JPMorgan Executive Director-Data Product Manager Pay Time Data Products 

United States, New York, New York 

428665690

We are looking for an experienced product manager to own both Pay and Time Data related to our 300k+ employees. This role will require close partnership with both functional domain leads (e.g., operations, payroll, and compensation professionals) as well as technical stakeholders (e.g., engineers, modelers, technical architects). This role will have impact both within the central corporate functions as well as firmwide across all lines of business.

As an Executive Director-Data Product Manager within the engineering team, you will collaborate to create an innovative roadmap that promotes JPMC's strategic goals and enhances the commercial worth of Pay and Time data in terms of governance, cost, and quality. Additionally, you will take a forefront position in promoting the adoption of automation and AI.

Job Responsibilities:

• Partner with your engineering and modeling team leads (and product + engineering leadership) to craft and execute a roadmap for the Pay and Time data domain.
• Drive metrics strategically relevant to JPMC through technology enhancements.
• Develop deep expertise in the firm's data and the objectives of the users of that data.
• Create buy-in for your product's vision both internally and with key Line of Business & Functional partners.
• Require occasional international travel.

Required qualifications, capabilities and skills:

• 3+ years of product management experience
• Technical understanding of data technologies, data pipelines and data platforms
• Qualitative discovery - uncovering opportunities and assessing value in qualitative research settings (focus groups, interviews, demos, etc)
• Quantitative discovery - uncovering opportunities and assessing value in quantitative research settings (analyzing usage metrics, segmentations, etc)
• Engineering partnership - imparting empathy of end-users to your engineering partners and working together through disagreements to arrive at innovative solutions
• Managing to a metric - ability to organize a team around understanding drivers of a metric and experimenting with ways to address those driers
• Empathy - ability to understand perspectives of colleagues and influence collaboratively
• AI familiarity - understanding of objective functions, error rates, and incremental value measurement

Preferred qualifications, capabilities and skills:

• Familiarity with data technologies, data pipelines and data platforms