• Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities. • Define and execute the vision for data analytics, ensuring alignment with company goals and objectives. • Provide thought leadership by collaborating with Product, Engineering, Marketing, and Operations to translate complex business problems into scalable analytical frameworks. • Recommend and implement actionable insights that drive measurable results and optimize key business metrics. • Serve as the organization’s subject matter expert on advanced statistical analysis, experimental design, methodology, and financial impact analysis, ensuring best practices are followed. • Guide the team in executing A/B testing strategies, data modeling, and predictive analytics to inform decision-making. • Lead root cause analyses for critical business metrics, crafting structured approaches to identify and address key drivers. Facilitate discussions with senior stakeholders and teams to prioritize and implement optimization strategies that drive efficiency and growth. • Architect and implement automation solutions for analytical processes, including experimentation readouts and self-service analytics, improving scalability and efficiency. • Drive innovation in reporting and data accessibility to empower stakeholders with real-time insights. • Lead the development of high-quality data product requirements, dashboard scopes, and automated reporting solutions. • Build strong partnerships with Data Engineering, Business Intelligence, and other data stakeholders to enhance data infrastructure and accessibility. • Partner with Business Intelligence engineering teams to drive both immediate data initiatives and the long-term vision for data-driven reporting and metric frameworks. • Advocate for the adoption of best-in-class analytics tools, methodologies, and governance practices. • Independently identify opportunities for improvement or growth, initiate projects, and lead them to successful outcomes with measurable impact. • Establish and refine analytical processes to ensure consistency, accuracy, and scalability across the organization. • Deliver compelling presentations to cross-functional teams and executive leadership, showcasing data-driven insights with clarity and precision. • Effectively communicate complex analytical findings in a way that drives strategic decision-making and organizational alignment. • Supervise a team of Staff Engineers, Staff/Sr. Data Analysts, and Capacity Planning Sr. Manager. • Telecommuting permitted pursuant to company policy.

• Provide high-quality instruction from a pre-designed curriculum • Mentor doctoral learners and participate in doctoral committees • Utilize online learning platform to enrich the learning experience • Be available within 48 hours to ensure learners receive quality feedback • Travel within the US to participate in doctoral residencies • Establish high standards and ensure learners understand evaluation criteria • Attend faculty meetings, workshops, and training as required

• Manage and optimize GPU capacity and other compute resources across various cloud service providers • Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics • Analyze the technical and business needs for GPU capacity and other compute resources • Identify performance bottlenecks in day-to-day usage of compute resources and collaborate to resolve them • Drive infrastructure resource efficiency initiatives in partnership with engineering, finance, and product teams • Develop and enhance tooling for our cloud infrastructure and analytics platform to optimize resource usage and performance • Partner and cross-collaborate with Finance, Product, Service Owners, and Infrastructure Engineering teams

• Work with data producers to produce high quality metadata for Data Platform assets • Determine and document data classification types for tables/fields • Use the Atlan data cataloging tool to enrich and organize metadata • Document lineages, classifications, and privacy controls according to company/governmental standards • Collaborate with multiple teams to uncover and document metadata information • Determine and document ownership over data assets and flows and work with Data Stewards to present this information to leadership and other teams in a clear and accessible manner • Review incoming data assets to make sure they meet Data Platform standards