at J.P. Morgan
Bulge Bracket Investment BanksPosted 2 months ago
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As a Card Analytics Data Product Manager you'll lead the end-to-end product lifecycle for credit card data products, defining strategy, roadmaps, and success metrics. You will partner with engineering, data science, and business stakeholders to deliver scalable, cloud-native and compliant data products and generative AI solutions. Responsibilities include discovery, backlog ownership, modernization from legacy systems to AWS/data lake architectures, and translating business requirements into technical specifications and user stories. The role requires 5+ years of product management experience and strong technical knowledge of data engineering, APIs, data governance, and agile practices.
- Compensation
- Not specified
- City
- New York City
- Country
- United States
Currency: Not specified
Full Job Description
Location: New York, NY, United States
You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.
As a Product Manager in Credit Card Data Product, 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.
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
- Coaches and mentors the Analytics 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
- Partners with data owners, engineering, data science, and business stakeholders to deliver scalable, compliant data product solutions and generative AI solutions
- Leads 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
- Demonstrates success in delivering enterprise-scale data products with measurable business outcomes
- Analyzes data, extracts actionable insights, and connects 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
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
- 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 and collaboration tools such as Jira and Confluence
- Technical knowledge of data engineering, data pipelines, data modeling and data architecture
- Experience in API-first product design, data governance, and real-time data processing
- Expertise in delivering products, projects, or technology applications
Preferred qualifications, capabilities, and skills
- Demonstrated prior experience working in a highly matrixed, complex organization
- High proficient in data querying with languages as Python, R, Perl, SQL
- Experience in product development
- Bachelor’s degree or equivalent work experience
