Personalization Product Associate - Senior 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
• 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
• Owns sprint backlog end-to-end (epics, stories, refinement) and manages delivery across multiple engineering teams
• Leads ranking/selection and summary-quality testing (hypotheses, A/B design, measurement) with Data Science/ML partners
• Runs a data-led pipeline to mine behavior, identify “moments that matter,” and ship ranked candidate insights every sprint
• Defines triggers (events, account changes, thresholds) to push pre-computed insights to channels ahead of customer need
• Evolves a reusable generation platform; drives production hardening, compliance, and operational excellence with platform engineering
• Enables self-service discovery, partners with business/marketing, and tracks KPIs (cycle time, engagement lift, model performance, companion-data adoption, trigger coverage)

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
• Experience shipping ML/AI-powered features to production in close partnership with Data Scientists and Engineers
• Strong backlog management skills: JIRA epics, user stories, acceptance criteria, refinement, sprint planning, and delivery tracking
• Data literacy: ability to read model metrics, interpret experiment results (A/B tests, statistical significance), and make prioritization decisions based on data
• Experience working with Data Scientists on the model lifecycle — design, evaluation, deployment, and monitoring
• Comfortable with LLM-based products: prompt engineering concepts, quality evaluation methodologies, and output governance
• Clear, structured communicator with strong written and presentation skills; ability to translate technical complexity into stakeholder-ready narratives
• Proven ability to work across technical and non-technical teams — comfortable partnering with Data Scientists on model design and with marketing or product teams on use-case adoption

About The Team

The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.