
Global payments and technology company
Senior Specialist, Global Product Management - Commercialization/Pricing Strategies at Mastercard
About the role
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, Global Product Management
- Commercialization/Pricing Strategies
Overview:
The Services team fuels growth for partners globally by providing cutting edge capabilities across Customer Acquisition and Engagement, Security Solutions, Business & Market Insights, and Open Banking. Within Services, the Operational Intelligence (OI) pillar plays a critical role in helping customers understand, manage, and optimize the end to end payment lifecycle through data driven insights, reporting, and analytics at scale.
We are seeking an experienced Senior Specialist within the Operational Intelligence Global Product Management team to support commercialization and pricing strategy. This role plays a critical analytical and execution support function, bridging customer specific initiatives with broader business expansion priorities. The Senior Specialist will drive data driven insights to inform pricing, go to market effectiveness, and revenue growth initiatives across the OI portfolio.
Role Responsibilities:
In this role, you will:
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Support commercialization and go to market strategy for Operational Intelligence products, with a focus on pricing effectiveness and revenue optimization.
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Conduct quantitative analysis to support pricing strategy development, including price modeling, revenue analysis, KPI tracking, and performance reporting.
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Synthesize customer data, usage trends, and commercial inputs to identify opportunities to expand and scale the OI business.
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Support product enablement efforts, helping drive increased penetration, retention, and customer value realization.
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Partner cross functionally with Product, Sales, Finance, and Marketing teams to align analysis with commercial and product objectives.
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Lead or contribute to critical analytical initiatives, including customer segmentation, market analysis, pricing assessments, and business case development.
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Support sales and marketing initiatives through data backed insights that inform campaign strategy and prioritization.
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Effectively communicate analytical findings and their business implications to a broad set of stakeholders.
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Act as an advocate and subject matter contributor for OI products from a commercial and analytics perspective.
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Technical & Analytical Expertise
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Advanced proficiency in data analysis and financial modeling, with strong Excel skills required.
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Experience using business intelligence and visualization tools (e.g., Tableau); familiarity with large scale datasets preferred (Python, Hadoop, or related).
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Hands on experience performing pricing, revenue, and KPI analysis in support of commercial decisions.
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Ability to work with complex, multi source datasets and translate outputs into actionable insights.
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Experience with analytics tools and environments used in enterprise or payments contexts is a plus.
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Product & Commercial Collaboration
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Partner closely with Product teams to ensure commercial strategies align with value delivered and customer needs.
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Collaborate with Sales and Marketing to support customer facing initiatives and go to market execution.
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Work with Finance stakeholders to support revenue analysis, forecasting inputs, and financial performance tracking.
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Build strong working relationships across a diverse group of internal stakeholders to advance shared business goals.
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All About You
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Bachelor’s degree in business, analytics, finance, or equivalent practical experience.
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Demonstrated experience applying statistical analysis and predictive modeling to support and optimize commercial activities within a product based business.
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Strong background in analytics solutions for payments or related financial services strongly preferred.
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Advanced proficiency in Excel and experience with Python, Hadoop, Tableau, and other analytics tools, including analysis of large and complex datasets.
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Strategic mindset with the ability to solve complex, ambiguous problems using structured, data driven approaches.
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Highly organized, with the ability to manage multiple competing priorities and effectively decode customer and stakeholder requirements.
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Proven experience developing and driving end to end execution of initiatives, particularly in cross functional environments.
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Strong communication, collaboration, and influencing skills, with the ability to clearly articulate problem statements, insights, and opportunity areas to diverse stakeholders.
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:
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Abide by Mastercard’s security policies and practices;
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Ensure the confidentiality and integrity of the information being accessed;
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Report any suspected information security violation or breach, and
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Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Required skills
Product management
Commercialization
Pricing strategy
Analytics
Revenue growth
Go-to-market strategy
Stakeholder collaboration
Business analysis
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About Mastercard

Mastercard
PublicA financial network that processes payments between banks and cardholders
10,001+
Employees
Purchase
Headquarters
$360B
Valuation
Reviews
10 reviews
3.8
10 reviews
Work-life balance
2.8
Compensation
4.1
Culture
4.2
Career
3.4
Management
3.1
72%
Recommend to a friend
Pros
Great team culture and supportive colleagues
Excellent benefits and compensation
Training and development opportunities
Cons
Work-life balance challenges and long hours
High pressure and stress during peak times
Management issues and lack of direction
Salary Ranges
51 data points
L6
L7
L8
Director
L4
L5
L6 ·
0 reports
$201,675
total per year
Base
-
Stock
-
Bonus
-
$171,424
$231,926
Interview experience
3 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Offer rate
33%
Experience
Positive 33%
Neutral 34%
Negative 33%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Super Day/Final Round
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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