3 days ago

Specialist, Product Management

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Support product operations and enhancement workstreams with a focus on data-driven decision making and data governance. Drive data quality standards, validation frameworks, and monitoring to ensure reliable customer insights. Use SQL and Python to analyze data, validate outputs, troubleshoot issues, and automate reporting. Leverage AI agents to improve feedback management and usage analytics, coordinate cross-functional discussions, and manage JIRA workflows to triage and close data-related requests.

Location: Gurugram

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Support product operations and enhancements, including go-to-market planning, user onboarding, and platform maintenance.
•Drive data governance activities by defining data quality standards, validation frameworks, and monitoring mechanisms.
•Analyze product performance, data quality KPIs, and usage trends; recommend data-backed solutions for gaps or improvements.
•Automate reporting and recurring operational workflows using SQL/Python and AI-based intelligent workflows, including feedback ingestion and actioning.
•Manage JIRA tickets for product support requests, data-related issues, and bug resolution, coordinating across product, engineering, data, sales, and regional teams.

Key Requirements

•2–5 years of related work experience, preferably in Financial Services, Payments, or Data Analytics domains.
•Experience in product management, product development, and data governance (including data quality frameworks and validation processes).
•Strong SQL skills, including joins, aggregations, and data validation queries.
•Working knowledge of Python for data manipulation, automation, and analysis (e.g., pandas, numpy).
•Experience using Agile product management tools such as Confluence and Jira, plus working with UX design and engineering.

Experience:2-5 yearsFinancial ServicesPaymentsData Analytics

Education:Bachelor's in business, data science, information technology

Skills:CommunicationAnalytical problem-solvingOrganizational planningInterpersonal skillsThought leadership

Tech Stack:SQLPythonPandasNumpyJiraConfluenceMS OfficeGitHub CopilotMS CopilotAI agentsJIRA

Company Brief

Mastercard

Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Mastercard

3 days ago

Specialist, Product Management

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Gurugram

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Support product operations and enhancements, including go-to-market planning, user onboarding, and platform maintenance.
•Drive data governance activities by defining data quality standards, validation frameworks, and monitoring mechanisms.
•Analyze product performance, data quality KPIs, and usage trends; recommend data-backed solutions for gaps or improvements.
•Automate reporting and recurring operational workflows using SQL/Python and AI-based intelligent workflows, including feedback ingestion and actioning.
•Manage JIRA tickets for product support requests, data-related issues, and bug resolution, coordinating across product, engineering, data, sales, and regional teams.

Key Requirements

•2–5 years of related work experience, preferably in Financial Services, Payments, or Data Analytics domains.
•Experience in product management, product development, and data governance (including data quality frameworks and validation processes).
•Strong SQL skills, including joins, aggregations, and data validation queries.
•Working knowledge of Python for data manipulation, automation, and analysis (e.g., pandas, numpy).
•Experience using Agile product management tools such as Confluence and Jira, plus working with UX design and engineering.

Experience:2-5 yearsFinancial ServicesPaymentsData Analytics

Education:Bachelor's in business, data science, information technology

Skills:CommunicationAnalytical problem-solvingOrganizational planningInterpersonal skillsThought leadership

Tech Stack:SQLPythonPandasNumpyJiraConfluenceMS OfficeGitHub CopilotMS CopilotAI agentsJIRA

Company Brief

Mastercard

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor