📋 Job Details at a Glance 📍 Location Pune, India 🏢 Company Mastercard 👥 Experience 5+ years 🎓 Qualification 5+ years. Hands-on with Python, SQL. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL Data Analytics Agentic AI Product Management Enterprise Risk Solutions Senior Specialist - Global Product Management - Data Analytics and Agentic AI at Mastercard — Full Details & How to Apply Mastercard is seeking a Senior Specialist - Global Product Management - Data Analytics and Agentic AI in Pune, India . This role involves defining and building products that deliver measurable value to customers using technologies like Python and SQL , with direct responsibility for enterprise and credit risk solutions. This Senior Specialist - Global Product Management - Data Analytics and Agentic AI role is critical for developing scalable Enterprise & Credit Risk solutions that leverage Mastercard 's assets to enhance revenue for retail and commercial clients. The position requires hands-on work with data analytics and agentic AI to address real-world customer challenges in risk management, ensuring products are both technically sound and commercially viable. The job posting confirms that Mastercard is recruiting for a Senior Specialist in Global Product Management with a focus on data analytics and agentic AI . The role is based in Pune, India, and operates within Mastercard ’s global product management framework. Candidates will work on enterprise risk solutions that support Mastercard ’s digital payment ecosystem across multiple markets. 2023, 2024, 2025, 2026 graduates are eligible. Applicants must have 5+ years. Hands-on with Python, SQL. Relevant technical / engineering background and 5+ years experience . The salary for this position is Not Disclosed . Applicants will gain hands-on experience with Python , SQL , Data Analytics , Agentic AI , and Product Management . This role strengthens expertise in enterprise risk solutions and provides a pathway to leadership in product development within a global technology firm. It offers a clear progression into senior product roles within Mastercard ’s global operations. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The Senior Specialist - Global Product Management - Data Analytics and Agentic AI at Mastercard designs and delivers data-driven products that reduce enterprise risk and improve credit risk outcomes using Python and SQL analysis. This role directly impacts customer transaction safety and real-time fraud detection systems through measurable product performance metrics. Define product scope using Data Analytics to evaluate credit risk patterns in transaction data, ensuring alignment with enterprise risk KPIs. Build data pipelines with Python to process high-volume transaction logs and generate real-time risk scores for credit risk assessment. Query enterprise databases using SQL to extract historical credit risk data and validate product performance against baseline metrics. Translate customer pain points into product requirements using Product Management frameworks and Data Analytics insights from user behavior data. Monitor product performance via agentic AI -driven dashboards that track fraud detection accuracy and risk exposure over time. Develop and maintain Python scripts for automated anomaly detection in credit risk workflows, ensuring code quality and enterprise-grade reliability. Document product specifications and technical processes using SQL schema diagrams and Python code comments for team alignment and audit trails. Diagnose customer-reported issues using Agentic AI logs and SQL query results to identify root causes and improve user experience in risk workflows. This role requires direct ownership of product outcomes, with measurable impact on credit risk reduction , enterprise risk mitigation , and real-time transaction safety metrics. Required Skills & Technical Competencies Candidates must demonstrate a strong technical foundation in Data Analytics , Agentic AI , and Product Management , with hands-on experience using Python and SQL to solve real-world enterprise risk and credit risk problems. Technical Skills Python — advanced — used to build and maintain data pipelines, automate risk scoring, and implement agentic AI logic in credit risk workflows. SQL — advanced — used to query large-scale transaction databases, extract credit risk metrics, and validate product performance against historical benchmarks. Data Analytics — intermediate to advanced — applied to interpret customer transaction data and generate actionable insights for enterprise risk decisions. Agentic AI — intermediate — used to design autonomous decision systems that detect anomalies in real-time transaction streams and reduce credit risk exposure. Product Management — intermediate — applied to define product roadmaps, translate stakeholder needs into technical requirements, and manage enterprise risk product lifecycle. When preparing your resume or interview, emphasize specific Python scripts, SQL queries, and agentic AI use cases that directly address credit risk or enterprise risk problems in real-world data environments. Eligibility Criteria This role is designed for candidates with a technical or engineering background , at least 5 years of hands-on experience, and a proven ability to use Python and SQL in product or data environments. Must hold a degree in Computer Science, Engineering, or a related technical field with a minimum CGPA of 3.0 or equivalent. Eligible batches are 2023, 2024, 2025, and 2026 only. Minimum of 5 years of professional experience in data analysis, product development, or engineering roles. Must have direct experience using Python and SQL to solve credit risk or enterprise risk problems in a live system. Portfolio must include at least two projects demonstrating Data Analytics and Agentic AI applications in risk or product contexts. Must have a documented history of building and maintaining Python or SQL code for data-driven product features. Documentation & Portfolio Requirements Your resume must include a clear section on Python and SQL projects, with specific metrics (e.g., "reduced fraud detection latency by 40%") and references to agentic AI or credit risk use cases. For this role, prioritize showcasing a Python script that processes transaction data and detects anomalies, paired with a SQL query that retrieves credit risk metrics — both must be clearly documented and tied to measurable outcomes. Salary for Senior Specialist - Global Product Management - Data Analytics and Agentic AI at Mastercard 💰 Compensation Not Disclosed The advertised compensation for the Senior Specialist - Global Product Management - Data Analytics and Agentic AI role at Mastercard is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Senior Specialist - Global Product Management - Data Analytics and Agentic AI Upskilling with the right resources significantly enhances your selection odds for this specific role, ensuring you meet the required competencies. Recommended Courses & Resources Python — Mastering Python is essential for data analytics and AI applications in product management . SQL — Proficiency in SQL is crucial for managing and analyzing data effectively. Data Analytics — This course provides foundational skills in data analysis, vital for decision-making in product management . KodNest — Enhances your coding skills, which are important for implementing data-driven solutions. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating proficiency in Python or SQL — Include specific projects or experiences that showcase these skills. ❌ Using a generic resume instead of tailoring it — Customize your resume to reflect the specific responsibilities outlined in the job description. ❌ Listing technologies without context — Ensure you explain where and how you used Python and SQL . ❌ Ignoring the experience requirement — Make sure your application reflects at least 5 years of relevant experience. ❌ Adding unrelated technologies or unsupported claims — Focus on relevant skills to avoid diluting your application. ❌ Failing to verify the official Apply URL — Always check the supplied Apply URL and job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Senior Specialist - Global Product Management - Data Analytics and Agentic AI Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Python SQL Data Analytics Agentic AI Product Management Enterprise Risk Solutions Global Product Management Advanced Analytics Credit Risk Business Insights Technical Background Collaboration Resume Tips for This Role Highlight your experience with Python and SQL prominently on your resume. Emphasize any projects or roles where you utilized Data Analytics or Agentic AI . Showcase a project that involved product management or enterprise risk solutions . Use exact keywords from the job description to ensure ATS alignment without keyword stuffing. Avoid adding unsupported claims or technologies that you cannot substantiate. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated work experiences or unsupported claims in your resume for this role. How to Apply for Senior Specialist - Global Product Management - Data Analytics and Agentic AI at Mastercard Apply Now — Mastercard Open the official Apply URL and confirm the job title and company matches the position you're applying for. Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience outlined in the job description. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official company portal or your registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — Mastercard NexisGrow.com does not charge any fees for job applications. Mastercard Mastercard is a technology company based in Pune, India that operates in an onsite work mode. It serves global economies through digital payment solutions, focusing on innovation and accessibility. The role sits within the Advanced Analytics group, driving enterprise and credit risk solutions. The team develops scalable solutions for enterprise and credit risk across the credit lifecycle. They collaborate with engineers and business teams to address customer challenges using data-driven insights. The work leverages technologies such as Python , SQL , Data Analytics , and Agentic AI . This role contributes to Mastercard ’s mission of empowering people and businesses through secure, smart, and accessible digital payments. It supports the delivery of enterprise risk solutions that serve retail and commercial clients globally. This role offers early-career exposure to Product Management , Enterprise Risk Solutions , and advanced analytics. Candidates gain hands-on experience with Python , SQL , and Agentic AI in real-world product development. Company Details Industry Technology Location Pune, India Connect With Us Careers Apply Now Website 🔗 mastercard.wd1.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and at least 5 years of experience from the 2023 to 2026 batches can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, SQL, Data Analytics, and Agentic AI are the most important skills for this role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review Python and SQL fundamentals. 2. Prepare examples of Data Analytics projects. 3. Understand Agentic AI applications. 4. Familiarize yourself with product management principles. 5. Research Mastercard's role in digital payments. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Pune, India. ? What career exposure can this role provide? Growth Tap to expand + Answer This role offers exposure to product management, data analytics, and enterprise risk solutions, enhancing skills in a global technology context. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, SQL, Data Analytics, and experience in product management or enterprise risk solutions. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with engineers and business stakeholders to develop solutions. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the role requires at least 5 years of experience. 🔗 Explore More on NexisGrow More jobs in Pune Browse all Tech jobs Latest Fresher jobs More jobs at Mastercard Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com