Product Manager - Enterprise Data

Bloomberg L.P.; New York (NY); On-site; USD 140,000 - 295,000; Full time

Benefits offered by this job

Merit increases

Incentive compensation

Paid holidays

Paid time off

Medical insurance

Dental insurance

Vision insurance

Disability insurance

401(k) + match

Life insurance

Wellness programs

Job summary

Bloomberg L.P. in New York seeks a Product Manager for Enterprise Data to lead development across unstructured datasets and NLP-driven analytics, collaborating with technologists to translate client needs into product roadmaps for hedge funds, asset managers and banks.

Required are 5+ years in finance or tech, hands-on text data experience, and Python/SQL familiarity. The role offers a fast-paced, data-driven environment with close collaboration across sales and engineering.

Qualifications

• Bachelor's or graduate degree in business, finance, or engineering-related field.
• 5+ years' work experience in a financial or technology company.
• Hands-on experience working with unstructured text data - NLP, text analytics, large corpora, or LLM pipelines.
• Knowledge of Python or SQL; ETL pipelines knowledge a plus.
• Understanding of data structures, algorithms, machine learning, quantitative trading.
• Strong written and verbal communication skills.

Responsibilities

• Understand client needs and identify improvements and new use cases.
• Contribute to product development plans across text and unstructured datasets.
• Drive engineering resources and execute development initiatives.
• Evaluate new unstructured data sources for quality and potential.
• Create and update client-facing technical documentation.
• Design protocols for comprehensive product quality checks.
• Provide quantitative research to support client testing and onboarding.
• Serve as SME in client discussions and sales meetings.

Skills

NLP

Text analytics

Unstructured data

Communication skills

Financial domain knowledge

Education

Bachelor's or graduate degree in business/finance/engineering

Tools

Python

SQL

Job description

Product Manager - Enterprise Data

Location

New York

Business Area

Product

Ref #

10052218

Description & Requirements

Enterprise Data at Bloomberg provides machine-readable feeds of news and other unstructured content, as well as AI-powered analytics, including sentiment and more. Text is at the core of what we do today, with audio, imagery, and video increasingly in scope. Our client base includes major hedge funds, asset managers, and investment banks, typically using our feeds and analytics for low latency and intraday trading, market making, quantitative investing, and risk.

What's the role?

We're looking for a charismatic Product Manager to join a growing team of technologists to help drive and execute on product development across our unstructured datasets. You'll bring with you a few years working in a financial or technology firm in the machine learning/quantitative trading domain, along with some programming and data management skills. You'll work alongside seasoned industry professionals, gaining personal development whilst contributing your strong technical skills and a positive, can-do attitude.

We'll trust you to:

• Understand client needs, identify improvements and new use cases
• Contribute to defining product development plans across text and other unstructured datasets
• Drive engineering resources and execute planned development initiatives
• Evaluate new unstructured data sources and assess their quality, coverage, and product potential
• Create and update portfolios of client-facing technical documentation
• Design protocols and tools to facilitate comprehensive product quality checks
• Provide quantitative research to support client testing and onboarding
• Serve as subject matter expert in client discussions, sales meetings, industry events

You'll need to have:

• Bachelor's or graduate degree in business, finance, or engineering-related field
• 5+ years' work experience in a financial or technology company
• Hands-on experience working with unstructured text data - for example NLP, text analytics, large news or document corpora, or LLM-based pipelines
• Knowledge of Python or SQL. Understanding of how ETL pipelines work a plus.
• Understanding of data structures, algorithms, machine learning, quantitative trading.
• Good written and verbal communication skills.
• Sense of humor a plus.

We'd love to see:

• Experience with non-text unstructured data: audio or speech, imagery, or video
• Familiarity with multimodal machine learning, embeddings, or modern foundation models
• Experience building or evaluating data labeling, annotation, or quality pipelines at scale

Salary Range = 140,000 - 295,000 USD Annual + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include the following benefits.

• merit increases
• incentive compensation (exempt roles only)
• paid holidays
• paid time off
• medical
• dental
• vision
• short and long term disability benefits
• 401(k) +match
• life insurance
• various wellness programs
• among others.

The Company does not provide benefits directly to contingent workers/contractors and interns.

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Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [e-mail]