Used Tools & Technologies
GenAIRequired 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.
Software Development @ 4
Machine Learning @ 4
Leadership @ 6
People Management @ 6
Communication @ 7
Prioritization @ 4
Product Management @ 4
Technical Leadership @ 6
Generative AI @ 4
AI @ 4
Data Pipelines @ 4
- 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
Bloomberg’s CTO Office builds future-looking technical and product solutions for the Bloomberg Terminal, including machine learning-powered products, cloud infrastructure and strategy, open source stewardship, and generative AI. The Data Foundations group oversees the software infrastructure powering and connecting Bloomberg’s structured data — from ingestion and modeling, unified managed infrastructure, data access and delivery to end-user surfaces.
This role is a technical product management leader responsible for defining and delivering the product vision and roadmap for core data infrastructure and platforms. You will lead and grow a team of technical product managers, collaborate with engineering, user research, and business stakeholders, and drive products from inception through planning, execution and delivery.
Responsibilities
- Define and deliver a compelling product vision and roadmap for data platforms that empower AI/ML innovation.
- Build, mentor, and lead a high-performing team of technical product managers, fostering a culture of innovation, collaboration, and ownership.
- Translate product ideas into clear specifications, user stories, and requirements.
- Collaborate deeply with peers across the Data & Analytics organization, as well as design and engineering partners, to ensure seamless execution through the product lifecycle.
- Establish and track KPIs to evaluate product performance, using data-driven insights to guide prioritization, feature iteration, and strategic direction.
- Identify, scope, and lead integration initiatives in partnership with internal business and system owners to drive end-user outcomes.
- Stay at the forefront of innovations in data infrastructure and AI to ensure Bloomberg’s platforms remain best-in-class and future-ready.
Requirements
- Bachelor’s degree or equivalent practical experience.
- 10+ years of experience in product management or related technical roles.
- 5+ years of people management experience with technical leadership responsibility.
- 5+ years taking technical products from conception to launch (end-to-end, 0 to 1, etc.).
- Experience working with data architecture, data lakes, and data pipelines.
- Experience launching and scaling data products or platforms.
- A data-driven approach to product strategy and strong customer centricity.
- Experience creating product vision and roadmap, evaluating trade-offs of technical approaches, prioritization, and release management.
- Strong collaboration and communication skills; ability to work across cross-functional teams and decompose large technical/business problems.
Preferred
- Master’s degree in a technology or business related field.
- Experience as a product manager in the data or AI/ML domain.
- Experience in software development or engineering.
- Experience leading strategy and translating business needs into technical requirements.
- Deep understanding of modern software architecture, data systems, semantic knowledge graphs and AI/ML concepts.
Salary & Benefits
- Salary Range: 180000 - 350000 USD annually + Benefits + Bonus.
- Benefits 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 wellness programs. (The Company does not provide benefits directly to contingent workers/contractors and interns.)
Location
- New York (Bloomberg office)