At a Glance
- Tasks: Drive growth by integrating third-party data into Bloomberg's innovative products.
- Company: Join Bloomberg, a fast-paced and innovative leader in financial technology.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with cross-functional teams in an agile environment.
- Why this job: Make a real impact on data solutions that shape the future of finance.
- Qualifications: 5+ years in product management with a focus on financial data and analytics.
The predicted salary is between 70000 - 90000 £ per year.
We are Bloomberg Enterprise Data - fast paced, innovative, and growing. We partner closely with our clients to understand their businesses, data requirements, and financial technology needs. Our broad range of datasets, delivery channels, APIs, and cloud-enabled solutions enables clients to access the data they need, when they need it, and in the format that best supports their workflows.
Third-party data is a growth lever for Enterprise Data. Selectively sourcing and integrating external datasets enriches Bloomberg’s data products, closes coverage and quality gaps, and creates new client value. This role sits at the intersection of content strategy, data sourcing, and commercial partnerships.
We are seeking a Product Manager to grow Bloomberg’s Enterprise Data business through third-party data. You will identify priority datasets from external providers, evaluate their fit and commercial case, and lead their integration into Bloomberg data products to drive growth.
We’ll Trust You To
- Identify and prioritise third-party datasets that enrich Bloomberg’s data products and address client evolving needs.
- Build the business case for each dataset — client demand, commercial model, build-versus-buy, and integration cost.
- Evaluate providers on coverage, quality, licensing terms, and delivery, and lead commercial and partnership discussions alongside relevant teams.
- Define how third-party data is linked, normalised, and integrated with Bloomberg’s data estate.
- Partner with clients to validate demand and shape requirements.
- Work with Sales and Marketing to drive adoption and attain commercial outcomes.
- Manage specification, prioritisation, and backlog through an agile process across Data, Engineering, Legal, and Client Solutions.
You’ll Need to Have
- 5+ years in product management or market experience within financial data, analytics, or investment technology.
- Experience delivering product outcomes through an agile process with cross-functional stakeholders.
- Excellent communication and negotiation skills.
- Understanding of how enterprise clients identify and evaluate datasets.
- Commercial judgement on dataset prioritisation, build-versus-buy, and content economics.
- Familiarity with data licensing, entitlements, and partnership structures.
- Working knowledge of AI, automation, and agentic approaches applied to data products.
- Ability to travel as needed.
We’d Love to See
- Experience in data acquisition, vendor management, or partnerships with data providers.
- Knowledge of the alternative data landscape and provider ecosystem.
- Proficiency with Python, SQL, or other data science tools.
- Experience with cloud-based data delivery, data marketplaces, or modern enterprise data platforms.
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
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Product Manager - Third Party Data | Enterprise Data in London employer: Bloomberg
Bloomberg is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to numerous professional development opportunities while working in a cutting-edge environment that values your contributions to the data manufacturing infrastructure. Located in a vibrant city, Bloomberg provides unique advantages such as a diverse workforce and a commitment to work-life balance, making it a rewarding place to advance your career.
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We think you need these skills to ace Product Manager - Third Party Data | Enterprise Data in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Bloomberg. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Bloomberg
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
