Senior Product Associate

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