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# Data Management Professional (DMP)

- **Company:** Bloomberg L.P.
- **Location:** New York, United States
- **Experience:** Expert
- **Salary:** $110,000.0 - $190,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Data Analysis, Databases, Data Validation, Information Engineering, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Visualization, Python (Programming Language), NoSQL, DataOps, Software Engineering, SQL Databases, Systems Integration, Unstructured Data, Information Technology, Data Management
- **Published:** August 29, 2026
- **Apply:** https://www.dice.com/job-detail/3b3d544e-9c90-4979-94d8-b12740fd4abd

## About the Role

* A BA/BS degree or higher in STEM or relevant data technology field, or equivalent professional work experience in software development
 * 4+ years of professional experience programming and scripting in Python production environments
 * 4+ years of experience working with databases, either SQL or NoSQL
 * Understanding and experience with data modeling
 * Excellent written and verbal communication skills for explaining sophisticated technical concepts to different stakeholders

We'd love to see:

 * Curiosity in problem solving, particularly to modify and improve processes and workflows
 * Solid attention to detail and high degree of proven decision-making
 * Experience in information technology, project management, engineering, data analysis, or research
 * Experience working in an agile development team
 * Strong passion for data, technology and finance
 * Ability to work under pressure and in an often-changing environment
 * Ability to work independently as well as in a team environment
 * Ability to influence others and lead change

## Description

A Data Management Professional (DMP) is a key role within our organization responsible for optimizing our data for clients and improving our data operations. They act as technical leaders: setting the strategy for data products, developing interconnected data models, designing data schemas and pipelines, and ensuring data integrity. They are expected to be problem solvers, effective communicators, and able to balance technical expertise with a product-focused approach. This role encompasses various specialty areas, including statistical analysis and data visualization, data engineering, product ownership, data modeling and data quality. It requires a solid background in data management.

We'll trust you to:

 * Design and implement data workflows, integrating structured and unstructured datasets while maintaining robust quality controls
 * Develop database schemas and ETL processes to efficiently onboard and process new datasets
 * Analyze metadata and internal processes to identify and implement innovative improvements
 * Establish data governance standards and best practices, including business rules for programmatic data validation based on market conventions
 * Build comprehensive data quality monitoring and reporting systems using statistical analysis and visualization techniques
 * Collaborate with Engineering and Product teams to develop and execute client-focused data strategies
 * Mentor technical team members and promote best practices across the organization


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