• Provide a variety of complex data analysis, reporting and automation • Validate, organize, and analyze data to generate meaningful insights • Build scalable, flexible data models • Conduct ad-hoc analyses and present results clearly • Create insightful data visualizations and compelling data views • Communicate with stakeholders in a professional manner • Work in a large, enterprise environment with cross functional teams

• Create and maintain a shared data definition for key business and product concepts to ensure alignment between Engineering and business teams. • Document and socialize metric definitions, entity definitions, and core logic. • Document each dataset and its purpose. Capture key metadata: primary identifiers, join keys, refresh cadence, source system/vendor, and known limitations. • Support critical dashboards and the underlying data models by confirming data flows, identifying nuances, and validating logic with Engineering. • Create and maintain dashboards that monitor metrics across third-party products/vendors. • Assist with UAT by creating comparison queries, validating outputs across systems, and investigating discrepancies. • Inventory existing datasets and group them into clear subject areas (e.g., applications, servicing, marketing). • Partner with Product to convert repeat ad-hoc questions into reusable reporting (tables, views, dashboards).

• Use data analytics, automation techniques and AI to increase efficiency and effectiveness in the SOX program execution (e.g., risk assessments, testing, fraud risk detection, deficiency analysis), program analytics/monitoring as well advise the business control owners on mechanisms to automate controls. • Develop, Build and Lead the SOX Data Analytics and AI program • Create SOX Data Analytics and AI program framework and policy/standards • Work closely with the SOX team and cross-functional stakeholders to translate business objectives into technical specifications for data analytics and automation projects. This includes understanding the SOX business need, identifying technical requirements and bridging the gap between complex data and systems, business needs and internal control requirements. • Lead the integration of AI and Automation tools to enhance testing efficiency. Develop and deploy automated continuous control monitoring solutions to provide comprehensive coverage of high-risk areas, shifting from point-in-time assurance to continuous assurance • Design and implement automated data pipelines, build SQL queries and data extraction scripts for evidence retrieval and control testing, reducing manual intervention • Collaborate with business stakeholders and EPD teams to design and implement integrated solutions that meet business and internal control requirements. • Identify opportunities for process improvement through automation within the internal control environment. • Partner with other Data Analytics teams across the three lines of defense to drive cross-functional data analytics projects, such as the build out of a shared data warehouse and code library, and harmonize risk and control reporting across. • Establish internal policies, procedures and standards for the deployment and use of Automation and AI within the internal control environment. • Collaborate with the SOX Sr Director, SOX Sr Program Manager, SOX IT Testing Lead and other SOX Leads to identify reporting needs, develop and implement dashboards, including the monitoring of SOX Program (e.g., Audit Status, Issue Trends, Resourcing, Budgeting) • Key management consultant, and internal controls expert in building and maintaining ongoing relationships with the various lines of business included in the company's SOX process. • Responsibilities also include the following: 1) adhering to and complying with all applicable, federal and state laws, regulations and guidance 2) adhering to company policies and procedures, 3) completing required training. • Support other assignment and ad hoc matters as required

• Design intuitive, interactive, and impactful Tableau dashboards that provide stakeholders with actionable insights and track key performance indicators (KPIs) • Partner with cross-departmental stakeholders to deeply understand business requirements and translate them into visual analytics solutions that inform strategic decisions • Update, improve, and troubleshoot existing Tableau dashboards based on user feedback and evolving business needs • Lead the strategic migration of legacy Google Sheets reporting into Tableau • Analyze data from various sources to identify trends, patterns, and anomalies • Ensure rigorous data validation and QA processes to guarantee accuracy and reliability • Work with the Data Analytics Architect to develop performant, scalable dashboards • Manage users, permissions, and folder structures within Tableau Cloud • Identify and implement process, data, and reporting improvements across the organization • Provide end-user training and ongoing support to help stakeholders interpret visualizations and drive informed decisions