ISG Management - Data Group Company Profile Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. #LI-NH1 Department Profile ISG has created an ISG Data Group (IDG) to provide single point of accountability for the full spectrum of data related commercial initiatives. This ranges from the defensive risk reduction aspects of data security (both internal and external), through operational efficiency from improving data quality, to helping enhance revenue through further leveraging our data assets for providing services to our clients. The ISG Divisional Data Office (DDO) is part of IDG and is responsible for the oversight and integrity of the data used for senior management, regulatory or client reporting, or used by internal controls. Using a risk-based prioritization methodology, the team is responsible for working with control groups to prioritize key data which may require improvements in the controls to ensure integrity of that data. Position Description Morgan Stanley is seeking a Vice President who will drive progress across complex, multi-stakeholder environments, ensuring alignment and momentum even when priorities compete. The ideal candidate will be comfortable with managing end-to-end processes across multiple internal systems and tooling, translating stakeholder needs into actionable requirements for technology teams, and designing solutions in ambiguous contexts.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees