Jobs Companies Mastercard Manager, Data Scientist

About this Manager, Data Scientist role at Mastercard

Mastercard · Onsite · Pune, India

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

Manager, Data Scientist

Overview:
Demonstrates deep expertise in business analysis, Salesforce administration, and advanced analytics, including emerging AI capabilities.
Strong knowledge of enterprise systems, data-driven decision-making, and intelligent automation.
Provides direction and drives strategic initiatives leveraging Salesforce, analytics, and AI solutions in alignment with established policies.
Promotes innovation in data, automation, and customer technologies while ensuring effective resourcing, training, and goal setting.
Recommends policy enhancements and advances data governance and intelligent system adoption.
Collaborates with developers, data engineers, AI specialists, and business stakeholders to define scope and outcomes.
Major Accountabilities
• Lead design, configuration, testing, and deployment of Salesforce, analytics, and AI-enabled solutions.
• Provide business and technical leadership across CRM, automation, and analytics platforms.
• Partner with stakeholders to define requirements and deliverables across the project lifecycle.
• Optimize Salesforce (workflows, integrations, reporting, security) aligned to business strategy.
• Integrate AI capabilities (predictive models, generative AI, automation) into business processes.
• Develop and oversee dashboards, reporting, and analytics to support decision-making.
• Provide technical guidance to enable scalable solution development.
• Analyze requirements and recommend integrated Salesforce, analytics, and AI solutions.
• Ensure delivery through effective planning, execution, testing, validation, and documentation.
• Manage cross-functional relationships.
• Drive data governance, quality, and compliance.
• Support release planning and roadmap development. Level 2 support on user requests.
Education
• BS Degree or equivalent combination of experience and formal education.
Knowledge / Experience
• 5–8 years of experience in Salesforce administration, business analysis, project management, and analytics.
• Hands-on Salesforce experience preferred.
• Experience with analytics tools (e.g., Tableau, Power BI, CRM Analytics) and data modeling.
• Familiarity with AI/ML concepts and business applications.
Skills / Abilities
• Operates under general direction; contributes to policy development in AI and data governance.
• Ability to develop and execute strategies across CRM, analytics, and AI.
• Strong leadership and coaching capabilities.
• Excellent communication skills; translates technical concepts into business value.
• Aligns technology solutions with organizational strategy.
• Customer-focused with a strong emphasis on experience improvement.
• Leads complex, cross-functional initiatives.
• Independently plans and executes complex efforts.

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.




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About Mastercard

Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.

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