Vice President, Data Management & Quantitative Analysis

BNY Mellon

• $150K — $180K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field; advanced degree preferred.
  • 5-10 years of experience in data modeling/warehousing with management experience; experience in securities or financial services preferred.
  • Experience in Risk, Compliance, and Financial domains; knowledge of Regulatory reporting is a plus.
  • Hands-on experience in Data and Metadata Management, from concept to implementation.
  • Strong stakeholder management and people skills, able to manage multiple priorities under pressure.
  • Proven people leadership abilities with experience in inspiring and leading global teams; must be a team player.
  • Familiarity with Collibra implementation is desirable.

Responsibilities

  • Ensure the quality, integrity, and governance of metadata across the organization.
  • Define, implement, and maintain metadata standards and practices for data governance and management.
  • Create a comprehensive metadata management strategy aligned with data governance objectives.
  • Partner with business and technology teams to ensure adherence to metadata standards and consistency across data systems.
  • Guide the analysis and design of data models at the data element level consistent with corporate architecture.
  • Support the design and implementation of metadata repositories and tools.
  • Collaborate with stakeholders to gather metadata requirements and align with business objectives.
  • Ensure accuracy and completeness of metadata documentation and lineage mappings.

Benefits

  • Flexible global resources and tools for personal and professional growth.
  • Focus on health and financial goals as part of a well-being program.
  • Generous paid leaves, including volunteer time.
  • Access to a 401(k) plan and participation in medical, dental, vision, and basic life insurance plans.
Full Job Description
Job Description

Vice President, Data Management & Quantitative Analysis:

We're seeking a future team member in the role of Vice President, Data Management & Quantitative Analysis to join our Data Solutions and Services team. This role is in Pittsburgh, Pennsylvania.

Data Solutions & Services is focused on implementing enterprise data & governance, delivering the firm's master data strategy, driving holistic access to data via our Lake, and enabling the business to deliver advanced outcomes for ourselves and our customers using AI/ML techniques.

In this role, you'll make an impact in the following ways:
  • Ensuring the quality, integrity, and governance of metadata across the organization's data landscape.
  • Be a strategic partner in a team responsible for defining, implementing, and maintaining metadata standards and practices to support data governance, data lineage, and data management activities.
  • Support the creation of a comprehensive metadata management strategy aligned with the organizations data governance and data management objectives.
  • Partner with technology and business partners to adhere to metadata standards, policies, and procedures to ensure consistency, accuracy, and completeness of metadata across various data domains and systems.
  • Direct and provides guidance on the analysis and design of data models and logical databases at the data element level consistent with the corporate architectural models.
  • Support the design and implementation of metadata repositories and tools to capture, store, and management metadata effectively.
  • Collaborate with stakeholders across the organization, including data owners, data stewards, and IT teams, to gather metadata requirements and ensure alignment with business objectives.
  • Support data lineage and impact analysis activities by ensuring the accuracy and completeness of metadata documentation and lineage mappings.

To be successful in this role, we're seeking the following:
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. - Advanced degree preferred., or equivalent work experience required.
  • 5 - 10 years of experience in data modelling/warehousing with related management experience, experience in the securities or financial services industry is a plus.
  • Risk, Compliance and Financial domain experience and/or experience working on Regulatory reporting is a plus.
  • Experienced hands-on Data and Metadata Management, from concept to implementation with a demonstrable track record of delivery.
  • Strong stakeholder management and people skills, and the ability to manage multiple competing priorities under pressure. You will have strong analytical and management skills, are familiar with Agile methodology and played an active role in scrums such as backlog refinement, sprint planning and execution. The ability to apply backlog prioritization to define sprint goals and enable iterative deliveries is key.
  • People Leadership, be able to inspire and build momentum across a global team but you are also a team player, happy to roll up your sleeves when needed.
  • Collibra implementation experience is desirable.


About the Team

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting.

Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee's eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, the employee will be in an "at will" position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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