Senior Data Scientist

Overview

Drive enterprise-level KPI reporting, business performance tracking, and strategic analytics initiatives across global business units and regions. Own end-to-end analytics solutions spanning requirements gathering, KPI framework design, data engineering, dashboard development, stakeholder alignment, finance automation, and commercialization of reporting solutions.

What you'll do

• Own and manage executive-level KPI reporting across multiple business units, products, and regions.
• Design and implement scalable KPI measurement frameworks, reporting methodologies, and governance processes.
• Develop and maintain analytics solutions, dashboards, and reporting products using Tableau, Power BI, SQL, and Python.
• Drive automation initiatives to improve reporting efficiency, data accuracy, and operational scalability.
• Lead finance automation initiatives that transform manual FP&A reporting packs into governed, scalable, role-based dashboards and financial intelligence layers.
• Partner with global stakeholders to gather requirements, define metrics, resolve reporting issues, and provide actionable insights.
• Monitor data quality, perform validations, and ensure accuracy of business-critical reporting.
• Lead cross-functional projects from conceptualization through implementation, commercialization, and business adoption.
• Translate complex business problems into data-driven and AI-enabled solutions for senior leadership.
• Evaluate, identify, and integrate GenAI and AI capabilities into existing products and business processes.
• Contribute to AI product roadmap planning by identifying opportunities for AI-driven features, automation, insights generation, and user experience enhancements.
• Collaborate with technology teams to define AI solution architecture, integration requirements, data dependencies, and governance standards.
• Mentor and guide team members on technical tools, analytics best practices, AI adoption, and business processes.
• Manage stakeholder expectations, prioritize deliverables, and ensure timely execution of strategic initiatives.
• 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.
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

What you'll need

• 4+ years of experience in Data Analytics, Business Intelligence, Data Science, Product Analytics, Product Management, or related fields.
• Experience designing and managing enterprise-level KPI frameworks and executive reporting solutions, with proven ability to build scalable analytics products and automate reporting processes.
• Experience automating finance or FP&A reporting processes, including revenue, expense, driver, budget, forecast, and P&L reporting, with strong understanding of financial data governance and validation.
• Solid understanding of AI/ML and Generative AI concepts, including LLMs, RAG architectures, prompt engineering, AI agents, and enterprise AI use cases.
• Experience evaluating, planning, and integrating AI capabilities into business products and analytical solutions.
• Understanding of AI solution architecture, data flows, API integrations, model governance, and deployment considerations.
• Ability to translate business requirements into product roadmaps and identify opportunities for AI-driven innovation.
• Strong understanding of data modelling, data validation, performance measurement, and reporting governance.
• Excellent stakeholder management and communication skills, with experience working across global teams and senior leadership.
• Demonstrated ability to lead projects independently and manage multiple priorities simultaneously.
• Strong analytical, problem-solving, strategic thinking, and product planning capabilities.
• Experience working in Agile/Product-oriented environments.

Nice to have

• CSPO, CSM, Product Management, AI, or Cloud certifications.

Details

• Location: Gurgaon, India.