Research Manager Quantitative Market Research & Knowledge Management

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

Research Manager Quantitative Market Research & Knowledge Management

Overview
The Advisors Research Center (ARC) is a global team of researchers within Mastercard that delivers high quality, end to end research in support of Mastercard s Advisors and Consulting Services. ARC partners closely with consulting teams and internal stakeholders to design, execute, and deliver rigorous research that informs strategic decision making for clients across industries and markets.
As part of ARC s continued growth, Global Facilities India (GFI) supports global and regional ARC engagements by providing scalable, high quality quantitative research delivery.
This role sits within the ARC Quant Research capability in GFI and plays a key role in managing quantitative research execution across fieldwork, scripting, data quality, and analysis for global research projects.
Role:
As a Research Manager Quantitative Research & Knowledge Management you will manage quantitative research workstreams across the full project lifecycle while also ensuring that survey data, outputs, and supporting documentation are stored, structured, and reusable across ARC.
Candidates for this position should have strong end to end quantitative research and is a can understand how research data should be organized, documented, and maintained so it can be accessed and reused responsibly over time.
This is not an IT or systems role; it is grounded in primary market research processes and content.
Key responsibilities include:

Quantitative Research Delivery
Manage and execute quantitative research workstreams across global and regional studies
Coordinate and execute quantitative survey design, fieldwork execution, data processing, data analysis and insight generation
Creating compelling visual narratives, charts, and infographics to explain complex data trends clearly
Translate complex datasets into clear narratives that guide actionable insights and build client reports as per research requirements
Develop client facing reports in-line with Mastercard standards and in collaboration with the respective regional teams

Data Storage, Documentation & Research Asset Management
Own the storage and organisation of survey datasets, trackers, and research outputs in line with ARC standards
Apply and maintain clear data structures, naming conventions, and version control across studies
Ensure that the data is discoverable (via use of AI agents) and reusable across new projects.
Ensure datasets are clean, validated, and analysis ready prior to final storage
Apply consistent standards to reduce errors, duplication, or loss of institutional knowledge
Ways of Working & Collaboration
Partner with ARC researchers and GFI teams across regions to ensure smooth research delivery
Identify opportunities to improve efficiency, clarity, and reuse of research assets
Contribute to templates and guidelines related to quantitative research documentation

Qualifications & Experience

Core Research Experience
Demonstrated experience in quantitative primary market research, with prior hands-on research experience within a product, technology, or digital-first organization required
Strong expertise across the end-to-end quantitative research lifecycle, including research design, questionnaire development, fieldwork management, statistical analysis, insight generation, and reporting
Hands-on proficiency in advanced quantitative research methodologies, including MaxDiff, Conjoint Analysis, Segmentation, and Regression Analysis, with the ability to apply these approaches to solve complex business and customer questions

Data Storage & Repository Experience (Required)
Demonstrated prior experience managing quantitative research data repositories, trackers, or shared datasets
Proven ownership of data organization, documentation, version control, and reuse standards across multiple studies or programmed
Technical & Tooling Skills
Experience using quantitative tools such as SPSS, Q, DisplayR, R, or similar
Strong proficiency in Excel, PowerPoint, and Word for analysis and reporting
Confident handling multi market and longitudinal datasets

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.