Senior Vice President, AI / Machine Learning Data Engineer

BNY Mellon

Education
Benefits
Qualifications
Skills

BNY Mellon offers an exciting array of future-forward careers at the intersection of business, finance, and technology. We are one of the world's top asset management and banking firms that manages trillions of dollars in assets, custody and/or administration. Known as the “bank of banks” - 97% of the world’s top banks work with us as we lead and serve our customers into the new era of digital. 

With over 239 years of rich history and industry firsts, BNY Mellon has been built upon our proven ability to evolve, lead, and drive new ideas at every turn. Today, we’re approximately 50,000 employees across 35 countries with a culture that empowers you to grow, take risks, experiment and be yourself. This is what #LifeAtBNYMellon is all about. 

We’re seeking a future team member for the role of Senior Vice President, AI / Machine Learning Data Engineer to join our team! 

In this role, you’ll make an impact in the following ways: 

  • Assembling large, complex sets of data that meet non-functional and functional business requirements
  • Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
  • Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
  • Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
  • Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues

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

  • Bachelor's degree in Computer Science Engineering or a related discipline, or equivalent combination of education and work experience required
  • 10-12 years relevant experience 
  • Design & build cloud-based data lake and warehousing solution in Snowflake to enable storage and processing of data at scale
  • Experience in Apache and Python
  • Design & develop real-time/near real-time event-driven ingestion patterns using Kafka, Airflow & dBT
  • Responsible for technical design, development and documentation of solution. 

At BNY Mellon, our inclusive culture speaks for itself. Here’s a few of our awards: 

  • Fortune World’s Most Admired Companies & Top 20 for Diversity and Inclusion 
  • Bloomberg’s Gender Equality Index (GEI)
  • Human Rights Campaign Foundation, 100% score Corporate Equality Index
  • Best Places to Work for Disability Inclusion, Disability: IN – 100% score 
  • 100 Best Workplaces for Innovators, Fast Company
  • CDP’s Climate Change ‘A List’
  • Forbes Blockchain 50

Our Benefits: 

BNY Mellon 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 that can support you and your family through moments that matter. 

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

BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals With Disabilities/Protected Veterans.

Our ambition is to build the best global team – one that is representative and inclusive of the diverse talent, clients and communities we work with and serve – and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.

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Confirmed 23 hours ago. Posted 30+ days ago.

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