Senior Vice President, AI / Machine Learning Data Engineer
Bank of New York Mellon
Jersey City, NJ · Posted June 2, 2026
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Where Jersey City, NJ ranks
Where Jersey City, NJ placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #2Best all-round cities for mid-career professionals in the Northeast69 / 100 · of 26
- #5Best cities for entry-level jobs that want AI skills in the Mid-Atlantic10% · of 62
- #5Best all-round cities for AI careers in the Northeast79 / 100 · of 26
- #6Best cities for AI-skill jobs in the Northeast16% · of 70
- #6Best all-round cities for AI careers in the Mid-Atlantic83 / 100 · of 37
- #7Best cities for AI-skill jobs in the Mid-Atlantic16% · of 85
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
How AI is used in this kind of work
Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
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.
In this role you will Build robust batch/streaming data pipelines and transformations that ensure high‑quality, governed data flows into AI and analytics platforms. Implement data modeling, quality checks, lineage/metadata, performance optimization, and reliable orchestration across cloud and Lakehouse environments. The position is located in Jersey City, NJ.
In this role, you’ll make an impact in the following ways:
Design, build, and optimize batch and streaming data pipelines that deliver high-quality, governed data to AI, analytics, and enterprise platforms.
Develop scalable transformation frameworks across cloud and lakehouse environments with a strong focus on reliability, performance, and cost efficiency.
Implement data modeling, schema design, lineage, metadata, and data quality controls to create trusted, reusable data assets.
Build and support orchestration and workflow automation for complex pipelines and dependencies using modern data engineering tools.
Partner with analytics, AI, business, and technology teams to translate requirements into scalable, secure, and governed data solutions.
Resolve complex platform and pipeline issues related to performance, reliability, integration, and data quality.
Promote engineering best practices in distributed processing, testing, monitoring, security, and continuous improvement.
Provide technical leadership and mentoring while contributing to the adoption of modern data engineering and lakehouse capabilities.
To be successful in this role, we’re seeking the following:
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
9–11 years of experience in software development and data engineering; financial services experience is a plus.
Strong experience building large-scale batch and streaming data pipelines and backend data environments.
Deep expertise in Spark/Databricks, Kafka, SQL, and orchestration tools such as Airflow and/or dbt.
Strong understanding of cloud and lakehouse architectures, distributed processing, and storage formats such as Parquet and Delta.
Experience with data modeling, schema design, lineage, metadata, and data quality frameworks.
Proven ability to improve performance, scalability, reliability, cost efficiency, and governance across data platforms.
Strong stakeholder management, problem-solving, and technical leadership skills, including mentoring engineers and leading complex delivery.
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 base salary for this position is expected to be between $126,000 and $210,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.