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JPMorgan Product Manager Data Infrastructure United States, New York, New York 121210440
24.04.2025
Job responsibilities
- Develops a product strategy and product vision that delivers value to customers
- Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
- Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
- Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
- Conducts market research and gather customer feedback to identify opportunities for product enhancements and new offerings.
- Defines product requirements, create detailed specifications, and prioritize features based on customer impact and business value.
- Partners closely with marketing and client engagement teams to develop go-to-market strategies and support product launches.
- Serves as a subject matter expert on AI/ML technologies and trends, providing guidance and insights to internal teams and customers.
Required qualifications, capabilities, and skills
- 5+ years of experience or equivalent expertise in product management or a relevant domain area
- Advanced knowledge of the product development life cycle, design, and data analytics
- Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
- Strong understanding of AI/ML technologies, data science, and cloud computing platforms.
- Experience with Databricks or similar data engineering and analytics platforms.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Strong analytical and problem-solving skills, with a data-driven approach to decision-making.
- Ability to manage multiple projects and priorities in a fast-paced environment.
Preferred qualifications, capabilities, and skills
- Demonstrated prior experience working in a highly matrixed, complex organization
- Experience with agile development methodologies and tools.
- Familiarity with big data technologies such as Apache Spark, Hadoop, or similar frameworks.
- Familiarity with GenAI use cases (e.g., LLMs, RAG, Model Context Protocol, Agents, AI Gateway)
- Familiarity with Model Development Lifecycle (e.g., MLOps)
- Strong business acumen and ability to translate technical capabilities into business value.
- Certification in product management or related fields.
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