Vice President, Product Manager, Customer Growth and Relevance

JPMorgan Chase

Confirmed live today High trust

Quick summary

Work type: On-site
Location: New York, NY
Employment: Full-time
Posted: 8 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $200k

$154k $239k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $168,750–$230,850.

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.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Vice President, Product Manager, Customer Growth and Relevance

Role Posting Log in to save

As a Vice President, Product Manager on the Chase Travel Customer Growth and Relevance team, you will lead end-to-end product ownership for a dedicated pillar focused on driving customer loyalty and engagement. You will build tools and capabilities that deliver tailored experiences, ensuring each cardmember's travel journey feels personal and useful. Your daily work involves shaping vision and strategy, defining roadmaps, and translating behavioral signals into relevant content, offers, and recommendations. You will partner with engineering, data science, analytics, design, and marketing to turn insights into measurable growth. Key skills include data fluency, A/B and multivariate testing, and Agile delivery. You must navigate ambiguity to transform early concepts into scalable features while balancing relevance, scalability, data privacy, and governance within the travel platform's personalization and recommendation systems.

What does a Product Manager earn in New York?

Median $195400 from 308 postings across 40 companies.

See salary data

Skills

A/B Testing Multivariate Testing Agile Product Development Lifecycle Machine Learning Generative AI Product Roadmap KPIs Customer Data Platforms UX/design Product Discovery Acceptance Criteria Data Privacy Governance

What you'll do

Own the end-to-end product roadmap and backlog for a specific pillar within the Customer Growth and Relevance team.
Build business cases and secure leadership buy-in to prioritize investments for customer engagement, loyalty, and retention.
Define strategies for using customer data and behavioral signals to deliver personalized content, offers, and recommendations.
Identify growth opportunities and frame customer problems by analyzing quantitative and qualitative data.
Design, run, and interpret A/B and multivariate experiments to validate hypotheses and optimize product experiences.
Translate customer insights into clear product requirements, acceptance criteria, and sequenced, deliverable initiatives.
Lead Agile delivery of growth and personalization capabilities through disciplined planning and release management.
Manage and coach a direct report by setting clear ownership, expectations, and professional growth goals.

What we're looking for

8+ years of experience in product management or a closely related domain.
Demonstrated record of delivering measurable business and customer outcomes in growth, engagement, loyalty, personalization, or consumer digital products.
Advanced knowledge of the product development lifecycle, including discovery, UX/design collaboration, delivery, launch, and optimization.
Proven ability to lead end-to-end product lifecycle activities including problem framing, strategy definition, and requirements management.
Strong data fluency to define metrics, analyze customer behavior, and partner with analytics and data science teams.
Hands-on experience with experimentation, including hypothesis design, A/B testing, and interpreting results.
People management experience, including coaching and developing product talent.
Strong technical acumen regarding personalization, recommendation engines, customer data platforms, and machine learning-driven experiences.