Data Transformation Project Manager
Role: Data Transformation Project Manager
Location: New York, NY (Hybrid)
Duration: 10 months (Possible extension/Conversion)
The Data Integration Sr Lead Analyst is responsible for overseeing daily activities that support the execution, enablement and adoption of the Data Transformation Plan and/or support of use cases through collaboration with functions, regions and lines of business. This role partners with a range of stakeholders, including senior management, and engages in cross functional collaboration to achieve outcomes.
Qualifications:
10+ years of experience, Banking or Finance industry preferred. Prior strategy consulting experience with a focus on change management and program delivery preferred
Strong business analysis competency with historic success in shaping opportunities via conceptual thinking and abstract problem-solving capabilities
Detailed understanding of Financial products specifically - Derivatives and Retail
Comprehensive knowledge of Regulatory Reporting ( e.g knowledge of Basel 3 Derivatives , Basel End Game/ SA-CCR)
Understanding of credit Risk and or counterparty Risk
Previous experience with systems highly preferred
Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status
