
Global financial services firm
Senior Product Delivery Associate - Offers & Shopping
Required skills
Python
Java
Node.js
SQL
PostgreSQL
The Offers & Shopping Governance and Business Operations team is responsible for leading efforts to shape operational excellence. We partner with teams across the firm, including other Card and Connected Commerce pillars, functional partners, and stakeholders from legal, risk, controls, and compliance to maintain an effective oversight and controls environment in accordance with the Firms standards.
As a Senior Product Delivery Associate in Offers & Shopping, you will help translate strategy into action by planning, coordinating, and delivering initiatives that improve customer experience, strengthen controls, and enhance operational performance. A core focus of the role includes leading the investigation, triage, and remediation of statement credit issues and related production incidents, while also contributing to portfolio-level execution, benefits tracking, and continuous improvement. You will partner across product, operations, and technology to ensure timely, accurate outcomes for cardholders and merchants and to implement durable, scalable solutions.
Job Responsibilities:
- Lead end-to-end investigation, triage, and resolution of statement credit inquiries and production issues, ensuring timely, accurate customer outcomes.
- Leverage data to identify patterns and systemic issues leading to missing credits, collaborating with cross-functional teams to implement long-term fixes.
- Lead structured cross-functional triage for production issues to coordinate root-cause analysis and sustainable solutions.
- Support customer journey initiatives, prioritization, and resourcing, aligning work to customer impact, risk, and business value.
- Convert business strategies into actionable roadmaps, milestones, and OKRs, and drive cross-functional execution to plan.
- Execute and oversee remediations to apply missing credits and correct downstream impacts in line with SLAs.
Required Qualifications, Capabilities and Skills
- Bachelor’s degree in Analytics, Computer Science, Engineering, or equivalent experience.
- 3+ years of experience in platform engineering
- Strong proficiency with relational databases (e.g., SQL Server, PostgreSQL) and data analysis.
- Experience in one or more backend programming languages (e.g., Java, Python, Node.js).
Preferred Qualifications, Capabilities, and Skills
- Prior experience working in credit card, payments, or financial services environments, with a strong understanding of statement credits, transaction processing, and customer remediation.
- Strong written and verbal communication skills, with the ability to clearly document findings and collaborate across technical and non-technical teams.
- Ability to interpret complex data sets, identify trends, and draw actionable insights to resolve credit discrepancies and production issues.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
Employees
New York City
Headquarters
$500B
Valuation
Reviews
10 reviews
3.8
10 reviews
Work-life balance
3.5
Compensation
4.0
Culture
3.8
Career
3.2
Management
2.8
68%
Recommend to a friend
Pros
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
Cons
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
Salary Ranges
44 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1 reports
$139,000
total per year
Base
$107,000
Stock
-
Bonus
-
$139,000
$139,000
Interview experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
50%
Experience
Positive 25%
Neutral 75%
Negative 0%
Interview process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
Common questions
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
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