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JPMorgan Senior Product Associate - Data & Machine Learning United States, New York, New York 902027229
23.11.2024
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Job responsibilities
- Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery
- Considers and plans for upstream and downstream implications of new product features on the overall product experience
- Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers
- Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle
- Writes the requirements, epics, and user stories to support product development
- Collaborates closely with Data Scientists and ML Engineers to build and train production-grade ML models on large-scale datasets, addressing various business use cases for different lines of business (LOBs) in the Consumer and Community Bank.
- Oversees product planning and project management across multiple teams.
- Engages with LOBs to understand data needs for modeling efforts and partners with Data Providers to acquire necessary data
Required qualifications, capabilities, and skills
- 3+ years of experience or equivalent expertise in product management or a relevant domain area
- Proficient knowledge of the product development life cycle
- Experience in product life cycle activities including discovery and requirements definition
- Developing knowledge of data analytics and data literacy
- Excellent project management skills and motivated to achieve results
- Structured & strategic thinker, effective communicator with excellent written, presentation and communication skills
- Experience working with Data Scientist and ML Engineers delivering ML solutions to a production customer facing environment
- Experience with JIRA, epic/story refinement, epic/story writing, PBR, etc.
Preferred qualifications, capabilities, and skills
- Hands on experience with AL/ML solutions
- BS or MS in Engineering, Data Science, or comparable field of study
- Strong knowledge of current digital banking trends
- Experience working with Recommendation Systems or Digital Marketing
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