Vice President, Data Management Engineer

BNY Mellon; New York (NY); On-site; USD 180,000 - 280,000; Full time

Job summary

BNY Mellon is seeking a Vice President, Data Management Engineer in New York, NY. The role focuses on data ownership partnerships, modeling, and governance to deliver high-performance data solutions across environments.

The successful candidate will design data models, ensure data quality, and lead data stewardship while leveraging Snowflake, Spark, and AI/ML techniques to solve complex data challenges.

Qualifications

• Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required.
• 6-10 years of experience in software development required; experience in the securities or financial services industry is a plus.
• Strong understanding of big data technology stack such as Snowflake.
• Python expert, SQL with Data Engineering capabilities.
• Proven experience with RDBMS like Oracle.
• Proven experience implementing AI/ML based data solutions to solve complex data management problems.
• Ability to demonstrate work on real world projects with AI, ETL tools like Apache Airflow, RESTful API design and development, Power BI, GitLab CI/CD, and Jira.
• Design and develop scalable data processing workflows using Pyspark and Python.
• Write complex and performance optimized SQL queries.
• Perform data extraction, transformation and loading (ETL).
• Troubleshoot and optimize Spark jobs for performance and stability.
• Work with large datasets and ensure data quality and reliability.
• Collaborate with cross-functional teams for requirements understanding and delivery.
• Follow coding standards, best practices, and documentation.

Responsibilities

• Establish partnerships with source system data owners and reporting teams to document data requirements and understand data scope and definitions.
• Develop conceptual, logical and first-cut physical data models; create data model documentation with entity/attribute definitions.
• Assist in logical data designs to deliver stable, high-performance data solutions and reconcile data discrepancies.
• Maintain data dictionaries across multiple environments (mainframe, distributed systems).
• Plan and conduct moderate data warehouse tests; liaise with data owners for data stewardship.
• Analyze and design data models, logical databases and relational definitions using forward/backward engineering.
• Promote data sharing and reduce redundant data processes by identifying common structures.
• Ensure adherence to data quality standards and identify root causes of data quality issues.
• Demonstrate ability to work on real-world projects with AI/ML data solutions and ETL tooling.

Skills

Data management

Data modeling

Metadata analysis

Python

SQL

Spark

ETL

AI/ML

REST API

Power BI

Snowflake

GitLab CI/CD

JIRA

Pyspark

Education

Bachelor's degree in computer science or related discipline

Tools

Snowflake

Apache Airflow

Power BI

RESTful API design

GitLab CI/CD

JIRA

Job description

Vice President, Data Management Engineer

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 and champions of inclusion, 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 for the role of Vice President, Data Management Engineer to join our Conventional Trust team. This role is in New York, NY

In this role, you'll have the opportunity to impact our organization in the following ways:

• Establish partnerships with source system data owners and reporting team (data users) to understand and document requirements related to the use and gain an understanding of the data, including scope of data, limitations, attribute definitions, and linkages to other datasets.


• Strong Data Management, Data Modeling and Metadata Analysis skills.


• Analyzes application requirements and develops conceptual, logical and first-cut physical database designs (data models). Creates associated data model documentation such as entity and attribute definitions and formats.


• Assists in logical data designs to deliver stable and flexible high performance data solutions. Investigates and corrects data discrepancies by reconciling faulty codes.


• Provides data element naming consistent with standards and conventions and ensures that data dictionaries are maintained across multiple database environments (mainframe, distributed systems).


• Ensures data content/quality by planning and conducting moderately complex data warehouse system tests, monitoring test results and taking required corrective action. Acts as a liaison to data owners to establish necessary data stewardship responsibilities (accountability for a particular data element/verifying accuracy of the data element before loading it into the database) and procedures.


• Analyzes and designs data models, logical databases and relational database definitions using both forward and backward engineering techniques.


• Seeks opportunities to promote data sharing, and to reduce redundant data processes within the corporation by identifying common structures across application areas.


• Ensure adherence to data quality standards.


• Determine root cause for data quality errors and make recommendations for long-term solutions.


• Good to have knowledge on Procurement, Third-party governance and vendor data.

To be successful in this role, we're seeking the following:

• Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required


• 6-10 years of experience in software development required; experience in the securities or financial services industry is a plus


• The candidate should have strong understanding of big data technology stack such as Snowflake.


• The candidate should have a Python expert, SQL with Data Engineering capabilities.


• The candidate should have proven experience with RDBMS like Oracle.


• The candidate should have proven experience implementing AI/ML based data solutions to solve complex data management problems


• The candidate should be able to demonstrate their work on real world projects with nice-to-have Skills AI, ETL tools like Apache airflow , Restful API design and development, Reporting/BI tool such as Microsoft Power BI , GIT Lab CICD and JIRA.


• Design and develop scalable data processing workflows using Pyspark and Python


• Write complex and performance optimized SQL queries


• Perform data extraction, transformation and loading (ETL)


• Troubleshoot and optimize Spark jobs for performance and stability


• Work with large datasets and ensure data quality and reliability


• Collaborate with cross-functional teams for requirements understanding and delivery


• Follow coding standards, best practices, and documentation

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.