are non-negotiable. The ideal candidate thrives in aligning complex data capabilities with overarching business objectives, making this role critical for any data-centric organization seeking competitive advantage.
