Level

Mastercard

Specialist, Product Management, Data Provider Solutions (Open Finance)

Mastercard is hiring a Specialist, Product Management, Data Provider Solutions (Open Finance) in New York, United States. Level rates it ; you can apply on Mastercard.

Level's read on this job

  • On Level's scale, this finance role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions AI agents, product management and open finance among its tools and skills.
  • Level classes it as a senior role.
  • Mastercard has 1,100+ other open roles on Level.
  • Posted within the past week.

AI in this role

Drive open finance product initiatives, exploring API and agentic integration models, market trends, and provider-facing capabilities.

ai-agentsproduct-managementopen-financeapimarket-researchbusiness-intelligence

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

Specialist, Product Management, Data Provider Solutions (Open Finance)

Overview

The Data Access team is responsible for the connectivity that fuels this system — building and growing the partnerships, platforms, and capabilities that power Mastercard Open Finance, working across financial institutions, fintechs, digital banking providers, technology partners, and industry organizations.

Within Data Access, the Data Provider Solutions (DPS) team represents the voice of the data provider. We help financial institutions strengthen connectivity, improve data quality, gain greater visibility and control, and unlock new sources of value from their participation in the Open Finance ecosystem. Our team sits at the intersection of connectivity, data, product innovation, and commercial strategy, helping shape the future of how providers engage with Open Finance.

As a Specialist in Data Provider Solutions, you will help explore and develop the next generation of provider-facing products and capabilities. You will work across a variety of strategic initiatives, helping the team understand data provider needs, identify emerging opportunities across the Open Finance ecosystem, and translate ideas into product concepts and requirements. This is an opportunity for an intellectually curious and innovation-minded professional to develop broad product experience while helping shape new connectivity models, intelligence products, and other emerging areas of Open Finance.

Role

• Support multiple Data Provider Solutions initiatives – such as business intelligence products, new API connectivity models, and agentic integration models – helping to move new ideas from early exploration through product definition and development.
• Research the market and broader Open Finance ecosystem to identify evolving partner/customer needs, competitive trends, and opportunities for new products and capabilities.
• Analyze data and customer insights to uncover opportunities and help shape product strategy and recommendations.
• Support new product development, translating partner/customer needs and market opportunities into product concepts, requirements, and solutions.
• Independently drive product development initiatives, including technically complex products, from concept through execution.
• Collaborate cross-functionally across Product, Engineering, Sales, and other teams to build alignment and drive initiatives forward.
• Engage with financial institutions and design partners to understand needs, validate concepts, and inform product development and commercialization.

All About You

• Product-oriented and intellectually curious, with an ability to understand customer problems, navigate ambiguity, and think creatively about potential solutions.
• Strong analytical skills with the ability to interpret data, identify patterns, and develop meaningful insights.
• Technical curiosity and systems thinking, with an interest in understanding how data, APIs, platforms, and interconnected technologies work together.
• Commercial mindset with an ability to recognize how new products and capabilities can create value for customers and the business.
• Resourceful self-starter who proactively seeks out input, hunts down missing information, and keeps projects moving without waiting for step-by-step instructions.
• Strong communication and interpersonal skills, including comfort engaging with and presenting to cross-functional teams, clients, and senior stakeholders.
• Interest in financial services, fintech, AI agents, data, or Open Finance; prior product management or industry experience is preferred.

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 IS NOT FOR A CURRENT VACANCY, BUT MASTERCARD IS SEEKING RESUMES TO REVIEW IN THE FUTURE WHEN JOBS BECOME AVAILABLE.

Pay Ranges

Purchase, New York: $95,000 - $158,000 USD

Salt Lake City, Utah: $83,000 - $137,000 USD

How we rate this

Specialist, Product Management, Data Provider Solutions (Open Finance) at Mastercard rates 30 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsProduct ManagementOpen FinanceAPIMarket ResearchBusiness Intelligence

Also common in finance jobs at this level

Pay

Typical finance job
$107k

This posting doesn't list pay. Use the typical finance figure when pay comes up. See finance jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where product management was part of your work. What did you do?
  3. Tell me about a project where open finance was part of your work. What did you do?
  4. Tell me about a project where api was part of your work. What did you do?
  5. Tell me about a project where market research was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Product Management, Open Finance, API, and Market Research. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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