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Specialist, Product Management

Job in Virginia, St. Louis County, Minnesota, 55792, USA
Listing for: Mastercard
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 95000 - 158000 USD Yearly USD 95000.00 158000.00 YEAR
Job Description & How to Apply Below

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title

and Summary

Specialist, Product Management

Overview

The Services team is a key differentiator for Mastercard, providing cutting-edge products and services that help our customers. Focused on thinking big and scaling quickly around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base including issuers, acquirers, and merchants. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business experimentation (Test & Learn), and data-driven information and risk management services.

Test

& Learn

As a member of the Test & Learn Product Management team, you will build industry-leading experimentation software which brings sophisticated analytic techniques to businesses and users around the world. We are rapidly building new products, improving existing products, and expanding the ways we deliver Test & Learn to our clients. We are looking for innovators who can execute and evolve our product strategy, tackling the big challenges of the future.

In this role, you will be responsible for being the product lead on an analytics-oriented development team. Partnering closely with cross-functional collaborators like engineering and data science teams to understand software capabilities, UX designers and users to understand use cases and design solutions, and additional business stakeholders to understand commercial value and development priorities.

Position Responsibilities:
  • Drive the development of new functionality within an analytics platform used by the world’s largest organizations to make critical, multi-million-dollar decisions.
  • Develop product strategy derived from user research, market trends, customer pain points, and commercial priorities.
  • Translate a deep understanding of our users into specific products and features, leveraging user research, market research, sales and marketing knowledge, and usage data to inform decisions.
  • Own end-to-end feature development. Identify and prioritize problems, define use cases, design solutions, write requirements, support development and testing, and measure impact to inform future decisions.
  • Work hand-in-hand with cross-functional product teams to bring ideas to life, from problem identification to solution design, requirements development, testing, deployment, and performance measurement.
  • Work together with UX designers, engineers, and data science teams to deliver feature ideas and concepts to users. Executing strong technical, analytical, and design skills in order to build valuable enhancements and features to the software platform.
  • Act as a product evangelist, partnering with the sales team to deeply understand customer needs and effectively communicate the value proposition of the analytics
All

About You:
  • Strong technical aptitude and ability to understand complex technical concepts.
  • Can work closely with cross-functional partners like engineers, designers, sales, marketing, and users.
  • A quick learner with the ability to multi-task in a team environment, not afraid to ask questions and make decisions. Enthusiastic, effective team member and mentor.
  • Familiarity with data science concepts, machine learning algorithms and techniques,…
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