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Mastercard
Mastercard

Global payments and technology company

Senior Analyst, AI & Data Strategy-2 at Mastercard

RoleData Engineering
LevelSenior
LocationGurgaon, India
WorkOn-site
TypeFull-time
Posted1 day ago
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About the role

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 Analyst, AI & Data Strategy-2

Sr. Analyst, Master Data Management
Location: Gurgaon, India
Reports to: Vice President, Master Data Management

About the Position:

The Sr. Analyst of Master Data Management (MDM) is responsible for execution of Mastercard’s MDM strategy across the enterprise. This role is instrumental in shaping and implementing the strategic vision for MDM initiatives, ensuring alignment with broader enterprise data governance goals.
In close partnership with business and technology stakeholders, the Sr. Analyst will operationalize MDM and governance practices to uphold the consistency, accuracy, and integrity of mastered data assets. This role demands strong cross-functional collaboration with stakeholders across Franchise, Product, Corporate, Mastercard Technology, and global business units to drive and sustain the data management strategy.
As a subject matter expert in master and reference data management, this individual will represent the Office of the Chief Data Officer (CDO) in executing MDM best practices to promote enterprise-wide data excellence.

  • Key Responsibilities

  • Design & Implementation: Design and implement Master Data Management (MDM) solutions aligned with strategic business objectives and guided by leadership direction. Key responsibilities include gathering requirements, architecting solutions, configuring platforms such as Reltio, and maintaining ongoing operations. This role also oversees system upgrades, migrations, and new deployments, ensuring timely execution of MDM initiatives while fostering continuous improvement in data management practices.

  • Cross-Functional Collaboration: Serve as a liaison between IT, business stakeholders, and data governance teams to ensure seamless integration and adoption of MDM solutions across enterprise systems (e.g., Merchant data platform, Oracle Financials, Coupa, Salesforce, Mastercard Billing System).

  • Data Quality & Governance: Partner with the data quality team to streamline data profiling, cleansing, enrichment, and lifecycle management. Monitor and report on data quality KPIs. Partner with governance teams to establish and enforce standards, frameworks, and best practices across master data domains (e.g., merchant, customer, consumer, product, supplier, legal entity).

  • Automation & Integration: Drive automation of data ingestion and mastered data consumption processes. Ensure integration of MDM solutions with enterprise applications, Mastercard product and related data pipelines.

  • Compliance & Risk Management: Ensure adherence to data privacy, quality, and regulatory requirements while building global solutions.

  • Qualifications & Experience

  • Experience: Demonstrated experience in Master Data Management (MDM) roles within large enterprise environments, with a minimum of 3 years of relevant MDM experience and at least 1 full-cycle MDM implementations. Proven hands-on expertise in large-scale MDM platforms such as Reltio or Informatica, along with familiarity with data warehousing, analytics and ERP systems.

  • Technical & Analytical Skills: Experienced data professional with strong problem-solving skills and expertise in enterprise data products and architecture. Proficient in Hadoop, Databricks, RDBMS, SQL, Alteryx, and Excel. Skilled in data integration, metadata management, and taxonomy modeling. Adept at designing scalable data platforms, including data lakes, warehouses, lakehouses, and real-time pipelines. Proven ability to lead data strategy and unify fragmented ecosystems in complex organizations.

  • Industry Knowledge: Familiarity with master data domains relevant to the financial services and technology industries—such as merchant, customer, consumer, product, and financial master data—is preferred.

  • Leadership: Implement MDM and governance frameworks, collaborate with cross-functional teams to drive change.

  • Communication & Collaboration: Exceptional interpersonal, written, and verbal communication skills. Demonstrated success in stakeholder engagement and cross-functional collaboration.

  • Mindset: Self-starter with a balance of strategic thinking and hands-on execution. Ability to deliver results under tight deadlines.

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.

Required skills

Master data management

Data governance

Data quality

Reference data

Stakeholder management

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About Mastercard

Mastercard

A financial network that processes payments between banks and cardholders

10,001+

Employees

Purchase

Headquarters

$360B

Valuation

Reviews

10 reviews

3.8

10 reviews

Work-life balance

2.8

Compensation

4.1

Culture

4.2

Career

3.4

Management

3.1

72%

Recommend to a friend

Pros

Great team culture and supportive colleagues

Excellent benefits and compensation

Training and development opportunities

Cons

Work-life balance challenges and long hours

High pressure and stress during peak times

Management issues and lack of direction

Salary Ranges

51 data points

Junior/L3

Director

Junior/L3 · Data Engineer

5 reports

$137,800

total per year

Base

$106,000

Stock

-

Bonus

-

$107,900

$166,918

Interview experience

3 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer rate

33%

Experience

Positive 33%

Neutral 34%

Negative 33%

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Super Day/Final Round

6

Offer

Common questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience