Senior Vice President, AI / Machine Learning Data Engineer

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    "ExternalDescriptionStr": "<p>&nbsp;</p><p>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.</p><p>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.</p><p><span style=\"color: black; font-family: Calibri, sans-serif;\"><span style=\"font-size: 12pt;\">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.&nbsp;</span></span></p><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span style=\"font-size: 12pt;\">&nbsp;</span></span></p><p style=\"line-height: normal;\"><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span style=\"font-size: 12pt;\">In this role, you’ll make an impact in the following ways:</span></span></p><ul style=\"list-style-type: disc;\"><li><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span lang=\"EN-GB\" style=\"font-size: 12pt; line-height: 107%;\">Design, build, and optimize batch and streaming data pipelines that deliver high-quality, governed data to AI, analytics, and enterprise platforms.</span></span></li><li><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span lang=\"EN-GB\" style=\"font-size: 12pt; line-height: 107%;\">Develop scalable transformation frameworks across cloud and lakehouse environments with a strong focus on reliability, performance, and cost efficiency.</span></span></li><li><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span lang=\"EN-GB\" style=\"font-size: 12pt; line-height: 107%;\">Implement data modeling, schema design, lineage, metadata, and data quality controls to create trusted, reusable data assets.</span></span></li><li><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span lang=\"EN-GB\" style=\"font-size: 12pt; line-height: 107%;\">Build and support orchestration and workflow automation for complex pipelines and dependencies using modern data engineering tools.</span></span></li><li><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span lang=\"EN-GB\" style=\"font-size: 12pt; line-height: 107%;\">Partner with analytics, AI, business, and technology teams to translate requirements into scalable, secure, and governed data solutions.</span></span></li><li><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span lang=\"EN-GB\" style=\"font-size: 12pt; line-height: 107%;\">Resolve complex platform and pipeline issues related to performance, reliability, integration, and data quality.</span></span></li><li><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span lang=\"EN-GB\" style=\"font-size: 12pt; line-height: 107%;\">Promote engineering best practices in distributed processing, testing, monitoring, security, and continuous improvement.</span></span></li><li><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span lang=\"EN-GB\" style=\"font-size: 12pt; line-height: 107%;\">Provide technical leadership and mentoring while contributing to the adoption of modern data engineering and lakehouse capabilities.</span></span></li></ul><p style=\"line-height: normal;\">&nbsp;</p><p style=\"line-height: normal;\"><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span style=\"font-size: 12pt;\">To be successful in this role, we’re seeking the following:</span></span></p><ul style=\"list-style-type: disc;\"><li><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span lang=\"EN-GB\" style=\"font-size: 12pt; line-height: 107%;\">Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.</span></span></li><li><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span lang=\"EN-GB\" style=\"font-size: 12pt; line-height: 107%;\">9–11 years of experience in software development and data engineering; financial services experience is a plus.</span></span></li><li><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span lang=\"EN-GB\" style=\"font-size: 12pt; line-height: 107%;\">Strong experience building large-scale batch and streaming data pipelines and backend data environments.</span></span></li><li><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span lang=\"EN-GB\" style=\"font-size: 12pt; line-height: 107%;\">Deep expertise in Spark/Databricks, Kafka, SQL, and orchestration tools such as Airflow and/or dbt.</span></span></li><li><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span lang=\"EN-GB\" style=\"font-size: 12pt; line-height: 107%;\">Strong understanding of cloud and lakehouse architectures, distributed processing, and storage formats such as Parquet and Delta.</span></span></li><li><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span lang=\"EN-GB\" style=\"font-size: 12pt; line-height: 107%;\">Experience with data modeling, schema design, lineage, metadata, and data quality frameworks.</span></span></li><li><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span lang=\"EN-GB\" style=\"font-size: 12pt; line-height: 107%;\">Proven ability to improve performance, scalability, reliability, cost efficiency, and governance across data platforms.</span></span></li><li><span style=\"font-family: &quot;Times New Roman&quot;, serif;\"><span lang=\"EN-GB\" style=\"font-size: 12pt; line-height: 107%;\">Strong stakeholder management, problem-solving, and technical leadership skills, including mentoring engineers and leading complex delivery.</span></span></li></ul><p>&nbsp;</p><p>At BNY, our culture speaks for itself, check out the latest BNY news at:</p><p><a target=\"_blank\" rel=\"nofollow\">BNY Newsroom</a></p><p><a target=\"_blank\" rel=\"nofollow\">BNY LinkedIn</a></p><p>Here’s a few of our recent awards:</p><p>America’s Most Innovative Companies, Fortune, 2025</p><p>World’s Most Admired Companies, Fortune 2025</p><p>“Most Just Companies”, Just Capital and CNBC, 2025</p><p>Our Benefits and Rewards:</p><p>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.</p><p>BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.<br>&nbsp;</p><p>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.&nbsp;</p><p>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.</p>",
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