Senior Data Management Professional - Workflow Optimization - Private Credit

Senior Data Management Professional - Workflow Optimization - Private Credit - 20911 - Bloomberg

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Senior Data Management Professional - Workflow Optimization - Private Credit

Location

New York

Business Area

Data

Ref #

10052705

Description & Requirements

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.

Our Team:

Private Credit is one of the fastest-growing areas of financial markets, and Bloomberg's data helps clients monitor private credit deal flow, evaluate portfolio risk, and identify market trends. Our team builds and maintains Bloomberg's BDC Direct Lending dataset by extracting, validating, and publishing loan-level data from public filings used across the Terminal and Enterprise products.

We work at the intersection of finance, data, and technology, partnering closely with Engineering, Product, AI, and clients to transform complex workflows through automation, improve data quality, and build scalable solutions that deliver trusted private credit data.

The Role:

A Senior Data Management Professional is a key role within our organization responsible for optimizing the value of our data for clients and improving our data operations. They act as technical leaders setting the strategy for data products, developing interconnected data models, designing data architectures, ensuring data quality using various techniques, including programming, statistical methods and design thinking, to extract valuable insights from data. They are expected to be problem solvers, effective communicators, and versatile at balancing technical expertise with a product-focused approach.

We trust you to:

• Design, build, and maintain scalable data pipelines that support data collection, annotation, training, evaluation, analytics, and reporting workflows.
• Develop and operate systems for dataset management, storage, versioning, and lifecycle governance to ensure reliable and reproducible AI workflows.
• Implement monitoring, observability, and alerting capabilities that provide visibility into data quality, system health, and operational performance.
• Build dashboards, tooling, and self-service capabilities that improve transparency, efficiency, and decision-making across data operations.
• Partner with Product, Engineering, and Data teams to evolve the infrastructure and platforms supporting products and workflows.
• Identify bottlenecks and opportunities for automation, delivering scalable solutions that improve reliability, consistency, and operational efficiency.

You'll need to have:

• Bachelor's degree in Finance, Business, Economics, Accounting, STEM or degree-equivalent qualifications
• 3+ years in data engineering (Python, SQL)
• Experience building ETL/data pipelines at scale and creating data collection frameworks for structured and unstructured data
• Experience with data modeling and developing proactive data quality strategies that ensure data is fit for purpose
• Experience working with ML/AI datasets or experimentation workflows.
• Excellent problem-solving and analytical thinking skills with strong attention to detail.
• Proven track record of stakeholder relationship management, communication, and cross-team collaboration.

We'd Love to See:

• Experience with Bloomberg's products or other financial data providers' products
• Keen interest in and familiarity with generative AI frameworks andAgentic AI workflows
• Strong understanding of Fixed Income, Private Markets and reference data
• Experience with semantic structures, data modeling, or databases
• DAMA CDMP, DCAM certification a plus
• Project or work experience using one or more programming language such as Python, SQL and R
• Familiarity with data visualization techniques and tools such as Tableau, QlikSense, or PowerBI
• Proven ability to develop novel data architectures and products through 0-1 initiatives

If this sounds like you:

Apply! If you think we're a good match. We'll get in touch to let you know the next steps.

Salary Range = 110,000 - 190,000 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 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, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

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Accommodations

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Equal Opportunity

Bloomberg is an equal opportunity employer and prohibits discrimination in employment. It is Bloomberg's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to 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, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a "Protected Characteristic"). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.

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