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JPMorgan Vice President Product Manager - Data & AI Platform Adoption Lead United States, New Jersey, Jersey City 871201571
18.09.2025
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Job responsibilities
- Presents platform strategy, vision and an overview of capabilities to CIB users
- 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
- Acts as the main liaison between CIB stakeholders and the Platform team.
- Collaborates with CAOs, CDOs, and Data Technology leads to prioritize business projects and initiatives.
- Translates use case needs into actionable platform requirements and define goals and success criteria.
- Prioritizes requirements based on business value and strategic alignment with CIB objectives.
- Ensures capability enhancements are understood and timelines agreed upon with Platform Product leads.
- Identifies and address tooling gaps in the platform's roadmap, and evaluate key risks with Platform Product, engineering, and architecture teams.
- Delivers iteratively on CIB user needs, resolve platform friction, and drive adoption across CIB.
Required qualifications, capabilities, and skills
- 5+ years of proven experience in a similar role delivering data & analytics products
- 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
- Strong understanding and hands-on experience with data, analytics, and ML technologies including but not limited to AWS, Databricks, Snowflake
- Excellent stakeholder management and communication skills.
- Ability to translate complex business needs into actionable technical requirements.
- Experience in prioritizing and aligning projects with strategic business goals.
- Bachelor’s or Master’s degree in a relevant field (e.g., Data Science, Computer Science, Business Analytics).
- Ability to quickly assimilate new topics and information with excellent attention to detail.
- Good verbal and written communication skills; ability to effectively communicate with senior management
Preferred qualifications, capabilities, and skills
- Demonstrated prior experience working in a highly matrixed, complex organization
- Knowledge of cloud data science and machine learning services
- Experience with tools for large scale and distributed data analysis (for example Spark)
- Understanding of capital markets, corporate finance, banking and/or asset management
- Strong project management skills and the ability to work in a fast-paced environment.
- Experience in large financial institution
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