Engineering leaders can enhance team output and align with business goals by leveraging data-driven insights to track key metrics, such as business alignment, DORA metrics, outsourced team contributions, customer satisfaction, and developer happiness. This approach allows for proactive management and quantifiable decision-making, leading to measurable improvements in efficiency and morale. While specific actions vary by leadership level, all leaders must use data to prioritize actions, align with business goals, and communicate impacts across the organization. A VP of Engineering, for instance, focuses on broad-impact data-led decisions that affect the organization and peer entities. By shifting from reactive to proactive management, engineering leaders can ensure alignment with business objectives and improve execution. Data-driven decisions also aid in vendor selection and customer satisfaction by providing objective metrics to evaluate performance and address escalations. Additionally, maintaining developer happiness is crucial, as it can be quantified through productivity and human factors, ensuring a motivated workforce.