Looking for Head of Data Infrastructure & Analytics jobs? This senior leadership role sits at the critical intersection of data engineering, analytics, and business strategy. Professionals in this position are the architects of an organization's data ecosystem, responsible for building the reliable, scalable foundation that turns raw data into actionable intelligence. They lead the charge in transforming data from a potential liability into a core strategic asset, enabling data-driven decision-making at every level of the company. A Head of Data Infrastructure & Analytics typically oversees two key domains: the technical backbone and the analytical output. On the infrastructure side, they are accountable for designing, implementing, and maintaining robust data pipelines, warehousing solutions, and data governance frameworks. This involves ensuring data quality, reliability, and accessibility. They establish standards for data collection, storage, and processing, often implementing advanced concepts like data observability, automated monitoring, and server-side tracking to guarantee accuracy. Their core mission is to create a single source of truth that the entire organization can trust. On the analytics side, this leader manages teams of data analysts, scientists, and engineers, guiding them to derive meaningful insights that drive growth, optimize operations, and inform product development. They bridge the gap between technical teams and business stakeholders, translating complex data concepts into strategic recommendations. Common responsibilities include developing the overall data and analytics roadmap, managing budgets, setting priorities, and fostering a culture of data literacy and rigorous quality assurance. They enforce governance policies and champion best practices to ensure data integrity is never compromised for speed. Typical skills and requirements for these executive jobs are extensive. Candidates generally possess 7-10+ years of progressive experience in data fields, with a strong background in both technical architecture and analytics. Expert knowledge of modern data stack components (cloud data warehouses, ETL/ELT tools like dbt, orchestration platforms) is essential. Proficiency in SQL and scripting languages like Python is standard, alongside deep familiarity with analytics platforms and tag management systems. Crucially, they must demonstrate proven team leadership and people management skills, with the ability to mentor, grow, and scale a high-performing data organization. Excellent communication and strategic thinking are paramount, as is a relentless focus on data quality, governance, and creating tangible business impact. For those seeking to command the data landscape and empower an organization's most critical decisions, Head of Data Infrastructure & Analytics jobs represent the pinnacle of a data leadership career.
