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AI Product Manager for Data Innovation
2 weeks ago
Bloomberg is a leading provider of financial data and analytics, serving clients around the world. Our company is built on a foundation of innovation and excellence, with a commitment to delivering high-quality solutions that meet the evolving needs of our customers.
Job DescriptionTransformative Leadership Role in AI Product ManagementWe are seeking an exceptional Technical AI Product Manager to join our Data department at Bloomberg. In this role, you will be responsible for driving the strategy and execution of AI within our products on the Bloomberg terminal. Your primary objective will be to transform our Data department by inventing and applying AI technology, collaborating with top-notch AI and engineering teams.
This position requires a technical product manager who can coordinate efforts across multiple departments, including Data, Engineering, and AI. You will be involved in the end-to-end process from idea generation to model development and production deployment.
Main Responsibilities- Translate strategic priorities into a product roadmap and craft detailed product specifications by laying out a vision, defining and communicating the strategic vision for IE solutions aligning with needs, priorities, and goals
- Engage partners and subject matter experts in a highly matrixed organization, including departments such as Data, Product, AI, and Engineering, to understand requirements, gather feedback, and ensure alignment with business goals
- Collaborate with Engineering and Data teams to define implementation plans, prioritize work items, triage issues, and run meetings in line with the greater roadmap
- Develop metrics to oversee and measure the impact of new processes to evaluate the performance, efficiency, and impact of AI solutions against operational goals, iterating and optimizing based on feedback and results
- Make decisions and recommendations backed by data, evidence, and pragmatic judgment
- 4+ years of experience working with artificial intelligence, including generative AI and large language models, as well as their potential uses
- Bachelor's degree in Computer Science, Engineering, Data Science, or a science, technology, engineering, or mathematics (STEM) field
- Ability to effectively articulate a product vision and strategy
- Ability to effectively collaborate with technical teams to translate product vision into actionable requirements
- Experience with developing product requirements documents, product roadmaps, and associated artifacts
- Experience performing research, developing a deep understanding of the business opportunities, and eliciting information from diverse groups of partners and developing clear technical, actionable requirements