This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. The Senior Director of Data Quality & Insights Development is a strategic leader responsible for shaping and driving the Access Engineering and Operations organization's data quality strategy, insights development roadmap, and analytical excellence. This role oversees a high-performing team of developers and analysts who extract, interpret, and operationalize insights from large and complex datasets spanning multiple technology domains. The ideal candidate combines deep expertise in data management, advanced analytics, and dashboard/report development with strong leadership capabilities and a collaborative mindset. They will act as a bridge between business stakeholders and technology teams, ensuring data is accurate, consistent, accessible, and leveraged to drive confident, insight-driven decisions. They will be responsible for executive communcation and presentations, so should have a strong executive presence and ability to succinctly describe complex scenarios in straightforward language. Strategic Leadership & Vision Define and execute the department strategy for data quality, insights development, and analytical tooling. Develop a long-term roadmap for scalable insights delivery, data governance maturity, and automation of quality controls. Partner with executive stakeholders to prioritize business-critical analytics initiatives and align data efforts with organizational strategy. Data Quality Management Lead efforts to identify data integrity gaps, root-cause systemic issues, and drive cross-functional remediation. Implement automated quality monitoring, anomaly detection, and data validation frameworks. Ensure compliance with data governance, security, and regulatory requirements. Insights & Analytics Development Oversee the development of analytics products including dashboards, scorecards, exploratory analyses, and ad hoc insights packages. Guide the team in designing scalable and maintainable data models and analytical pipelines. Ensure insights are consistently accurate, timely, actionable, and aligned with business needs. Promote analytical best practices, data storytelling capabilities, and adoption of advanced analytical techniques (e.g., predictive modeling, trend analysis). Team Leadership & Coaching Lead, mentor, and grow a multidisciplinary team of developers, data analysts, and engineers. Foster a culture of curiosity, technical excellence, and high performance. Create clear career development paths and support continuous learning in analytical tools and data technologies. Drive execution accountability, project prioritization, and workload management. Cross-Functional Collaboration Serve as a senior liaison between technology, product, operations, finance, and executive leadership. Translate complex business questions into analytical frameworks and data initiatives. Ensure stakeholders have the right insights, visualizations, and metrics to drive decision-making. Partner with engineering and architecture teams to enhance data platforms, pipelines, and governance capabilities.