As an Engineering Manager in QA at a large multinational corporation with 115 million users daily, I led the Data – Business Intelligence (BI) team. My role focused on maintaining robust data infrastructure, fostering cross-functional collaboration, and leveraging data to drive product development and strategic decisions.
I managed a team of data engineers, analysts, and BI specialists, ensuring effective communication, goal alignment, and performance growth. I oversaw the optimization of data systems, implementing best practices for data warehousing, ETL processes, and data integration to ensure reliability, scalability, and security. Regular audits and automated checks maintained data quality and integrity.
Collaboration with product teams was essential to understand their data needs and deliver actionable insights. This cross-functional approach helped prioritize data projects and align them with business objectives, promoting a data-driven culture within the organization.
My team developed and maintained comprehensive BI dashboards and reports, using advanced analytics to uncover trends and inform strategic decisions. We conducted regular data analysis to monitor product performance and user behavior, providing actionable recommendations.
Driving data-driven decisions was a key aspect of my role. I enabled product teams to leverage data and metrics for optimizing development cycles and supporting experiments. Collaborating with leadership to define and track key performance indicators ensured alignment with organizational goals.
Process improvement and automation were integral to our operations. I identified opportunities for efficiency enhancements, implemented automation solutions, and enforced data governance policies. Integrating CI/CD pipelines facilitated timely deployment of data solutions.
Effective stakeholder communication was crucial. I served as the primary point of contact for data-related inquiries, providing regular updates and facilitating workshops to promote data literacy. This role underscored the importance of data in business, highlighting the need for effective leadership, collaboration, and continuous improvement.