https://bloomberg.avature.net/careers/JobDetail/Technical-Product-Manager-Data-AI/20083

Job Description

Bloomberg runs on data. Our products are fueled by information that is fast, deep, and reliable. We combine data with context to paint a complete picture for our clients, around the clock and across the globe. In the Data department, we are responsible for delivering this information through innovative technology—quickly, accurately, and at scale. We apply problem-solving skills to streamline workflows, implement advanced technology solutions, and enhance the systems, products, and processes that power Bloomberg, all while supporting our clients with best-in-class service.

Our Team:
The Data Artificial Intelligence group brings modern AI technologies into Bloomberg’s Data organization while contributing deep financial subject-matter expertise to the development of AI-powered products. We partner closely with partners 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 enhance Bloomberg’s offerings.

What’s the role?
We are seeking a Technical Product Manager to help shape the future of AI-powered workflow automation. This role drives platform-oriented initiatives at the intersection of Artificial Intelligence, Data Infrastructure, and workflow automation, building scalable capabilities that enable teams across Bloomberg to automate and modernize data workflows using AI. You will lead the development of shared AI platform capabilities across multiple business domains, including classification, extraction, entity resolution, validation, and other workflows that transform unstructured information into structured, high-quality data products. Partnering closely with AI engineers, platform teams, financial domain experts, and senior leadership, you will help define the infrastructure, tooling, standards, and operational frameworks that allow AI-powered workflows to be developed, evaluated, and deployed consistently at scale.