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This listing doesn't post a salary. Most similar roles pay
$177,250–$229,800.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1226 open roles
on FindRole.
Listed pay typically runs
$156,750–$215,000
across 5 roles with salary data.
The Personalization Product Manager - Vice President joins the Personalization & Customer Insights Team to lead the end-to-end product life cycle for innovative offerings. This role involves acting as the voice of the customer to develop profitable products, guiding successful launches, and managing the product backlog from discovery through continuous improvement. You will lead data discovery and analytics to build customer journeys with an Omni Channel Personalization focus, supporting next-best-action capabilities across mobile, web, contact center, branch, and marketing. Key responsibilities include designing recommendation and agentic solutions, running experiments, and operationalizing scalable model lifecycle infrastructure. Required skills include expertise in large-scale structured query language, event-based data, streaming concepts, dimensional modeling, and operational data design while upholding data governance, privacy, and responsible AI standards.
Develop a product strategy and vision that delivers measurable value to customers.
Lead data discovery and market research to translate findings into well-defined product roadmaps.
Translate user research and analytics into epics, user stories, and acceptance criteria.
Manage the product backlog and oversee delivery across discovery, launch, and continuous improvement.
Partner with data science and engineering teams to design and iterate on recommendation and agentic solutions.
Build frameworks to track key success metrics including cost, functionality, risk posture, and reliability.
Champion data governance, lineage, and quality across all data and AI-driven decisions.
Uphold responsible AI practices by ensuring privacy, consent, and fairness standards are met.
What we're looking for
8+ years of experience or equivalent expertise in product management, data analytics, or a relevant domain area.
Advanced knowledge of the product development life cycle, design, and data analytics.
Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.
Strong expertise in large-scale structured query language, event-based data, streaming concepts, dimensional modeling, and operational data design.
Excellent data literacy to turn user research, journey insights, and product metrics into decisions and roadmaps.
Strong understanding of data governance, lineage, quality, controls, and audit requirements in a regulated environment.
Excellent stakeholder management skills to align cross-functional teams and drive decisions independently.
Excellent communication skills to translate complex data and intelligence concepts into clear business outcomes.
Demonstrated prior experience working in a highly matrixed, complex organization (preferred).
Experience with AI-driven or agentic product experiences, personalization engines (preferred).
Experience in Data Analytics and building trusted data foundations for executive reporting and auditability (preferred).
Experience running A/B Testing and experimentations (preferred).
Machine Learning
Data Science
SQL
Python
AWS
Snowflake
Jira
Tableau
Grafana
Event-Driven Architecture
Product Development Life Cycle
Data Analytics
Experiment Design
User Research
Journey Mapping
Backlog Management
Data Products
APIs
Kafka
Event Streaming
System Integration
Data Contracts
Schemas
Product Development Life Cycle
Batch Systems
Metadata
data, architecture
Product Discovery
AI
SQL
AWS
Databricks
Data Analytics
Product Development Life Cycle
Product Roadmap
Product Backlog
Multi-agentic Workflows
Model Context Protocol
BI Tools
Large Language Models
AI Orchestration
Reporting
Requirements Definition
Data Analytics
AI
Python
SQL
Big Data
Product Development Life Cycle
Product Roadmap
Graph Data Models
Product Backlog
Requirements Definition
Market Research
Product Strategy
AI
ML
LLM
Python
SQL
A/B Testing
Product Development Life Cycle
Data Analytics
Responsible AI
GitHub Copilot
Claude
Model Evaluation
Product Roadmap
Technical Design
Experimentation