CCB - Credit Card Product Manager -Vice President
J.P. Morgan
About the role
About
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
Responsibilities
- Ideate and improve business-ready datasets when there’s a clear business justification. Be able to provide business ready datasets with enhanced usability after understanding the use cases of the data in thorough detail
- Partner with data owners, engineering, data science, and business stakeholders to deliver scalable, compliant data product solutions and generative AI solutions.
- Drives new GenAI use cases and product created to improve the Card business
- Translates business requirements into clear technical specifications and user stories for development teams and can articulate the business value of the data product to varying audiences.
- 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 & articulating the business value of centralizing data
- May be required to coach and mentor a small team of junior product managers 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 this moves the needle with the businesses and enhancing our customers
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
- Strong time management skills, with an ability to multitask and work under pressure and engage with colleagues across regions and time zones.
- 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
- Prior experience in a Credit Card organization / background is preferred, not mandatory
Requirements
- 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
- Strong time management skills, with an ability to multitask and work under pressure and engage with colleagues across regions and time zones.
- Technical knowledge of data engineering, data pipelines, data modeling and data architecture
Responsibilities
- Ideate and improve business-ready datasets when there’s a clear business justification.
- Partner with data owners, engineering, data science, and business stakeholders to deliver scalable, compliant data product solutions and generative AI solutions.
- Drives new GenAI use cases and product created to improve the Card business
- Translates business requirements into clear technical specifications and user stories for development teams and can articulate the business value of the data product to a varying audiences.
- 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 & articulating the business value of centralizing data
- May be required to coaches and mentor a small team of junior product managers 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 this moves the needle with the businesses and enhancing our customers
Skills
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