• Act as a bridge between Product, Customer Success (CS), Support, Pre-sales, Sales, and Technology • Perform initial assessment of requests, issues, and opportunities • Organize and structure information to support the Product Manager's decision-making • Triage items (enhancements, bugs, questions, customer requests, etc.) • Prepare clear, concise summaries of requests • Support organizing and running meetings (agenda, minutes, follow-up) • Log and track requests in tools such as Azure DevOps • Manage pending items, deadlines, and request statuses • Consolidate information from different teams • Assist the Product Manager with operational routines and backlog organization • Participate in client meetings to gather context • Ensure decisions and information are properly documented

• Overseeing and managing Jabil's critical data assets, ensuring data quality, integrity, and accessibility across various systems and platforms. • Developing and implementing data governance strategies. • Managing data lifecycles and leading initiatives to optimize data utilization for business insights and operational efficiency. • Design, implement, and maintain robust data management policies, procedures, and standards in alignment with Jabil's overall data strategy. • Lead efforts in data quality assurance, including defining data quality metrics, developing cleansing processes, and monitoring data accuracy. • Oversee the entire data lifecycle, from data acquisition and storage to archiving and disposal, ensuring compliance with relevant regulations and internal policies. • Collaborate with various business units to understand data requirements and translate them into effective data solutions and models. • Manage and optimize data repositories, databases, and data warehouses, ensuring high performance, scalability, and security. • Develop and implement data governance frameworks, including data ownership, stewardship, and access controls. • Provide technical leadership and mentorship to junior data professionals. • Evaluate and recommend new data management technologies and tools to improve efficiency and effectiveness. • Participate in cross-functional projects, providing data expertise and ensuring data integration across systems. • Document data processes, data flows, and system architectures comprehensively.

• Designs, develops, programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources using machine learning and predictive modeling tools • Builds analytic models to identify and quantify solutions to business problems • Interprets and communicates insights and findings from analysis and experiments to client, service, and business managers • Determines probable future outcomes and recommends and delivers new business process improvements • Provides leadership and work guidance to less experienced personnel towards build of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets

• Build and own the analytical foundation of our direct-to-consumer automotive sales organization • Design the infrastructure, frameworks, and tooling that power our sales organization • Ensure seamless alignment in the transition from Marketing Qualified Lead (MQL) to Sales Qualified Lead (SQL) • Monitor and report on funnel conversion rates at each stage, identifying drop-off points and proactively recommending interventions to improve throughput and velocity • Lead the strategy and build-out of sales CRM tooling to support the sales organization's ability to manage, track, and engage customers throughout the active purchase journey • Build and own sales planning models that forecast funnel size, lead volume, and pipeline capacity across Consumer and Fleet channels • Design and deliver a suite of executive-level dashboards providing a clear, real-time overview of sales funnel performance, lead quality, conversion rates, and revenue forecast