MastercardSenior Specialist, Product Insights
Mastercard is hiring a Senior Specialist, Product Insights in Lisbon, Portugal. Level rates it ; you can apply on Mastercard.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Tools and skills the posting cites include product management, data analysis and commercialization.
- Level classifies it as a senior role.
- Level lists 948 other open roles at Mastercard.
AI in this role
Support product management and commercialization of digital payment capabilities for ecosystem channel partners.
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
Senior Specialist, Product CommercializationOverviewThe payments ecosystem is rapidly evolving, driven by the growth of Payment Facilitators (PFs), Payment Service Providers (PSPs), Independent Software Vendors (ISVs), Gateways, and other digital commerce enablers. These partners are reshaping how merchants accept payments and play a critical role in expanding acceptance and driving transaction growth.
The Channel Partnerships team develops innovative, data-driven products and AI-enabled capabilities that help ecosystem partners optimize performance, unlock growth opportunities, and deliver measurable business outcomes. This team sits at the intersection of product management, analytics, and commercialization to drive value for partners and Mastercard.
Role
The Channel Partnerships team is seeking a Senior Specialist, Product Management to support the development, commercialization, and growth of innovative products and capabilities across Mastercard's ecosystem partner landscape. This role sits at the intersection of Product, Analytics, Data Science, Technology, Commercialization, and Customer Success teams, helping translate data into actionable insights that inform product decisions, business growth, and ecosystem expansion.
The successful candidate will support the product lifecycle by conducting analysis, tracking KPI frameworks and product performance metrics, identifying market opportunities, and helping shape recommendations that enhance Mastercard's value proposition. The role will work closely with product managers and stakeholders to support initiatives across Payment Facilitators (PayFacs), Independent Software Vendors (ISVs), Acquirers, and other ecosystem partners, while contributing to product commercialization, go-to-market activities, partner adoption strategies, and regional ecosystem growth initiatives.
Primary Responsibilities
• Support the development, commercialization, and growth of products and capabilities for PayFacs, ISVs, Acquirers, and other ecosystem partners.
• Analyze market, customer, and performance data to identify opportunities, trends, and actionable recommendations.
• Track KPIs, performance metrics, business targets, and ecosystem growth indicators to measure product adoption, partner value, and overall business impact.
• Support product managers in evaluating opportunities, defining requirements, and advancing strategic initiatives.
• Partner with Product, Technology, Analytics, and Data Science teams to deliver data-driven and AI-enabled capabilities.
• Contribute to go-to-market activities, commercialization efforts, and partner adoption strategies.
• Prepare insights, dashboards, and presentations to support decision-making and regional ecosystem growth.
All About You
• Experience in Product Management, Product Strategy, Analytics, Data Products, Financial Services, Payments, FinTech, Consulting, or related disciplines.
• Strong ability to translate complex data into actionable business insights and strategic recommendations.
• Excellent communication, presentation, and stakeholder management skills.
• Ability to navigate ambiguity and manage multiple initiatives in a fast-paced environment.
• Proficiency in SQL, Power BI, Tableau, Excel, or similar analytics and visualization tools.
Desired Capabilities
• Familiarity with AI tools, machine learning, data science, or intelligent product capabilities.
• Ability to influence and collaborate effectively across cross-functional and geographically dispersed teams.
• Knowledge of the payments ecosystem, including PFs, PSPs, ISVs, Gateways, Acquirers, Merchants, and Digital Commerce solutions.
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.
How we rate this
Senior Specialist, Product Insights 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.
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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where commercialization was part of your work. What did you do?
- Tell me about a project where kpi tracking was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Product Management, Data Analysis, Commercialization, and Kpi Tracking. 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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