Senior Data Management Professional - Commodities, Singapore

AI in this role

nlp

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 innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients!

What’s the Role:
The Commodities Data team is seeking a Senior Data Management Professional to help drive the next generation of our data platform. You will design and enhance scalable data pipelines, automation solutions, and quality frameworks that power critical datasets across Bloomberg products. Partnering closely with Product, Engineering, and domain experts, you will improve data reliability, modernize workflows, reduce technical debt, and drive data quality, governance, and AI-enabled innovation. This is a highly impactful individual contributor role for someone who combines strong data engineering expertise with a passion for delivering high-quality, client-focused data solutions.

We’ll trust you to:

Design, build, and optimize scalable, resilient data pipelines and workflows supporting critical Commodities datasets
Modernize legacy systems, reduce technical debt, and lead data migration and transformation initiatives that improve reliability, performance, and maintainability
Develop automated controls, monitoring, observability, and remediation frameworks to ensure data quality, integrity, and operational resilience
Partner with Product, Engineering, and domain experts to translate business needs into scalable technical solutions and influence platform architecture and evolution
Apply automation, AI/ML, and advanced analytics to enhance data ingestion, enrichment, validation, and monitoring processes
Establish engineering best practices and mentor team members to drive technical excellence, code quality, and operational discipline

You’ll need to have:

Bachelor’s degree (or higher) in a STEM field such as Statistics, Computer Science, Quantitative Finance, or equivalent practical experience
Minimum 4 years of experience designing and building scalable data solutions, including ETL/ELT pipelines, data workflows, and automation frameworks
Experience with Python and querying structured, semi-structured, and unstructured data
Experience with modern data operations, including data modeling, governance, lifecycle management, observability, monitoring, alerting, and reliability engineering
Strong communication and stakeholder management skills, with the ability to collaborate effectively across Data, Engineering, Product, and business teams
Fluency in both spoken and written English
Demonstrated continuous career growth within an organization

We’d love to see:

Experience with Bloomberg data products and workflows, plus AI/ML-enabled solutions such as anomaly detection, NLP, classification, or LLM-assisted workflows
Familiarity with modern data engineering and delivery practices, including cloud platforms, DataOps, CI/CD, metadata management, Agile delivery, and project management tools; CDMP certification is a plus

If this sounds like you:
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: https://www.bloomberg.com/professional

Learn more about our offices and benefits:
Singapore | www.bloomberg.com/singapore Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

How we rate this

Senior Data Management Professional - Commodities, Singapore at Bloomberg rates 49 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

NLP

Questions you could be asked

What NLP problem have you worked on, and how did you measure whether it actually worked?
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

List these exact terms on your resume: NLP. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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