Senior Data Management Professional – Automation Engineer - Economics News

Bloomberg · New York City

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• Senior Data Management Professional – Automation Engineer - Economics News
• Location
• New York
• Business Area
• Data
• Ref #
• 10054715
• 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:

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

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