Senior Data Management Professional - Data Engineering (Data AI)

Location

Princeton Business Area (Reference # 10052626)

About the Role

Bloomberg’s Data AI team builds AI‑enhanced products at scale by curating model training data and improving internal AI processes. The team creates evaluation and annotation frameworks that combine natural language processing with human judgment to raise the quality, intelligence, and usability of the data powering Bloomberg’s products. By embedding AI across Data, the team ensures clients receive high‑quality data and new types of datasets.

Responsibilities

• 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 AI‑enabled products and workflows.
• Identify bottlenecks and opportunities for automation, delivering scalable solutions that improve reliability, consistency, and operational efficiency.

Requirements

• Bachelor’s degree in Finance, Business, Economics, Accounting, STEM, or equivalent qualifications.
• 3+ years of experience 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.

Preferred Qualifications

• Keen interest in and familiarity with generative AI frameworks and the requirements of Agentic AI.
• Experience in semantic structures or large‑scale data modeling.
• Experience using data visualization tools such as Tableau, QlikSense, or PowerBI.
• Experience developing or managing annotation programs and training/evaluation datasets for ML or NLP models.
• Deep domain expertise in financial markets/news and an understanding of customers' needs.

Compensation

Salary Range: $110,000 – $190,000 USD annually, plus benefits and bonus. The referenced range reflects Bloomberg’s good‑faith belief at the time of posting; actual compensation may vary based on geographic location, experience, market conditions, education/training, and skill level.

Benefits

• Merit increases and incentive compensation (exempt roles only)
• Paid holidays and paid time off
• Medical, dental, and vision coverage
• Short‑ and long‑term disability benefits
• 401(k) plan with company match
• Life insurance
• Wellness programs
• Comprehensive benefits package (not provided to contingent workers/contractors or interns)