About this role
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