Manager, Product Management – Operational Reports

Mastercard is hiring a Manager, Product Management – Operational Reports. Level rates it ; you can apply on Mastercard.

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Level rates this role Little AI ●○○○: aI is not part of the work.
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Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy 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

Manager, Product Management – Operational Reports

Overview

Mastercard's Operational Intelligence team is building the next generation of data products that help customers access and use operational insights in new ways. As part of this effort, the team is developing innovative products that deliver data through APIs and conversational experiences, creating alternatives to traditional reporting solutions.

The Manager, Product Management will own a focused product area within this portfolio and work closely with engineering, product development, and business stakeholders to assess the impact of enterprise network modernization across existing and new reporting solutions. This role combines product ownership, roadmap execution, stakeholder management, and commercial thinking within a highly visible growth area.

Role

• Own a specific product area focused on network modernization impacts across the entire suite of reporting capabilities/solutions.
• Gather customer, stakeholder, and business requirements and translate them into product priorities.
• Define and maintain product requirements for engineering teams.
• Partner closely with technical teams throughout product development.
• Contribute to roadmap development and future product enhancements.
• Support pricing discussions and commercial planning activities.
• Help prepare products for launch and market adoption.
• Collaborate with stakeholders across product, engineering, and business teams.
• Monitor feedback and identify opportunities to improve customer value.
• Support the evolution of Operational Intelligence's broader data-product strategy.

All About You

• Previous experience managing or delivering technology-enabled products.
• History of working on data-heavy products, analytics solutions, or digital platforms.
• Ability to convert business problems into product requirements.
• Experience partnering with engineering and technical teams.
• Strong communication and stakeholder-management skills.
• Commercial awareness and understanding of customer needs.
• Ability to operate in fast-moving and evolving product environments.
• Prior launching, improving, or scaling products is preferred.
• Knowledge of payments, financial services, analytics, or reporting solutions is beneficial.
• Exposure to APIs, AI-enabled products, dashboards, data platforms, or digital experiences is advantageous.

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. THIS POSTING RELECTS ONE OR MORE CURRENT VACANCIES ON OUR TEAM, AND MASTERCARD INTENDS TO FILL THIS POSITION BY 01/18/2027. If the fill date has passed, Mastercard intends to fill this position as soon as possible.

Pay Ranges

O'Fallon, Missouri: $130,000 - $221,000 USD

How we rate this

Manager, Product Management – Operational Reports at Mastercard rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.