Senior Product Associate - Personalization & Customer Insights
Senior Product Associate - Personalization & Customer Insights
Posted on :
16-05-2025
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1 Vacancy
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Job Description
Description
As a Senior Product Associate in Personalization & Customer Insights the candidate will contribute to the team by leveraging their expertise in product development and optimization to make a significant impact supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with crossfunctional teams and play a crucial role in shaping the future of our products and ongoing success.
You will join Chases Personalization & Customer Insights team as an innovative Product Associate leveraging your experience in AI/ML AWS and API product development to contribute to the rapidly growing field of making banking simple human and personal. In this role you will be part of the Data and ML Platform team bringing intelligent personalization to our customers. You will collaborate with product partners data scientists and technology teams throughout the model development lifecycle.
Unleash your expertise in product development and optimization by leveraging user research analyzing metrics and collaborating across one of the worlds most innovative financial organizations.
As a Senior Product Associate in Personalization & Customer Insights the candidate will contribute to the team by leveraging their expertise in product development and optimization to make a significant impact supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with crossfunctional teams and play a crucial role in shaping the future of our products and ongoing success.
You will join Chases Personalization & Customer Insights team as an innovative Product Associate leveraging your experience in AI/ML AWS and API product development to contribute to the rapidly growing field of making banking simple human and personal. In this role you will be part of the Data and ML Platform team bringing intelligent personalization to our customers. You will collaborate with product partners data scientists and technology teams throughout the model development lifecycle.
Job responsibilities
- Partner with the Product Manager to identify new feature opportunities that reflect the needs of our customers and the market through user research and discovery.
- Consider and plan for upstream and downstream implications of new data features on the overall product experience.
- Support the collection of user research journey mapping and market analysis to inform the strategic product roadmap and provide insights on potential data features that add value to customers.
- Analyze track and evaluate feature metrics ensuring adherence to time cost and quality targets throughout the feature development lifecycle.
- Write requirements epics and user stories to support feature development and distribution.
Required qualifications capabilities and skills
- 3 years of experience or equivalent expertise in product management or a relevant domain area
- Proficient in Product Development Life Cycle: Experience in all phases of the product life cycle including discovery and requirements definition ensuring effective product development and optimization.
- Experience in Data Management for Product Development: Skilled in data discovery computation distribution and taxonomy ensuring data is effectively leveraged to support product development for personalization initiatives.
- Excellent project management skills with a strong motivation to achieve results.
- Structured and strategic thinker with effective communication skills including excellent written presentation and interpersonal abilities.
- Experience with JIRA including epic/story refinement epic/story writing and participation in PBR (Product Backlog Refinement) sessions
Preferred qualifications capabilities and skills
- Experience working with data scientists and ML engineers to deliver ML solutions in a production customerfacing environment.
- Handson experience with AI/ML solutions.
- BS or MS in Engineering Data Science or a comparable field of study.
- Strong knowledge of current digital banking trends.
- Experience working with recommendation systems or digital marketing.
Required Experience:
Senior IC
Employment Type
Full-Time
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