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职位JPMorgan Chase

Senior Product Associate Comp and Pay Intelligence

JPMorgan Chase

Senior Product Associate Comp and Pay Intelligence

JPMorgan Chase

Jersey City, NJ, United States, US

·

On-site

·

Full-time

·

4w ago

As a motivated senior product associate within the Compensation & Pay Intelligence Product team within the Employee Experience Product Organization of HR, you will be a part of a team developing and iterating on our product strategy to deliver competitive and fair compensation strategies to attract, motivate, and retain talent.

The Compensation & Pay Intelligence team focuses on critical functions across the compensation ecosystem spanning across pay transparency, pay structures, and pay & compensation capabilities that support recruiting, mobility, and annual compensation processes. You will support the ideation, development and iteration of new product ideas and iterative enhancements to support the employee & manager experiences in this domain. You will be accountable for the delivering with quality, against key objectives while building a best in class employee experience.

You’ll operate within Employee Experience Product Organization within HR to translate strategy into outcome-based roadmaps for a defined sub-domain, balancing delivery velocity, quality, risk, and stakeholder satisfaction. You combine strong product management skills, analytical rigor, and structured problem solving with a passion for creating intuitive, scalable experiences for employees, managers, HR partners, and senior leaders across the firm.

Key Responsibilities:

  • Develop Product Strategy and Planning Manage and deliver on major workstreams and execution plans for a portfolio of capabilities within the compensation and pay intelligence domain, with measurable targets and risk management.
  • Monitor market trends and conduct competitive analysis to identify opportunities in compensation and pay intelligence
  • Ensure Delivery and Lifecycle Excellence Participates in end-to-end lifecycle activities across discovery, requirements, solution design, delivery, and value realization, driving reusability, reliability, and cost-effectiveness.
  • Gathers and understands user feedback alongside and market best practices to drive continuous improvement in the compensation and pay intelligence domain.
  • Partners with key product teams across recruiting, performance management, and compensation.
  • Lead Cross-Functional Leadership and Governance Partner with business, technology, product, data, design, legal, regulatory, and operations to design, build, and launch tools, frameworks, and platforms that enable key functions across the compensation and pay intelligence space.
  • Set clear goals and OKRs; proactively identify risks and mitigation strategies; own product performance and invest in enhancements to meet objectives.
  • Shares inputs to vision and strategy, with ability to communicate progress to stakeholders across teams and levels; operate effectively in a complex, rapidly changing, and regulated environment.
  • Innovation and AIIntroduce AI-enabled solutions that improve employee, manager, and HR experiences, driving efficiency and reducing operational risk.
  • Identify Key Areas of Focus Global pay transparency, pay intelligence and insights, pay and compensation capabilities that support the end-to-end employee lifecycle from hire to offboarding, and key compensation experiences within HCM.
  • Implement Innovation and AIIntroduce AI-enabled solutions that improve employee, manager, and HR experiences, driving efficiency and reducing operational risk.

Required Qualifications, Skills, and Capabilities:

  • 3+ years of experience in Product Management
  • Proven knowledge of the product development lifecycle; demonstrated experience with technical and experience design.
  • Ability to define and maintain a product backlog and roadmap, present to stakeholders, and write stories and epics to partner across engineering, data, and design.
  • Meeting facilitation skills, experience leading workshops or design sessions with cross-functional stakeholders
  • Strong documentation skills; ability to craft well-written and informative briefs across the domain
  • Prioritization and execution skills; ability to work well under pressure and to manage multiple priorities
  • Intermediate capabilities in AI tools, M365 suite, and proficiency in Jira or related tools for product management
  • Proven data fluency and analytical capabilities, experience working with sets of data to lead decision-making and identify insights
  • Demonstrated ability to define and track OKRs and KPIs to measure success and optimize strategy.

Preferred qualifications, capabilities, and skills

  • Domain experience in employee compensation and pay intelligence domains
  • Knowledge of HCM platforms (e.g., Oracle HCM) and related HRIS systems.
  • Experience in integrating AI technologies into product development, with a focus on improved end user experiences and driving efficiencies while reducing operational risk
  • Preferred experience supporting global products and requirements within a globally matrixed, regulated organization with a proven ability to represent and navigate across senior leaders across functions

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关于JPMorgan Chase

JPMorgan Chase

JPMorgan 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+

员工数

New York City

总部位置

$500B

企业估值

评价

3.8

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

3.8

职业发展

3.0

管理层

2.5

65%

推荐给朋友

优点

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

缺点

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

薪资范围

41个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1份报告

$139,000

年薪总额

基本工资

$107,000

股票

-

奖金

-

$139,000

$139,000

面试经验

5次面试

难度

3.0

/ 5

时长

14-28周

录用率

40%

体验

正面 20%

中性 80%

负面 0%

面试流程

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

常见问题

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study