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Vice President, Data Transfer, Integration & Quality

BNYPittsburgh, Pennsylvania🇺🇸United StatesPosted Aug 30, 2026

Quick Overview

Seniority
Leader
Employment type
Full Time
Work mode
Hybrid
Location
Pittsburgh, Pennsylvania, United States
GCPSQLAWSETLAzureComplianceContinuous ImprovementData PrivacyRegulatory ReportingStakeholder Management

Job Description

BNY seeks a Vice President, Data Transfer, Integration & Quality to lead enterprise data strategy across global finance platforms. In this leadership role, you will design and govern secure, high quality data flows supporting custody, trading, risk, and regulatory reporting. You will own data quality frameworks, standards, and controls, integrating legacy and cloud platforms while ensuring compliance with data privacy and regulatory requirements. Partnering with technology and business teams worldwide, you'll drive innovation in data tools and automation, mentor a high performing team, and advance BNY's data driven financial services vision.

Responsibilities

  • Lead enterprise data transfer, integration, and quality strategy across BNY's global finance platforms
  • Design and govern data pipelines supporting trading, custody, risk, and regulatory reporting
  • Partner with technology and business stakeholders to define data standards, taxonomies, and SLAs
  • Implement data quality frameworks, controls, and monitoring to reduce risk and ensure accuracy
  • Oversee integration of legacy and cloud data platforms, APIs, and third party feeds
  • Manage a high-performing global team, driving best practices, mentoring, and continuous improvement
  • Ensure compliance with data privacy, security, and regulatory requirements in all data flows
  • Use analytics and metadata to optimize data performance, lineage, and client reporting
  • Champion data governance, documentation, and stewardship across business units
  • Drive innovation in data tools, automation, and architecture to support new financial products

Required Skills

  • Enterprise data architecture
  • ETL/ELT development
  • Data integration (APIs, messaging, batch)
  • Data quality frameworks and tools
  • Data governance and metadata management
  • SQL and relational databases
  • Cloud data platforms (e.g., AWS, Azure, GCP)
  • Financial services and securities operations knowledge
  • Regulatory and risk data management
  • Leadership and stakeholder management

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