Senior Data Management Professional – Automation Engineer - Economics News

Bloomberg is hiring a Senior Data Management Professional – Automation Engineer - Economics News in New York, United States. It pays $110k-$190k a year and Level rates it ; you can apply on Bloomberg.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
The posting mentions Bloomberg Terminal, APIs and data management among its tools and skills.
Level classes it as a senior role.
Bloomberg has 328 other open roles on Level.
Posted within the past week.

AI in this role

Manage and improve automated headline and economic data acquisition, extraction, and publishing workflows.

bloomberg-terminalapis

data-managementautomationworkflow-designdata-extraction

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:
The Economics Data team supports high-impact, time-sensitive headline data publishing across Bloomberg News and Bloomberg Terminal. The world’s most important market-moving economic indicators we provide relies on automated acquisition, extraction, validation, monitoring, and publishing processes that must operate with speed, accuracy, transparency, and resilience.

The team manages automated headline generation and economic data release workflows across a broad range of sources, including government agencies, central banks, national statistics offices, vendor feeds, news APIs, web sources, email-based sources, and social media channels. These workflows support critical Bloomberg products and wires, including economic indicators, automated news headlines, and downstream data delivery.
The Role:

We are looking for a Senior Data Management Professional – Economics News Automation to manage, coordinate, and improve high-impact automated headline and economic data workflows.This role is focused on driving and coordinating automation-first data operations across acquisition, extraction, validation, monitoring, publishing, and remediation. You will help modernize and scale existing automation processes, reduce operational risk, improve data quality and timeliness, and strengthen end-to-end visibility across critical news and economic data workflows.

You will work closely with News, Engineering, and Product teams to ensure automated outputs are accurate, timely, reliable, observable, and fit for purpose. The role requires strong data product ownership, technical fluency, workflow design, stakeholder coordination, quality management, and the ability to operate through ambiguity in fast-moving, high-impact publishing environments.
We’ll Trust You To:

Manage end-to-end automated news and economic data workflows across acquisition, extraction, validation, publishing, monitoring, remediation, and scheduled or event-driven delivery.
Prioritize incidents, enhancements, and remediation based on market impact, client value, operational risk, and coverage criticality, leading root-cause analysis and continuous improvement.
Partner with Engineering, Product, and News teams to define automation-first workflows, coverage requirements, functional and technical specifications to drive tool modernization, controls, testing, and production readiness.
Define and maintain standards for automation quality, source reliability, extraction accuracy, timeliness, publishing success, operational readiness, and governance.
Design monitoring, alerting, and validation frameworks that provide end-to-end visibility, anomaly detection, exception handling, and downstream delivery assurance.
Research and onboard news and economic data sources, defining source logic, extraction requirements, publishing rules, fallback strategies, ownership, and lifecycle management.
Apply AI, machine learning, statistical methods, and human-in-the-loop approaches to improve ingestion, validation, monitoring, resilience, and scalable automated publishing.
Influence data modeling, metadata, taxonomy, lineage, governance, documentation, release readiness, and operational support for automated data products.
Mentor colleagues on automation-first product management, workflow design, data quality, operational excellence, and scalable automation practices.

You’ll Need to Have:

Bachelor's degree or equivalent experience in Computer Science, Engineering, Economics, Statistics, Mathematics, Quantitative Finance, Data Management, Editorial, or a related discipline.
Significant experience in data management, data operations, data engineering, hands-on automation, workflow management, or data quality.
Strong understanding of the content and its end-to-end data lifecycle, including acquisition, ingestion, transformation, validation, publishing, monitoring, and operational controls.
Experience designing, managing, and improving automated data workflows, ETL pipelines, monitoring frameworks, and operational processes.
Technical proficiency in Python, SQL, scripting, data analysis, visualization, or similar tools used to automate, monitor, and optimize data workflows.
Proven ability to translate business, editorial, product, and client requirements into technical solutions while collaborating across Engineering, Product, News, Data, and external partners.
Strong analytical and problem-solving skills, including root-cause analysis, data profiling, trend analysis, KPI/SLA definition, issue management, and continuous process improvement.
Excellent communication, stakeholder management, and prioritization skills, with the ability to navigate ambiguity, manage high-impact incidents, and champion scalable, automation-first solutions.

We’d Love to See:

Experience with macroeconomic releases, government statistics, central banks, or other market-moving event coverage.
Familiarity with Bloomberg Terminal, BQL, and Bloomberg News content.
Experience building or managing automated publishing, headline generation, event-driven workflows, source acquisition, extraction, or content automation.
Experience designing dashboards for automation performance, publishing success, extraction accuracy, source latency, data health, or operational risk.
Experience leveraging AI in workflow optimization.
Project management experience with Agile delivery, backlog management, JIRA, or similar tools.
Experience coordinating with external institutions, vendors, source providers, exchanges, government agencies, central banks, or content partners to support reliable data access, delivery, and maintenance.
CDMP certification, or progress toward it, is a plus.

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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How we rate this

Senior Data Management Professional – Automation Engineer - Economics News at Bloomberg rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Data Management Professional – Automation Engineer - Economics News is an open job at Bloomberg.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $110k-$190k a year.
The role is based in New York, New York, United States of America.
The job was posted on October 26, 2026.
Seniority: senior.
Applications are handled by Bloomberg. Apply on Bloomberg

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ManagementAutomationWorkflow DesignData ExtractionBloomberg TerminalAPIs

Questions you could be asked

Tell me about a project where data management was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?
Tell me about a project where workflow design was part of your work. What did you do?
Tell me about a project where data extraction was part of your work. What did you do?
Walk me through how you've used Bloomberg Terminal in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Management, Automation, Workflow Design, Data Extraction, and Bloomberg Terminal. 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.

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