GEN AI/ML - Engineering Leader - Jersey City

Posted Yesterday
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2 Locations
Remote
72K-254K Annually
Expert/Leader
Agency • Information Technology
The Role
Lead and deliver end-to-end AI/ML and data engineering solutions for investment banking and equity markets. Architect scalable data ecosystems, drive data integration and governance, mentor teams, collaborate with stakeholders, and enable visualization and front-end experiences to support business goals.
Summary Generated by Built In

We are seeking a Senior Data and AI/ML Leader with domain expertise in investment banking or equity markets and a proven track record of driving data-driven AI solutions. This role demands a hands-on leader with deep technical proficiency in data engineering and AI/ML. The ideal candidate will demonstrate exceptional business acumen, technical leadership, and team leadership capabilities, with a focus on delivering impactful solutions in Investment banking. 

Key Responsibilities

Lead data and AI/ML initiatives tailored to investment banking or equity markets, aligning with business goals. 

Architect, implement, and optimize end-to-end AI/ML solutions designed for large-scale datasets, ensuring scalability and efficiency. 

Leverage AI techniques for data mapping and transformation, enabling seamless integration, unification, and enrichment of complex and heterogeneous datasets across diverse systems and platforms. 

Drive cross-functional collaboration, bridging technical teams and business stakeholders. 

Oversee data pipeline design, model development, and deployment with a focus on scalability and accuracy. 

Drive compliance with policies/standards (e.g., data quality) and adoption of data governance capabilities. 

Provide mentorship to teams, fostering innovation and excellence in delivery. 

Influence and drive the adoption of front-end solutions to support data visualization and user experiences. 

Qualifications

15+ years of experience, including significant domain expertise in investment banking or equity markets. 

Advanced degree in Computer Science, Data Science, or a related field. 

Extensive hands-on experience with Python, big-data frameworks, and AI/ML platforms. 

Proven expertise in designing and managing large-scale data ecosystems and leveraging AI for data integration and mapping. 

Proficiency in front-end development for data visualization or user-centric tools. 

Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data infrastructure. 

Exceptional leadership, communication, and strategic thinking skills to manage cross-functional teams and deliver impactful solutions. 

Strong ability to thrive in fast-paced and high-pressure financial environments. 


Compensation, Benefits and Duration

Minimum Compensation: USD 72,000
Maximum Compensation: USD 254,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

Skills Required

  • 15+ years of experience, including domain expertise in investment banking or equity markets
  • Advanced degree in Computer Science, Data Science, or a related field
  • Extensive hands-on experience with Python
  • Hands-on experience with big-data frameworks
  • Hands-on experience with AI/ML platforms
  • Proven expertise designing and managing large-scale data ecosystems and using AI for data integration and mapping
  • Proficiency in front-end development for data visualization or user-centric tools
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data infrastructure
  • Exceptional leadership, communication, and strategic thinking skills
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