Vice President, Data Management & Quantitative Analysis

RiseMe; Pittsburgh (Allegheny County); On-site; USD 180,000 - 275,000; Full time

Job summary

BNY Mellon in Pittsburgh seeks a Vice President of Data Management & Quantitative Analysis to lead metadata governance, data models, and lineage initiatives within Data Solutions & Services. You will partner with technology and business teams to implement enterprise data strategy and enable AI/ML driven outcomes.

The role requires leadership across a global team, setting metadata standards, driving data quality, and building scalable metadata repositories.

Qualifications

• Bachelor's degree in data science, statistics, computer science, or related field.
• 5–10 years in data modelling/warehousing with relevant management experience.
• Experience in securities or financial services is a plus.
• Hands-on data and metadata management from concept to delivery.
• Strong stakeholder management and multi-priority capability; Agile/scrum familiarity.
• Proven leadership across a global team; willingness to roll up sleeves.
• Collibra implementation experience desirable.

Responsibilities

• Ensure metadata quality, integrity, and governance across data landscape.
• Set and maintain metadata standards for governance, lineage, and management.
• Support development of a metadata management strategy aligned with data objectives.
• Collaborate with tech and business partners to enforce standards.
• Lead design of data models and logical databases at element level.
• Design and implement metadata repositories and tools.
• Coordinate with data owners, stewards, and IT to collect requirements.
• Support data lineage and impact analysis with accurate mappings.

Skills

Data modelling

Data warehousing

Stakeholder management

Agile / Scrum

Leadership

Collibra

Metadata management

Regulatory domain knowledge

Education

Bachelor's in Data Science/Computer Science

Advanced degree preferred

Tools

Collibra

Job description

Vice President, Data Management & Quantitative Analysis:

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

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.

At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn

Here’s a few of our recent awards:

• America’s Most Innovative Companies, Fortune, 2025
• World’s Most Admired Companies, Fortune 2025
• “Most Just Companies”, Just Capital and CNBC, 2025

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 is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

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.