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VP - Data Product Specialist

Job in Wilmington, New Castle County, Delaware, 19894, USA
Listing for: JPMorgan Chase
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Ignite your passion for product innovation by leading customer-centric development, inspiring solutions and shaping the future with your strategy vision and influence.

As a Product Vice President in Card Data Product, you lead innovation through the development of products and features that delight customers and partners. As a leader on the team, you leverage capabilities to challenge traditional approaches, remove barriers to success, and foster a culture of continuous innovation that helps inspire cross-functional teams create groundbreaking solutions that address customer needs. We are seeking a dynamic and experienced Product Manager to lead our Core Data Products pillar on the Credit Card Data Product team.

This role presents the opportunity to drive strategy and implementations of analytical data products for our businesses and customers that can improve our businesses insights and ability to serve our customers. You will be able to drive new Core Data Products in the Lake based on understanding the business strategy, and customers needs.

Job Responsibilities
  • Define the product roadmap, vision, development, execution and risk management and effectively communicate the business outcomes the roadmap is intended to facilitate

  • Coaches and mentors the Core Business Data Product team on best practices, such as solution generation, market research, storyboarding, mind-mapping, prototyping methods. Helps uplift the team to develop a product mindset to help tell a story of the importance of data, the generative AI solutions and how drives business outcomes and enhancing our customers experience.

  • Partner with data owners, engineering, data science, and business stakeholders to deliver scalable, compliant data product solutions and generative AI solutions.

  • Ability to analyze data, extract actionable insights, and connect findings to business strategy, highlighting the importance of data quality and centralized data management in a data lake.

  • Translates business requirements into clear technical specifications and user stories for development teams.

  • Owns product performance and is accountable for investing in enhancements to achieve business objectives .

  • Lead modernization initiatives, including migration from legacy systems to cloud-native architectures such as AWS and Data Lake.

  • Develops a strong partnership with Stakeholders; communicating product updates, influencing the importance of data to the organization, progress and strategy to stakeholders; including executives and customers.

  • Experience in API-first product design, data governance, and real-time data processing.

  • Proven success in delivering enterprise-scale data products with measurable business outcomes.

  • Hands-on exposure to tools such as Snowflake and can dive into the detail.

Required qualifications, capabilities and skills
  • 8+ years of experience or equivalent expertise delivering products, projects, or technology applications.

  • Extensive knowledge of the product development life cycle, technical design and data analytics.

  • Proven ability to influence the adoption of key product life cycle activities including discovery, ideation, strategic development, requirements definition and value management.

  • Experience in driving change within organizations and managing stakeholders across multiple functions.

  • Structured thinker and effective communicator with excellent written and verbal communication skills.

  • Familiarity with different data environments such as AWS S3, Snowflake and Data Bricks.

  • Strong understanding of agile methodologies and experience with them.

  • Technical knowledge of data engineering, data pipelines, data modeling and data architecture.

Preferred qualifications, capabilities, and skills
  • Recognized thought leader within a related field.

  • High proficient in data querying with languages as Python, R, Perl, SQL.

  • Experience in product development.

  • Subject matter expertise in the Credit Card area.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers…

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