Senior Specialist, Product Management - Commercial Strategy, Pricing & Go-To-Market
Mastercard · Posted Oct 23
Global technology company connecting consumers, financial institutions, merchants, and businesses through secure payment processing and digital commerce solutions
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About the role
The Services team drives growth by delivering capabilities across Customer Engagement, Security, Insights, and Open Banking, and the Operational Intelligence (OI) pillar enables customers to optimize payment lifecycle performance through data-driven insights. The Senior Specialist drives 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. The role involves pricing and revenue analytics, commercial collaboration with Sales, Product, and Finance, and building higher-order analytical models and decision frameworks.
What you will do
- 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
- 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
Skills used in this role
What the employer is looking for
- 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
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Mastercard
Mastercard is a global technology company in the payments industry that connects consumers, financial institutions, merchants, governments, and businesses worldwide. It operates a fast and secure payment processing network that spans more than 200 countries and territories. Through innovative products and solutions in credit, debit, digital assets, and security, Mastercard makes commerce safer, simpler, and more accessible.
- Industry
- Payments
- Company size
- 10001+ employees
- Founded
- 1966
- Location
- Purchase, New York, USA
- Funding stage
- Public Company
Funding
Public Company · $115M raised
Leadership
Chief Executive Officer
Chief Business Officer
President & Chief Technology Officer
Chief People Officer
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