Description
Mastercard is seeking a Senior Specialist, Product Management - Commercial Strategy, Pricing & Go-To-Market to join their team.
The Senior Specialist will drive data-driven insights to inform pricing, go-to-market effectiveness, and revenue growth initiatives across the Operational Intelligence (OI) portfolio,with a strong emphasis on advanced analytics and practical AI-driven decision support as a key differentiator.
Responsibilities
- 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.
Requirements
- 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.