Senior Data Management Professional – Automation Engineer - Economics News

USD 110,000-190,000 per year

SENIOR

✅ On-site

Tech Stack
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Details

Bloomberg's Economics Data team supports high-impact, time-sensitive headline data publishing across Bloomberg News and the Bloomberg Terminal. The team manages automated acquisition, extraction, validation, monitoring, and publishing workflows for economic indicators and news data from government agencies, central banks, national statistics offices, vendor feeds, news APIs, web sources, email-based sources, and social media channels.

The role focuses on managing, coordinating, and improving automation-first data operations across acquisition, extraction, validation, monitoring, publishing, and remediation. You will work with News, Engineering, and Product teams to modernize automation processes, reduce operational risk, improve data quality and timeliness, and strengthen end-to-end visibility across critical news and economic data workflows.

Responsibilities

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.
Lead root-cause analysis and continuous improvement initiatives.
Partner with Engineering, Product, and News teams to define automation-first workflows, coverage requirements, functional and technical specifications, 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 for 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.

Requirements

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 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.
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, including the ability to navigate ambiguity, manage high-impact incidents, and champion scalable automation-first solutions.

Preferred Qualifications

Experience with macroeconomic releases, government statistics, central banks, or other market-moving event coverage.
Familiarity with Bloomberg Terminal, BQL, and Bloomberg News content.
Experience with 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.
CDMP certification or progress toward it.

Benefits

Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs.