Senior Data Management Professional - Data Product Owner - EVTS

Senior Data Management Professional - Data Product Owner - EVTS

Location: London

Business Area: Data

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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 Events & Transcripts (EVTS) Data team operates at the intersection of Product, Engineering, and AI, delivering market-critical data that powers Bloomberg's Corporate Events and Transcripts product EVTS. From earnings calls and shareholder meetings to product launches and conferences, we maintain a global, centralized calendar of market-moving events enriched with transcripts and AI-driven insights.

Our data is embedded in the daily workflows of analysts, traders, and quantitative analysts who depend on accuracy, timeliness, and coverage to act on market-moving signals. We combine scalable ETL pipelines with human-in-the-loop curation to manage the full data lifecycle, ensuring our content meets the highest standards of quality and reliability.

What's the role?

We are seeking a Data Product Owner who will own our Transcripts product end-to-end. This role is at the center of Bloomberg's innovation strategy, balancing client needs, AI-driven transcription capabilities, and running vendor partnerships to deliver real-time, high-quality market-moving data.

Working with leaders across teams, you will define the product roadmap and deliverables, crafting the design, implementation, and reporting of fit-for-purpose client and data solutions. You will function as a central point of contact across teams, maintaining a clear roadmap of commitments, and ensuring alignment with market trends and client expectations. Beyond transcripts, you will also lead the automation of third-party integrations for Corporate Events (EVTS Calendar), growing global coverage and reinforcing Bloomberg's leadership in events data.

• Own and drive the Streaming Transcripts roadmap, defining and driving product strategy in collaboration with Product, Engineering, AI, Multimedia, and Speech partners.
• Engage with clients, market participants, and internal partners to bring together evolving needs for real-time transcripts and translate them into actionable roadmap priorities.
• Define what a fit-for-purpose transcripts product looks like, establishing health metrics such as accuracy, timeliness, coverage, and vendor performance that are continuously measured and clearly reported.
• Define, track, and report on objectives and key results that directly tie transcript and events product performance to measurable client outcomes - driving adoption, business impact, and long-term success.
• Evaluate and supervise ASR (Speech-to-Text) model performance through backtesting and boosting, setting standardized quality metrics that align with our State of Data pillars.
• Lead the design, evolution, and evaluation of our datasets, ensuring interoperability across systems and alignment with client workflows.
• Research and evaluate new datasets and emerging technologies, finding opportunities to expand coverage, improve automation, and strengthen transcripts and events workflows.
• Effectively lead projects and deliverables, applying structured execution rigor while bringing creativity and flexibility to problem-solving.
• Influence and align partners, communicating data vision, strategic priorities, and execution plans across cross-functional teams.
• Establish vendor management frameworks, negotiating contracts, optimizing pricing strategies, and ensuring vendors deliver on cost, quality, and service expectations.
• Drive automation initiatives for EVTS Calendar Data, building partnerships with global exchanges and third-party providers to expand structured event coverage.

• Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
• Bachelor's Degree or equivalent professional work experience.
• 4+ years of proven experience in product ownership, data management, or similar roles.
• Strong understanding of speech-to-text/ASR technology and experience evaluating model performance, quality metrics, and backtesting frameworks.
• A solid grasp of data management principles and proven examples of data analysis, data governance, and data modeling to tell a narrative and/or generate data-driven insights.
• Strong attention to detail and high degree of demonstrated decision-making and problem-solving skills in a fast-paced, constantly evolving environment.
• Consistent track record to establish strong credibility and build influential relationships with multiple internal and external clients and partners, both written and verbal at a global level.
• Project Management experience, leading the execution of tasks both independently and collectively with a group.
• Understanding of quality assurance and quality control from a data and product perspective.
• Experience using data visualization tools such as QlikSense, Tableau.

• Master's degree in relevant field and/or CFA designation.
• Familiarity with Speech-to-Text (ASR) platforms and evaluation frameworks, with awareness of industry trends in streaming transcription.
• Experience with data governance, quality frameworks, and metadata management
• A keen interest in AI and automation technologies, including LLM-based solutions, and their application to real-time market data.
• Certifications in Project Management (PMP, CSM) or Data Management (CDMP, DAMA) that demonstrate structured delivery and Data Management expertise.

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!