Research Manager – Quantitative Market Research, Data Storage & Enablement (L7)

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, Data Storage & Enablement (L7) 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. The GFI team works closely with ARC researchers and consultants to ensure consistency, speed, and quality across research execution and outputs. 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, Data Storage & Enablement (L7), 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. This is a generalist Research Manager role, with an additional responsibility to act as a data and asset aware practitioner—someone who understands 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 research processes and content. Key responsibilities include: Quantitative Research Delivery • Manage and execute end to end quantitative research workstreams across global and regional studies • Lead survey fieldwork execution, including sample management, quality monitoring, and coordination with panel partners • Own data analysis and interpretation, ensuring outputs are accurate, robust, and decision focused • Translate quantitative findings into clear, actionable insights and implications for clients ________________________________________ 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 research documentation is complete and usable, including: o Study objectives and methodology o Sample and fieldwork details o Weighting approaches, derived variables, and assumptions • Support the management of longitudinal datasets, benchmarks, and recurring trackers to enable trend analysis and reuse ________________________________________ Data Quality & Consistency • Ensure datasets are clean, validated, and analysis ready prior to final storage • Work closely with data processing teams to resolve data quality or versioning issues • 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 • Act as a point of reference for best practices in research data storage and documentation • Identify opportunities to improve efficiency, clarity, and reuse of research assets • Contribute to templ ... (truncated, view full listing at source)