Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
API @ 3
.NET @ 3
Agile @ 3
AI @ 3
Data Modeling @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
As Bloomberg continues to expand its investment in AI, analytics, and connected data, the need for high-quality, well-structured, and accessible datasets is more critical than ever. Industry and physical asset data sit at the core of how clients understand real-world operations, risk, and opportunity.
We are at an inflection point: much of this data today is fragmented, inconsistently modeled, and optimized for specific use cases rather than long-term reuse. This role is an opportunity to rethink and rebuild how Physical Assets & Geospatial data is managed—creating a scalable, sustainable foundation that improves data quality, interoperability, and accessibility across the Terminal.
The Team
The Industry Data & Supply Chain (IDSP) team is part of Core & Industry Financial Data. We bring together Industry Data, Supply Chain, and Physical Assets & Geospatial (PAGEO) to deliver a unified view of how industries operate and evolve. Our goal is to enable clients—and internal teams—to seamlessly analyze company exposure, supply chain dynamics, and real-world impacts within a connected workflow.
Role overview
You will lead the evolution of Bloomberg’s Physical Assets & Geospatial data platform. This role requires a fresh perspective on how asset data should be structured, governed, and delivered at scale. You will drive the transformation from fragmented datasets into a cohesive platform that standardizes data models, enforces quality, and enables broad reuse across products and workflows. You will define and execute a strategy to centralize asset data, integrate geospatial capabilities, and build the infrastructure needed to support advanced analytics and event-driven insights.
Responsibilities
- Define and drive the product strategy for the Physical Assets & Geospatial platform, with a focus on scalability, sustainability, and data quality
- Lead the design of data models and architecture to enable standardized, reusable, and well-governed datasets
- Build and evolve platform capabilities, including geospatial integration, asset-event linking, and data services
- Partner closely with Engineering and Data teams to deliver robust, scalable systems and improve data lifecycle management
- Break down silos by unifying datasets across domains and ensuring consistency across workflows
- Enable internal and client-facing use cases through accessible APIs, services, and tooling
- Collaborate with multiple PMs to ensure seamless integration of asset, network, and industry data
- Drive client impact and product differentiation in partnership with commercial teams
Requirements
- Experience as a Product Manager working on data platforms, data infrastructure, or analytics-driven products
- Strong understanding of data modeling, data architecture, and scalable platform design
- Proven ability to rethink and improve data systems with a focus on long-term sustainability and reuse
- Strong analytical mindset with the ability to translate data challenges into actionable solutions
- Experience working cross-functionally with Engineering and Data teams to deliver complex platform initiatives
- Ability to define clear strategy, prioritize effectively, and execute against a roadmap with measurable outcomes
- Strong stakeholder management skills and the ability to influence across teams and business lines
- Comfort working in agile environments and managing multiple concurrent workstreams
- Fluency in using data and product metrics to drive decision-making and improve outcomes
- Solid understanding of Bloomberg Terminal workflows and how data is consumed by clients
Preferred / "Love to See"
- Ability to clearly communicate complex ideas through strong storytelling and presentations
- A balance of attention to detail and big-picture thinking
- A proactive, self-driven approach with a focus on innovation and continuous improvement
- Positive energy and a collaborative mindset
Compensation & Benefits
Salary Range = 140,000 - 295,000 USD Annual + Benefits + Bonus
The 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 a comprehensive benefits plan 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) with match, life insurance, and various wellness programs. The Company does not provide benefits directly to contingent workers/contractors and interns.
Location & How to Apply
Location: New York
Apply: https://bloomberg.avature.net/careers/Login?jobId=18850