VP Data Quality Risk, U.S. Banks

Establish and execute consistent processes to effectively expand the Banks Data Quality Risk oversight (e.g. identification of prioritized data for the U.S. Banks). Lead data flow analysis with a solid technical understanding to assess existing data quality controls, oversee onboarding of data quality controls to DQ Control Monitoring platform, and lead fit-for-purpose attestations by partnering with Business and Technology partners. Identify business data ownership, manage cataloging of metadata into the Firmwide Data Catalog (Collibra), and control ownership among Bank Business and Technology partners. Lead the development of metrics and dashboards for periodic Senior Management updates and reporting in various forums including Banks Data Quality Risk Management Committee. Deliver updates and presentations to senior audiences in relevant committees and forums. Product owner of the DQ Control Monitoring platform, recommending enhancements, and managing implementations with the technology team. Manage Data Quality control monitoring and exception resolution process. Manage the identification and remediation of data related issues related to processes, reporting, technical issues, or controls impacting data Consumers. Team management responsibilities to oversee key Data Quality Risk processes. Strong written and verbal communication skills and ability to lead effective meetings. Strong organizational skills, attention to detail, and proven track record of project prioritization, execution, and risk management. Highly motivated, self-starter with a clear accountability & ownership mindset and ability to challenge assumptions. Sound judgment and ability to escalate project risks and issues. Advanced proficiency in Microsoft Excel, PowerPoint, Outlook, Word, Visio and other MS Office Tools. Experience with data governance and data quality tools (e.g. Collibra, Informatica). Minimum 6-8 years of experience in financial services. Bachelor's Degree required. Experience with data governance, data quality, data analysis, data lineage processes. Strong technical and analytical skills with a focus on fixing data issues at the source. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. Expected base pay rates for the role will be between $110,000 and $185,000 per year at the commencement of employment. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.