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Product Manager - Databricks and Snowflake

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JP Morgan Chase Company

New York, NY (In Person)

Full-Time

Posted 3 weeks ago (Updated 1 week ago) • Actively hiring

Expires 6/16/2026

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Job Description

The Chief Data & Analytics Office (CDAO) organization sets the firm's data and AI strategic direction, delivers firmwide data/AI solutions and expertise, and sets standards for responsible and controlled adoption of Databricks and/or Snowflake. As a Vice President-Product Manager in the Chief Data & Analytics Office (CDAO) SaaS Data Infrastructure Team, you are an integral part of unveiling cutting-edge Data & AI/ML products across the entirety of JPMC, while leading the end-to-end product life cycle. As a product manager, you are responsible for revolutionizing how the product team stays organized and communicates. You are responsible for acting as the voice of the customer, while utilizing your deep understanding of our Data Products & AI/ML roadmap; you guide successful launches, champion crucial feedback, and ensure top-tier client experiences. Job responsibilities Collaborate with internal teams to identify key stakeholders, set project goals, and ensure accountability throughout the implementation lifecycle. Understand the data/technology landscape across Financial Institutions and data management trends and challenges. Define and support strategic initiatives for firmwide Databricks & Snowflake features. Drive continuous improvement of operating models by identifying strategic opportunities to enhance planning processes, developing innovative tools and methodologies, and championing the adoption of best practices that increase organizational productivity and strategic agility. Required qualifications, capabilities, and skills 5+ years of relevant experience with product management or program management responsibilities. Knowledge of emerging technologies (GenAI, Agentic solutions) with a goal of learning how to drive strategic process innovation and operational excellence. Must have experience with some of the following cloud computing platforms: Databricks, AWS, Snowflake, and Azure

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