Senior Product Associate
JPMorgan · Banking & Financial Services
- Hyderabad, Telangana, India
- On-site
- Posted today
- Apply by 26 Oct
- Product Management
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.
Work closely with data and analytics professionals to interpret and analyze data.
Facilitate data field transfers between source systems.
Research data-related fields to identify gaps and build epics and stories to address them.
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 requirements, epics, and user stories to support product development.
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.
Advanced Jira skills to write Jira Query Language (JQL), configure epics, stories, and tasks to support product development.
Runbook creation/maintenance, PowerPoint presentations, and workstream documentation
Preferred Qualifications, Capabilities, and Skills
SQL and data analytics experience is a plus.
Understanding of large-scale marketing campaigns.
Experience in product analysis, focusing on data innovation and business banking deposits.
Strong research and technical skills in the data space.
Experience in researching complex transactions and building control reports.
Agentic AI and LLM use case discovery
AI-powered marketing and customer engagement solutions
Prompt design, testing, and evaluation
Data governance, controls, and responsible AI
Partnering with Data Science, AI, Architecture, and Product teams
AI Tools : LLM Suites, Claude, Co Pilot Git Hub, BMAD, Confluence, Share Point