MastercardSenior Specialist, Product Management - Commercial Strategy, Pricing & Go-To-Market
Mastercard is hiring a Senior Specialist, Product Management - Commercial Strategy, Pricing & Go-To-Market in Gurugram, India. Level rates it ; you can apply on Mastercard.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Excel, Python and pricing strategy.
- Level classifies it as a senior role.
- Level lists 1,100+ other open roles at Mastercard.
- The role was posted in the last few days.
AI in this role
Senior Specialist driving pricing, go-to-market effectiveness, and revenue growth initiatives using data analytics and commercial insights.
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 Management - Commercial Strategy, Pricing & Go-To-MarketSenior Specialist, Product Management - Commercial Strategy, Pricing & Go-To-MarketOverview:
The Services team drives growth by delivering capabilities across Customer Engagement, Security, Insights, and Open Banking. The Operational Intelligence (OI) pillar enables customers to optimize payment lifecycle performance through data-driven insights.
The Senior Specialist will drive data-driven insights to inform pricing, go-to-market effectiveness, and revenue growth initiatives across the OI portfolio—with a strong emphasis on advanced analytics and practical AI-driven decision support as a key differentiator.
Role Responsibilities
In this role, you will:
• Support front door commercialization strategy by conducting deep analysis across pricing, packaging, and entry point performance.
• Perform pricing and revenue analytics, including price modeling, comparative analysis, and scenario assessments.
• Analyze deal level and portfolio level performance, identifying trends in discounting, adoption, and revenue realization.
• Partner with Sales, Product, and Finance teams to support pricing strategy decisions and commercial recommendations.
• Contribute to pricing governance and readiness, including analytical inputs for pricing changes and commercial approvals.
• Support go to market efforts by providing data driven insights on customer segments, buying behaviors, and value drivers.
• Translate complex analytical outputs into clear, structured insights for leadership and stakeholder decisioning.
• Maintain analytical artifacts (dashboards, models, trackers) to enable consistent, scalable commercial decision making.
• Act as a subject matter contributor on front door effectiveness, helping strengthen how OI solutions are positioned and sold.
•Design and build higher-order analytical models that go beyond dashboards — including simulations, optimization models, and decision frameworks to improve commercial outcomes.
•Apply agentic AI concepts to commercial problems
Product & Commercial Collaboration
• Partner closely with Product teams to ensure pricing and packaging align to value delivered.
• Collaborate with Finance to assess commercial performance, forecasts, and margin implications.
• Support Sales teams by providing structured insights to inform deal strategy and customer discussions.
• Interface with GTM stakeholders to ensure front door strategies are grounded in data and market realities.
• Ensure advanced analytics and AI-driven outputs are explainable, adoptable, and embedded into commercial workflows where they drive real impact
Technical & Analytical Expertise
• Advanced proficiency in Excel (financial modeling, scenario analysis required).
• Experience working with large and complex commercial datasets.
• Experience with BI tools (Tableau, Power BI).
• Ability to synthesize quantitative and qualitative inputs into clear recommendations.
•Working knowledge of programmatic analytics or data science tools (e.g., Python, SQL, notebooks, Hadoop or equivalent environments)
•Familiarity with applied AI / machine learning concepts, especially in decision support, recommendation systems, or agent-based approaches.
•Ability to synthesize quantitative, qualitative, and AI-generated insights into clear recommendations and measurable actions
All About You
• Bachelor’s degree (Masters preferred) in business, finance, analytics, or equivalent experience.
• Proven experience in commercial analytics, pricing strategy, or revenue enablement roles.
• Demonstrated experience applying statistical analysis and predictive modelling to support and optimize commercial activities within a product based business
• Strong analytical mindset with exceptional attention to detail.
• Ability to structure and solve ambiguous, multi variable problems.
• Comfortable influencing through data, logic, and clarity.
• Strong communication skills with the ability to adapt insights for technical and executive audiences.
• Experience in payments, financial services, SaaS, or analytics driven businesses preferred.
• Strong grounding in quantitative analysis coupled with strategic business thinking.
• Experience applying statistical analysis, predictive modeling, or advanced analytics to optimize commercial outcomes.
• Demonstrated curiosity and capability to work on higher‑order data science or agentic AI problems, even if not in a pure data scientist role.
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 Management - Commercial Strategy, Pricing & Go-To-Market at Mastercard rates 20 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 pricing strategy was part of your work. What did you do?
- Tell me about a project where commercial strategy was part of your work. What did you do?
- Tell me about a project where go to market was part of your work. What did you do?
- Tell me about a project where financial modeling was part of your work. What did you do?
- Tell me about a project where data analytics was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Pricing Strategy, Commercial Strategy, Go To Market, Financial Modeling, and Data Analytics. 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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