William Casey Email and Phone Number

• Drove data ecosystem modernization and the adoption of cloud-based analytic platforms,significantly reducing time-to-market from months to mere hours for business-critical processes.• Led a team of product management leaders in the creation and definition of financial services dataproducts actively used by Northwestern Mutual financial advisors and their clients.• Developed a strategic roadmap in collaboration with senior business leaders, proactively addressingbusiness needs through data products and aligning them with the organization's broader data strategy.

• Developed and executed the Enterprise Information Security Data Product Strategy and Roadmap,collaborating with Chief Data Officers and CIOs across Security, Operations and Lines of Business.• Led Information Security functions for Data Science, Cyber Development, Security InformationEvent Management, and Event Detection, optimizing overall security capabilities.• Engineered and operated a petabyte-scale Data Lake for Security, successfully adopted as theEnterprise Technology Data Lake for Security and Operations functions.• Spearheaded cloud transformation and DevSecOps adoption in security analytics and engineering,expanding operational scope by a factor of 15 while maintaining cost efficiency.• Orchestrated the transformation of on-premise focused security functions to public cloud-centriccontrols, ensuring observability, configuration, logging, and monitoring for Azure, AWS, GCP, andSaaS workloads.• Architected and led the development of internal applications and data products for User and EntityBehavior Analytics (UEBA), Phishing, Anomaly Detection, and Incident Severity.• Coached a leader in building the Cyber Development function, overseeing the development ofinternal products for application logging, data stream processing, a Cyber Big Data Lake, and cloudSIEM migration.• Managed an annual budget exceeding $8M, encompassing labor, capital, licenses, and Statements ofWork (SOW).

• Established an industry-leading big data capability from scratch, driving a data-focused approach tocybersecurity at a petabyte scale.• Developed insider threat detection models resulting in a notable 25% increase in 3rd partycybersecurity maturity scores.• Built and led a high-impact data science and data engineering team, providing big data solutionsthrough Hadoop, Splunk, R, and other tools. These solutions interfaced with custom-developedin-house tools, benefiting over 1,000 security and operations team members.• Delivered frequent external customer-facing presentations, effectively positioning Citi's cyber datacapabilities as a key differentiator in the financial services industry.• Created data science models that successfully detected "unknown unknown" advanced persistentthreats from state actors, preventing potential damages in the millions.

• Led a technical team in the successful conversion from Teradata/SQL to a Hadoop/Hive/Pigenvironment, ensuring the seamless transition of scripts and uninterrupted reporting processes.• Consulted multiple business units and established frameworks for link analysis for risk events,securing support from stakeholders in Legal, Compliance, Business, and Risk.• Projected the business impact of external and internal threats, tracking impacts from compromise through fraud monetization.• Incorporated advanced data mining techniques, including machine learning, Markov chains, andrandom forest, to analyze multiple structured and unstructured data streams for risk investigation.• Established an enterprise-wide knowledge-sharing site for scripting and coding best practices,fostering the adoption of new analytic techniques across the organization.

• Innovated and developed novel data products and analyses focusing on micro- andmacro-economic trends, GIS populations, retail expenditures, and unstructured survey data,contributing to the construction of the Consumer Price Index (CPI) "market basket."• Orchestrated the management of cross-functional data inputs from four Census and Bureau ofLabor Statistics (BLS)-administered surveys, streamlining processes and consolidating data inSybase, SAS, and Unix environments.• Collaborated with CPI customers across academia, government, and private industry to developanalytic products, aligning the CPI with evolving needs.• Engineered an automated statistical framework, effectively identifying and addressing data qualityissues within survey data, ensuring the reliability and accuracy of CPI-related analyses.• Recognized as an industry expert, delivered keynote speeches at prestigious events, including theConsumer Expenditures conference, showcasing thought leadership and elevating the visibility ofthe organization.