Senior VP Data Science & AI Strategy Lead

BNY

Boston (MA)

On-site

USD 150,000 - 210,000

Full time

13 days ago
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Job summary

BNY is seeking a Data Science Manager, Revenue Analytics in Asset Servicing to lead initiatives in data science, NLP, and content governance. The role focuses on transforming proposals, due diligence content, and related artifacts into a scalable, governed content ecosystem that improves quality, speed, and reuse across client opportunities.

The position requires leadership in applied AI, retrieval, and language quality analytics, with strong collaboration across sales, product, and controls

Qualifications

  • Bachelor's degree or equivalent; relevant experience preferred.
  • Extensive experience in data science, NLP, knowledge engineering, content operations, or related roles.
  • Experience with large-scale unstructured text data and enterprise content libraries.
  • Expertise in NLP techniques: semantic search, embeddings, similarity scoring, classification, clustering, summarization, NER, information extraction.
  • Ability to balance technical accuracy with clear client-facing communication.

Responsibilities

  • Lead transformation of proposal knowledge base to improve first-draft quality and speed.
  • Design scalable content governance for reusable assets (Q&A, modules, product descriptions).
  • Develop methods to organize content with clear technical, operational, risk, and control messaging.
  • Establish governance standards across taxonomy, metadata, schemas, lifecycle, and approvals.
  • Integrate diverse content sources into a unified, governed content ecosystem.

Skills

Data science
NLP
Knowledge engineering
Content governance
Python
SQL
Git
Entity recognition
Information extraction
Retrieval frameworks

Education

Bachelor's degree or equivalent
Experience in data science/NLP roles

Tools

spaCy
transformers
pandas
NumPy
scikit-learn

Job description

BNY is seeking a Data Science Manager, Revenue Analytics in Asset Servicing to lead initiatives in data science, NLP, and content governance. The role focuses on transforming proposals, due diligence content, and related artifacts into a scalable, governed content ecosystem that improves quality, speed, and reuse across client opportunities.

The position requires leadership in applied AI, retrieval, and language quality analytics, with strong collaboration across sales, product, and controls

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