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Vice President – Data Owner Lead

Chase

Salary not specified
Aug 14, 2025
Brooklyn, NY, USA
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Drive innovative data strategies that empower decision-making and fuel business growth within Commercial and Investment Banking, transforming data into a trusted asset and enhancing the organization's competitive edge.

Requirements

  • 6+ years of experience in data management, data governance, risk management/analytics, or a related field
  • In-depth understanding of data management principles, governance frameworks, and lifecycle management, including data protection, data quality and data classification.
  • Experience with cloud-based data platforms and technologies, such as AWS and Databricks
  • Familiarity with advanced analytics, machine learning, or artificial intelligence applications in a business context.
  • Knowledge of query or analytical programming languages

Responsibilities

  • Implement strategic plans to deliver data solutions that effectively support business operations and strategic objectives, ensuring alignment with organizational goals.
  • Collaborate with key partners to ensure that critical data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control
  • Support data analytics and products by identifying and governing data required to be integrated into analytics platforms to support analytics projects.
  • Document comprehensive requirements for data sourcing, content and quality, coordinating with technology and business partners to ensure timely, complete, and accurate data.
  • Develop and oversee processes to identify, monitor, and mitigate data risks throughout the data lifecycle, addressing issues related to data protection, retention, storage, use, and quality.
  • Communicate and resolve data issues in a timely and consistent manner, maintaining data integrity and consumer trust.
  • Manage and guide direct or matrixed staff in executing data-related tasks and initiatives.

Other

  • Proven leadership track record, demonstrated ability to manage delivery timelines, and ensure the organization is on track to meet goals
  • Strong leadership skills with experience in managing and mentoring cross-functional teams
  • Excellent analytical and problem-solving skills, translating complex data concepts into business strategies.
  • Strong communication skills, effectively conveying data concepts to technical and non-technical stakeholders, as well as senior audiences
  • Ability to build and maintain strong relationships with key stakeholders, execute and manage multiple data projects.