Overview
On Site
USD 140,000.00 - 295,000.00 per year
Full Time
Skills
ARM
Computer Hardware
Bloomberg Terminal
IaaS
Natural Language Processing
Finance
Data Management
Innovation
Backbone.js
Clarity
Interfaces
Regulatory Compliance
Auditing
Access Control
Collaboration
Metadata Modeling
Roadmaps
Product Management
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Kubernetes
Workflow
Research
Communication
Articulate
Computer Science
Data Science
Generative Artificial Intelligence (AI)
Evaluation
Cloud Computing
Management
Data Governance
Meta-data Management
Open Source
Pivotal
Artificial Intelligence
Training
Life Insurance
Bloomberg
Job Details
Technical Product Manager - GenAI Data Discovery & Governance Platform - CTO Office
Location
New York
Business Area
Engineering and CTO
Ref #
10047879
Description & Requirements
Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation of infrastructure, hardware, and applications that power the Bloomberg Terminal and beyond. Our work spans AI and ML platforms, cloud infrastructure, open-source stewardship, and generative AI innovation.
For over a decade, Bloomberg has been at the forefront of applying AI, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Behind these innovations lies a vast ecosystem of data and compute platforms. We are now building new cloud-native capabilities to accelerate AI development across the company and enable the next generation of intelligent products.
What's In It For You
We are looking for a Technical Product Manager to define and execute the strategy for Bloomberg's AI Data Discovery & Governance Platform , a cloud-native foundation for AI data management and lifecycle visibility.
You will design and deliver modern data capabilities purpose-built for AI, focused on making data discoverable, accessible, and trackable from curation and training through evaluation and inference.
Your mission is to connect Bloomberg's rich data ecosystem to our AI compute environment in the cloud. This includes linking dataset registries, feature platforms, and evaluation datasets to training pipelines, notebooks, and inference systems. The platform you help build will power data discovery, governance, and transparency across Bloomberg's AI community, enabling faster innovation and greater trust in AI data.
Why This Matters
This platform will serve as the backbone of Bloomberg's AI data strategy, ensuring that teams can efficiently develop and operate AI systems with clarity, traceability, and compliance. You will work closely with engineering, infrastructure, and data platform teams across the company to build capabilities that extend Bloomberg's existing strengths while introducing new systems optimized for AI in the cloud.
Your impact will span the entire AI lifecycle, helping data scientists and engineers discover, understand, and manage AI data with the same rigor and reliability that define Bloomberg's broader data ecosystem.
We'll trust you to
You'll Need to Have
We'd Love to See
Why Join Us
You will play a pivotal role in shaping Bloomberg's AI data future by building the platform that enables discoverability, governance, and lifecycle insight across all AI initiatives. This is an opportunity to help define how Bloomberg's vast data resources are harnessed for AI responsibly, efficiently, and at global scale.
You will work alongside world-class engineers, researchers, and product leaders, driving an ambitious agenda to make AI at Bloomberg faster, safer, and more impactful.
Salary Range = 00 USD Annually + 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 one of the most comprehensive and generous benefits plans available and offer a range of total rewards 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) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Location
New York
Business Area
Engineering and CTO
Ref #
10047879
Description & Requirements
Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation of infrastructure, hardware, and applications that power the Bloomberg Terminal and beyond. Our work spans AI and ML platforms, cloud infrastructure, open-source stewardship, and generative AI innovation.
For over a decade, Bloomberg has been at the forefront of applying AI, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Behind these innovations lies a vast ecosystem of data and compute platforms. We are now building new cloud-native capabilities to accelerate AI development across the company and enable the next generation of intelligent products.
What's In It For You
We are looking for a Technical Product Manager to define and execute the strategy for Bloomberg's AI Data Discovery & Governance Platform , a cloud-native foundation for AI data management and lifecycle visibility.
You will design and deliver modern data capabilities purpose-built for AI, focused on making data discoverable, accessible, and trackable from curation and training through evaluation and inference.
Your mission is to connect Bloomberg's rich data ecosystem to our AI compute environment in the cloud. This includes linking dataset registries, feature platforms, and evaluation datasets to training pipelines, notebooks, and inference systems. The platform you help build will power data discovery, governance, and transparency across Bloomberg's AI community, enabling faster innovation and greater trust in AI data.
Why This Matters
This platform will serve as the backbone of Bloomberg's AI data strategy, ensuring that teams can efficiently develop and operate AI systems with clarity, traceability, and compliance. You will work closely with engineering, infrastructure, and data platform teams across the company to build capabilities that extend Bloomberg's existing strengths while introducing new systems optimized for AI in the cloud.
Your impact will span the entire AI lifecycle, helping data scientists and engineers discover, understand, and manage AI data with the same rigor and reliability that define Bloomberg's broader data ecosystem.
We'll trust you to
- Define and own the vision for Bloomberg's AI Data Discovery & Governance Platform, built for AI data workflows in the cloud.
- Design for the AI lifecycle by building APIs and interfaces that make datasets easy to find, version, and use across training, evaluation, and inference.
- Develop governance capabilities that ensure responsible use of AI data, with lineage, compliance, and auditing built in from the start.
- Partner with engineering to deliver scalable systems for metadata management, access control, and lifecycle tracking.
- Collaborate across Bloomberg's AI ecosystem to integrate data and compute capabilities that support experimentation and production deployment.
- Shape the developer experience by defining metadata models, access patterns, and discovery tools that make AI data workflows intuitive.
- Drive the roadmap for how Bloomberg builds, governs, and scales AI data in the cloud, aligning technology direction with business priorities.
You'll Need to Have
- 5+ years of experience in technical product management, ideally within AI/ML platforms, data infrastructure, or developer platforms.
- Hands-on experience building or scaling AI data systems, feature stores, data catalogs, or MLOps infrastructure.
- Familiarity with cloud-native architectures, distributed systems, Kubernetes, and modern data platform technologies.
- A strong understanding of AI development workflows, from experimentation to model training, evaluation, and deployment.
- Proven ability to work cross-functionally with engineering, research, and platform teams to deliver technical products at scale.
- Excellent communication and storytelling skills, with the ability to articulate a technical vision and influence across diverse teams.
We'd Love to See
- A degree in Computer Science, Engineering, Data Science, or equivalent experience.
- Experience with LLMs, generative AI, or evaluation dataset frameworks.
- Experience designing cloud-based data architectures or managing hybrid workloads.
- Familiarity with data governance, catalogs, or metadata management systems.
- Contributions to or experience with open-source data and AI infrastructure projects.
Why Join Us
You will play a pivotal role in shaping Bloomberg's AI data future by building the platform that enables discoverability, governance, and lifecycle insight across all AI initiatives. This is an opportunity to help define how Bloomberg's vast data resources are harnessed for AI responsibly, efficiently, and at global scale.
You will work alongside world-class engineers, researchers, and product leaders, driving an ambitious agenda to make AI at Bloomberg faster, safer, and more impactful.
Salary Range = 00 USD Annually + 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 one of the most comprehensive and generous benefits plans available and offer a range of total rewards 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) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.