Senior Research Manager-Data Processing and Quality Control Lead- Primary Market Research (L6)

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
Senior Research Manager-Data Processing and Quality Control Lead- Primary Market Research (L6)
Job Description: Senior Research Manager - Data Processing and Quality Control
Location: Gurgaon, India
Team: Advisors Research Center (ARC) - Global Facilities India (GFI)
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.
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 survey design and programming, fieldwork, data quality checks, and data processing.
Role:
As a Senior Research Manager - Data Processing and Quality Control, you will provide technical oversight and quality governance across survey programming, fieldwork, data processing, and QC for global quantitative studies.
The ideal candidate brings strong hands-on experience in data processing earlier in their career and now provides technical oversight, sets quality standards, and ensures consistent, high-quality delivery at scale across teams
Key responsibilities include:
Data Processing & Quality Governance
- Own data processing standards, QC frameworks, and sign off criteria across ARC quantitative research.
- Ensure datasets are statistically sound, analysis ready, and consistent across markets and studies.
- Review and sense check key outputs for data integrity, structure, and validity prior to delivery.
Technical Oversight
- Provide guidance on weighting, significance testing, segmentation readiness, and statistical checks.
- Partner with survey programming teams to ensure questionnaire logic and data capture support clean downstream processing.
- Troubleshoot and resolve complex data quality issues in collaboration with internal teams and vendors.
Capability & Process Enablement
- Coach and mentor DP team members on QC discipline, technical rigor, and best practices.
- Drive standardization through reusable templates, documentation, and quality checklists.
- Identify opportunities to improve efficiency, consistency, and scalability across DP workflows.
Stakeholder & Vendor Management
- Partner with ARC researchers and project leads to translate research needs into robust DP and QC expectations.
- Oversee third party vendor outputs to ensure adherence to ARC standards, timelines, and quality benchmarks.
- Communicate risks, tradeoffs, and quality implications clearly to stakeholders.
Qualifications & Skills:
- Strong experience in data processing, data quality, or technical survey data roles within market research (agency or in house).
- Demonstrated progression from hands-on DP execution to senior technical oversight and quality governance.
- Proven ability to lead DP delivery, enforce QC governance, and resolve technical loopholes quickly and accurately.
- Strong experience managing multiple concurrent studies and working with global stakeholders in a deadline driven environment.
- Strong experience with SPSS, R, Q (or equivalent DP/statistical tools) and advanced Excel.
- Familiarity with survey programming platforms (e.g., Decipher/Forsta, Confirmit, Qualtrics) for quality enablement.
- Experience with research analytics and visualization tools (e.g., DisplayR or similar) preferred.
- Exposure to advanced methods (MaxDiff, Conjoint) is a plus.
All About You
- Motivated by intellectually challenging work and continuous learning
- Comfortable partnering with researchers to shape interpretation and insights
- Curious, methodical, and rigorous in your analytical approach
- Collaborative and effective in cross-functional, global team environments
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.