Head of Private Markets Data & AI Analytics

Neuberger Berman

New York, Northern (NY, KY)

Hybrid

USD 175,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Medical/Dental/Vision
Retirement Plan
Life Insurance
Paid Time Off

Job summary

Neuberger Berman seeks an Analytics, Data Products & AI Lead in New York to own the analytics, AI, automation, and client-data-product layer of the Secondary Data Strategy. You will drive the intelligence layer supporting reporting and data extraction for private markets secondaries.

Lead cross-functional teams across investment, product, technology, and operations to translate complex requirements into scalable data products, automated pipelines, and decision-ready outputs while upholding

Qualifications

  • 6–9+ years in analytics, data products, or data strategy.
  • Experience applying AI/ML to unstructured data and documents.
  • Ability to design AI-enabled data pipelines with governance.
  • Knowledge of private markets data structures and reporting needs.

Responsibilities

  • Lead analytics and data product agenda for the Secondary Data Strategy.
  • Design and enhance the intelligence layer for standardized reporting and outputs.
  • Drive AI- and automation-enabled data extraction initiatives for efficiency.
  • Oversee client and RFP datasets plus data governance and quality controls.
  • Partner with investment, product, tech, data management and operations.

Skills

Analytics
Data products
Data strategy
AI/ML
NLP
OCR
SQL
Python
Stakeholder mgmt

Tools

CapIQ
PitchBook
Preqin
Bloomberg
VBA

Job description

Neuberger Berman seeks an Analytics, Data Products & AI Lead in New York to own the analytics, AI, automation, and client-data-product layer of the Secondary Data Strategy. You will drive the intelligence layer supporting reporting and data extraction for private markets secondaries.

Lead cross-functional teams across investment, product, technology, and operations to translate complex requirements into scalable data products, automated pipelines, and decision-ready outputs while upholding

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