Bloomberg

Senior Data Management Professional - Automation Engineer - Economics News

Bloomberg
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20 days ago
Princeton, NJ, USASenior
H1B sponsor

Base Salary

$110k - $190k/yr

Responsibilities

  • Manage 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.
  • Partner with Engineering, Product, and News to define automation-first workflows, specifications, controls, testing, and production readiness.
  • Define standards for automation quality, source reliability, extraction accuracy, timeliness, publishing success, operational readiness, and governance.
  • Design monitoring, alerting, validation, anomaly-detection, exception-handling, and downstream delivery assurance frameworks.
  • Research and onboard data sources while 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 automated publishing.
  • Influence data modeling, metadata, taxonomy, lineage, governance, documentation, release readiness, and operational support.
  • Mentor colleagues on 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 end-to-end data lifecycles, 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 workflow automation and monitoring tools.
  • Ability to translate business, editorial, product, and client requirements into technical solutions while collaborating across teams and external partners.
  • Strong analytical and problem-solving skills, including root-cause analysis, data profiling, trend analysis, KPI/SLA definition, issue management, and continuous improvement.
  • Excellent communication, stakeholder management, prioritization, and ambiguity-navigation skills.
  • Experience with macroeconomic releases, government statistics, central banks, or market-moving event coverage is preferred.
  • Familiarity with Bloomberg Terminal, BQL, Bloomberg News content, automated publishing, headline generation, event-driven workflows, source acquisition, extraction, or content automation is preferred.
  • Experience designing dashboards for automation performance, publishing success, extraction accuracy, source latency, data health, or operational risk is preferred.
  • Experience leveraging AI in workflow optimization and coordinating with external institutions, vendors, source providers, exchanges, government agencies, central banks, or content partners is preferred.
  • Project management experience with Agile delivery, backlog management, JIRA, or similar tools is preferred.
  • CDMP certification or progress toward it is a plus.

Benefits

  • Benefits may include paid holidays, paid time off, medical, dental, vision, short- and long-term disability, 401(k) matching, life insurance, wellness programs, merit increases, and incentive compensation for exempt roles.
  • The posting notes that benefits are not provided directly to contingent workers, contractors, or interns.

Tech Stack

Categories

Data Engineering
Bloomberg

About Bloomberg

10,000+ employees

Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency and efficiency, and fairness to markets. We help connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. We challenge the status quo through constant innovation. We collaborate broadly because we know that other perspectives matter. We put our customers first, as a guiding beacon. And we believe doing the right thing – by our people, our clients, and our communities – is the best thing for our business.

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