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Vice President, Data Transfer, Integration & Quality

BNYPittsburgh🇺🇸United StatesPosted Aug 25, 2026

Quick Overview

Seniority

Leader

Employment type

Full Time

Work mode

Hybrid

Location

Pittsburgh, United States

Posted

6 weeks ago

Compliance

Job Description

*POSITION SUMMARY:** The Vice President, Data Transfer, Integration & Quality, plays a pivotal role within the Data and Quantitative Analysis function, specifically contributing to the Data Transfer, Integration & Quality job family. This position is vital in ensuring the seamless transfer and integration of data across systems, maintaining high standards of data quality to support BNY's strategic pillars of operational excellence and innovation. By adhering to BNY's principles of integrity and collaboration, the Vice President fosters a culture of data-driven decision-making, enabling the organization to deliver superior client outcomes and drive strategic initiatives. **PRIMARY RESPONSIBILITIES:** - Lead the execution of data transfer and integration processes by applying advanced methodologies and tools to ensure accuracy and efficiency.
Develop and implement data quality frameworks that align with organizational standards and regulatory requirements.
Collaborate with cross-functional teams to identify data integration needs and provide solutions that enhance business operations.
Monitor and analyze data transfer activities to identify areas for improvement, leveraging expertise in quantitative analysis.
Ensure compliance with data governance policies by maintaining documentation and providing training to stakeholders.
Drive innovation in data processes by staying abreast of industry trends and incorporating new technologies to optimize performance. **EDUCATION/QUALIFICATIONS:** - Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field.
Advanced degree preferred. **EXPERIENCE:** Typically 5-10 years of experience. **SKILLS:** - Expertise in data integration and quality assurance methodologies.
Strong analytical and problem-solving skills with the ability to interpret complex data sets.
Excellent communication and collaboration skills to effectively work with various teams and stakeholders.

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