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Senior Data Management Professional Data Automation Engineer People Data
Job Location:
Job Location:
Princeton, NJ - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
21 August 2026 (Yesterday)
Posted:
Application Deadline:
18 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Senior Data Management Professional - Data Automation Engineer - People Data
Location
Princeton
Business Area
Data
Ref #
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 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 we implement technology solutions to improve our systems products and processes.
The People Data team provides our clients with a unique dataset of corporate executives directors and individuals moving the market to identify risks and opportunities via unconventional financial analysis. Factors including corporate governance executive pay for performance leadership changes career history and corporate diversity have become a crucial piece to forming business decisions with deeper company intelligence.
The Role:
The People Data team is looking for a highly motivated individual with a passion for data operations and technology to build and optimize our data product by evolving our data quality and acquisition systems. As a Senior Data Management Professional you will help improve the quality breadth and scalability of People Data by transforming how we acquire onboard maintain and validate data through automation and AI-enabled workflows.
This role is ideal for someone who enjoys identifying inefficient processes designing practical solutions and driving implementation from concept through production. You will work across data operations and technology to build scalable systems that reduce manual effort improve data quality and accelerate coverage expansion.
Well trust you to:
- Design and implement scalable solutions to improve data quality automate data acquisition and expand coverage across the People Data product
- Identify recurring manual processes operational bottlenecks and quality failure points then translate them into automation opportunities and preventive controls
- Design build and deploy automation solutions that improve data quality expand coverage and scale data onboarding and maintenance across datasets
- Investigate complex operational challenges and independently develop scalable solutions that reduce manual effort and improve data reliability
- Perform data profiling and apply analytical methods to support data quality measurements rulesets and monitoring frameworks
- Collaborate with domain experts in Data as well as colleagues in Product Enterprise and Engineering to design and implement solutions that improve data quality and scale acquisition systems
- Design and implement AI-enabled workflows to classify extract enrich reconcile validate and prioritize People Data at scale
- Define success metrics to measure automation impact data quality improvement operational efficiency and coverage expansion
- Educate and empower colleagues on data quality automation and scalable data management principles
- Keep up with industry trends standards and innovation across data quality data operations AI and engineering domains
- Work in a fast-paced multifaceted and collaborative setting
Youll need to have:
- A BA/BS degree or higher in Computer Science Mathematics Information Systems Finance or a related field or equivalent professional work experience
- 3 years of professional experience in Data Quality Management Data Management Data Operations Data Acquisition Data Governance or related disciplines within Finance or Technology industries
- Experience applying AI machine learning NLP or rules-based automation to data acquisition enrichment validation or operational workflows
- Experience developing data quality metrics and business rules as part of a broader data architecture or operational framework
- Understanding of data pipelines workflow orchestration and automation frameworks used to acquire transform and maintain data at scale
- Experience identifying workflow inefficiencies and partnering with technical teams to deliver scalable data solutions
- Demonstrated experience designing and implementing automation solutions that eliminate manual workflows and improve operational scalability
- Experience writing production-ready code and conducting unit and/or integration testing
- Strong Python skills with experience building production-grade data workflows automation solutions and analytical tooling
- Understanding of Data Engineering best practices
- Superb communication and project management skills
- Solid ability to combine technical skills with business insight
Wed love to see:
- DAMA CDMP or DCAM certification
- Experience designing human-in-the-loop workflows for data review exception handling or quality control
- Agile/Scrum Project Management experience
- Experience using data analysis and visualization tools such as Tableau or QlikSense
- Experience with financial data people data company data private markets data corporate governance data or executive and board datasets
Does this sound like you
Apply if you think were a good match! Well get in touch to let you know what the next steps are.
Salary Range 00 USD Annual Benefits Bonus
The referenced salary range is based on the Companys good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location work experience market conditions education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases incentive compensation (exempt roles only) paid holidays paid time off medical dental vision short and long term disability benefits 401(k) match life insurance and various wellness programs among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases incentive compensation (exempt roles only) paid holidays paid time off medical dental vision short and long term disability benefits 401(k) match life insurance and various wellness programs among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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Required Experience:
Senior IC
About Company
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. Our customers around the world rely on ... View more
