
at J.P. Morgan
Bulge Bracket Investment BanksPosted 8 days ago
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**Product Manager (Vice President) - Machine Learning & Intelligence Operations** Drive product innovation as a key leader in Wilmington, DE. Steer end-to-end product lifecycle, acting as the customer's voice to deliver profitable, high-quality AI/ML products. Key responsibilities include strategizing product vision, managing discovery, and defining product success metrics. Bring 5+ years of product management or relevant experience, along with expertise in life cycle, design, and data analytics. Lead cross-functional teams in a complex, matrixed organization.
- Compensation
- Not specified USD
- City
- Not specified
- Country
- United States
Currency: $ (USD)
Full Job Description
Location: Wilmington, DE, United States
As a Product Manager in Artificial Intelligence and Machine Learning organization, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.
- 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
- 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
- Demonstrated prior experience working in a highly matrixed, complex organization



