Job Description
Senior Data Management Professional - Data Engineering
Location New York Business Area Data Ref # 10044246
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 world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.
The Bloomberg Data AI group brings innovative AI technologies into Bloomberg’s Data organization while supplying deep financial domain expertise to the development of AI-powered products. We partner closely with team members to align AI innovation with Bloomberg’s strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloomberg’s offerings.
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
Build strategies to analyze processes and data engineering questions to ensure our datasets are fit-for-purpose.
Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project coordinator.
Collaborate on database schema design and configure ETL pipelines to onboard new data sets.
Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
Review and further improve annotation guidelines, and promote the development of standard processes in data annotation.
Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
Lead on problem-solving to resolve sophisticated annotation challenges and ensure data quality.
Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
A bachelor’s degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
A minimum of four years of demonstrable experience in data management concepts such as data engineering, data quality and data modeling.
Demonstrable experience in Data Profiling/Analysis/Engineering using tools such as SQL and Python or R.
Experience using data visualization tools such as Tableau, Qlik Sense or Splunk.
Past projects that involved owning financial datasets, or other demonstrable work with financial-market concepts.
Proficiency in discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product.
Extensive experience in communicating results in a clear, concise manner using data visualization tools.
Consistent track record in taking a logical approach and applying critical thinking skills in order to address problems.
DAMA CDMP or DCAM certifications.
Keen interest and familiarity with generative AI frameworks.
Understanding of the importance of high quality annotations.
Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products.
Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
Past project experience using the Agile/Scrum project management methodology.
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Salary Range = 110000 - 170000 USD Annually + Benefits + BonusThe referenced salary range is based on the Company's 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.
Bloomberg is the leader in global business and financial information. They give influential decision makers the data, analytics, news and insight to give them a critical edge. Bloomberg connects influential decision makers to a dynamic network of information, people and ideas. Their strength - quickly and accurately delivering data, news and analytics through innovative technology - is at the core of everything they do. With over 15,500 employees in 192 locations, Bloomberg deliver business and financial information, news and insight around the world. Bloomberg was founded in 1982 and within 10 years had over 10,000 customers for the Bloomberg Professional service, a ground breaking private network with data, analytics and other financial information. In the same decade, Bloomberg launched Bloomberg News and opened offices around the world. Subscriptions to the Bloomberg Professional service skyrocketed in the next decade and the company launched Bloomberg Tradebook and Bloomberg.com. This past decade saw the development of technological advances in key products and services such as email and instant messaging that have made the Bloomberg Professional service the leading choice of more than 320,000 business and financial professionals globally. Today, Bloomberg is applying its extensive data, news and technology to offer new tools in the fields of government, law, energy and sports. The company's hallmark, innovation and a passion for getting things right, remains strong and is the inspiration behind Bloomberg's award-winning products and solutions.
