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Senior Data Management Professional - Data Product Owner - Research Data

Bloomberg
New York City, United Statesfull_timeVerifiedPosted 8 Apr 2025
💰 $170,000/yr($110,000/yr$170,000/yr)

About the role

Senior Data Management Professional - Data Product Owner - Research Data Location New York Business Area Data Ref # 10043080

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 Content Acquisition (CA) team is an integral part of the Data department. We are responsible for managing, acquiring, and integrating content and data from exchanges, brokers, sell-side, buy-side, and other types of providers to drive the value of the Bloomberg Terminal and downstream enterprise products. We lead the governance, cost, and quality of the data we acquire, and we collaborate with the wider company to develop our data acquisition strategies ensuring we are aligning with the agendas of our key partners.

The Role:

Within CA, our Research team is responsible for acquiring and managing research content and data from both sell-side brokers and independent research providers. This content is then made available to our buy-side clients. For buy-side professionals, who use the Bloomberg Terminal daily, having the ability to access research content on one system simplifies their jobs and leads to more informed investment decisions. For providers of research such as sell-side firms, being able to deliver their content directly into the workflow of the world's leading institutional investors ensures better distribution of their IP, increased readership, and greater monetization. We onboard an incredible amount of content. It is imperative that we do so effectively and that the content we add is relevant, timely, accurate, discoverable, compliant, and complementary to other Bloomberg products.

The Research team is looking for a Data Product Owner passionate about developing a content vision and strategy for broker research that focuses on customer centric outcomes. In this role, you will be accountable for ultimate success of content strategies and be the link that connects the team, product, and datasets with its users. This position requires extensive collaboration with global colleagues and partners such as Product, Sales, Data and Engineering. You will need to be able to navigate through unknowns and ambiguity while making impactful decisions and be the driving force for solutions.

We'll trust you to:
  •  Develop data-driven strategies, balancing the best of technical and product knowledge, and work with our Engineering and Product departments to craft solutions
  •  Define what a fit-for-purpose data product looks like, and ensure data product health metrics are readily measured and transparent
  •  Identify, support, and develop strategies for new datasets
  •  Lead and implement data quality projects based on evolving business prioritization and commercial landscapes
  •  Make effective decisions in a fast-paced, rapidly changing environment
  •  Lead campaigns across the Research Team to mobilize the wider team of relationship managers and technical account managers around the strategy
  •  Make compelling cases and influence decision markers around resource allocation
 You'll need to have:
  • 4 years+ experience working with senior leaders and decision-makers both internally within a firm and outside the firm. This includes C-suite level executives and senior stakeholder management
  • Understanding of the mechanics of both the buy-side and sell-side analyst workflow. Able to quantify trends impacting the industry, and ability to provide analysis that can shape commercial decisions
  • Deep know

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Company

Bloomberg

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