Senior Product Manager: Pay Intelligence & Compensation

Testing Site - JPMC

Jersey City (NJ)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Job summary

Testing Site - JPMC is seeking a senior product associate to drive strategy for compensation and pay intelligence within Employee Experience. You will lead major workstreams, balance velocity with quality, and partner across HR, recruiting, data, and design to deliver value.

You will translate strategy into outcome-based roadmaps, define backlogs, and iterate on AI-enabled solutions to improve experiences for employees, managers, and HR partners while managing risk in a regulated environment.

Qualifications

  • 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.
  • 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

Responsibilities

  • Develop Product Strategy and Planning for a portfolio of compensation and pay intelligence capabilities.
  • Monitor market trends and conduct competitive analysis to identify opportunities in compensation and pay intelligence.
  • Participates in end-to-end lifecycle activities across discovery, requirements, solution design, delivery, and value realization.
  • Gathers user feedback and market best practices to drive continuous improvement.
  • Partners with key product teams across recruiting, performance management, and compensation.
  • Design, build, and launch tools, frameworks, and platforms enabling key functions in the compensation space.
  • Set clear goals and OKRs; identify risks and mitigation strategies; own product performance.
  • Communicate progress to stakeholders across teams and levels in a complex, regulated environment.
  • Introduce AI-enabled solutions to improve employee, manager, and HR experiences, driving efficiency and reducing risk.
  • Identify key areas of focus: global pay transparency, insights, and end-to-end employee lifecycle support.
  • Implement Innovation and AI across the product lifecycle to improve experiences and reduce operational risk

Skills

Product management
Backlog & roadmap planning
Story writing & epics
Workshop facilitation
Documentation
Prioritization & execution
AI tools proficiency
M365 suite proficiency
Jira or related tools
Data-driven decision making
OKRs & KPIs tracking

Tools

Jira
Microsoft 365
AI tool integration

Job description

Testing Site - JPMC is seeking a senior product associate to drive strategy for compensation and pay intelligence within Employee Experience. You will lead major workstreams, balance velocity with quality, and partner across HR, recruiting, data, and design to deliver value.

You will translate strategy into outcome-based roadmaps, define backlogs, and iterate on AI-enabled solutions to improve experiences for employees, managers, and HR partners while managing risk in a regulated environment.

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