
Senior Data Management Professional
Welcome to Bloomberg, a global leader in financial data and analytics. We are seeking a highly skilled and experienced Senior Data Management Professional to join our dynamic team. As a Senior Data Management Professional at Bloomberg, you will play a pivotal role in managing and optimizing our vast and complex data systems. We are looking for a driven individual who is passionate about data and has a deep understanding of the financial industry. If you are a strategic thinker, a strong communicator, and have a proven track record of successful data management, we want to hear from you. Join us in shaping the future of financial data management.
- Oversee the management and optimization of Bloomberg's extensive and intricate data systems.
- Develop and implement strategic plans for data management to ensure efficient and accurate data processing.
- Analyze and evaluate current data management processes and identify areas for improvement.
- Collaborate with cross-functional teams to develop and implement data management solutions that meet the needs of various departments.
- Lead the development and maintenance of data governance policies and procedures.
- Ensure compliance with industry regulations and best practices related to data management.
- Monitor and maintain data quality and integrity, continuously identifying and addressing any issues.
- Keep up-to-date with industry trends and advancements in data management technologies and techniques.
- Provide guidance and mentorship to junior data management professionals.
- Communicate effectively with stakeholders to understand their data needs and provide solutions.
- Create and maintain documentation for data management processes and procedures.
- Conduct regular audits and assessments to ensure data security and privacy.
- Collaborate with IT teams to ensure the smooth functioning of data systems.
- Develop and maintain relationships with external data providers and vendors.
- Participate in project planning and execution related to data management initiatives.
Extensive Experience In Data Management: The Ideal Candidate Should Have A Minimum Of 7-10 Years Of Experience In Data Management, With A Proven Track Record Of Managing Large And Complex Datasets.
Proficiency In Data Analysis Tools And Techniques: The Candidate Should Be Proficient In Using Data Analysis Tools Such As Sql, R, And Python, And Have A Deep Understanding Of Statistical Methods And Data Visualization Techniques.
Knowledge Of Database Management Systems: The Candidate Should Have A Strong Understanding Of Database Management Systems Such As Oracle, Sql Server, And Mysql, And Be Able To Design And Implement Efficient Data Storage And Retrieval Processes.
Leadership And Project Management Skills: The Candidate Should Have Experience In Leading And Managing A Team Of Data Professionals, As Well As The Ability To Plan, Organize, And Execute Data Management Projects Effectively.
Strong Communication And Problem-Solving Skills: The Candidate Should Possess Excellent Communication Skills And Be Able To Effectively Collaborate With Cross-Functional Teams. They Should Also Have Strong Problem-Solving Skills And Be Able To Think Critically To Identify And Resolve Data Management Issues.
Data Analysis
Data Quality
Data Security
Database Management
Data Modeling
Data warehousing
Data Visualization
Data migration
Data governance
Data architecture
Data Integrity
Data
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
creativity
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Data Management Professional in Skillman, Montgomery, NJ 08558, USA is $120,000 - $160,000 per year. This salary range can vary depending on factors such as experience, education, and specific job responsibilities. Some companies may also offer additional benefits and bonuses as part of the compensation package.
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Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day.

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