Manager Product Management - Client Data Onboarding BEandO

Mastercard; Gurugram District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Mastercard is seeking an AI-enabled Product Manager for Client Data Onboarding in Gurugram, India. The role focuses on building an AI-driven onboarding experience, replacing manual ETL with agentic workflows, and scaling onboarding across industries and pillars.

You will partner with Engineering, UX, Data Delivery, ACS and the R&C FI pillars to align priorities, drive governance, and deliver an MVP followed by broader rollout.

Qualifications

• Experience building AI-driven products and agentic workflows.
• Experience with data pipelines, ETL processes and data quality checks.
• Hands-on understanding of data platforms (e.g., Databricks) and data contracts.
• Proven track record shaping product priorities from customer/market feedback.
• Experience delivering internal platforms or workflow tools with UX collaboration.
• Strong strategic thinking, roadmapping and measurable outcomes.
• Familiarity with data privacy, security and responsible AI governance.

Responsibilities

• Own AI-led client data onboarding product strategy and roadmap.
• Define agentic workflows, functional and non-functional requirements for data loading and QA.
• Design human-in-the-loop UX for review and approval of agent outputs.
• Develop product strategy from user research, data complexity and commercial priorities.
• Translate insights into an actionable roadmap and MVP, then scale across industries and clients.
• Manage dependencies and delivery risk with data ingestion pipelines and PCI/PII considerations.
• Drive governance and launch readiness, ensuring compliant AI and security practices.
• Collaborate cross-functionally with Engineering, UX, Data Delivery, ACS, and pillars to align priorities.

Skills

AI in product

Data pipelines

ETL expertise

Data quality

Cross-functional

Stakeholder mgmt

Regulatory awareness

5+ years exp

Job description

Job Description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, 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

Manager, Product Management - Client Data Onboarding, BE&OManager, Product Management – Client Data Onboarding, BE&O

As a member of the Client Data Onboarding Product Management team, you will own and manage our AI-led client data onboarding product. We are rapidly replacing manual ETL with agentic workflows, evolving how we onboard clients in the age of AI, and scaling onboarding across industries and pillars. We are looking for AI-native PMs who can execute and evolve our product strategy and help us build the AI-enhanced version of client data onboarding.

This role reports to the Director of Global Product Management within BE&Os Client Data Onboarding team.

Position Responsibilities

Product Manager for Mastercards AI-led client data onboarding product, with specific focus on data pipelines, data quality and the onboarding user experience.

Partner with Engineering and Data Science leads to define the agentic workflows for data onboarding. Define functional and non-functional requirements for agents, automated data loading, data quality checks and the web app.

Keep users in control. Design the human-in-the-loop experience with UX, so that Data Engineers and ACS users can review, edit and approve each agent output, and answer Client Data Requests (CDRs) quickly and with confidence.

Develop product strategy derived from user research, client data complexity, onboarding pain points and commercial priorities.

Translate a deep understanding of our users and clients into an actionable roadmap. Deliver the early adopter MVP, then scale across R&C industries and FI clients.

Own end-to-end feature development. Identify and prioritize problems, define use cases, write requirements and acceptance criteria, support development and end-to-end testing, and measure impact through onboarding time, approval effort, data quality and reduction in manual Data Delivery support.

Manage dependencies and delivery risk. Align with the owners of client connectivity, the data ingestion pipeline, Databricks set-up, historical data migration from APT and Data Engineer capacity. Plan interim delivery options where necessary and escape gaps early.

Drive governance and launch readiness. Make sure that responsible AI, security, privacy, data, architecture and BizOps requirements are completed for production, and that PCI/PII data is handled correctly.

Work as a part of a cross-functional product team to bring ideas to life. Work together with Engineering, UX, Data Delivery, ACS, the R&C and FI pillars, and C&D to align priorities, client roll-out plans and ownership boundaries.

Guide and mentor junior team members through work reviews and sharing of product management practices to foster continuous improvement.

All About You

• Experience working on data and analytics products involving large client datasets, data pipelines, ETL and complex business logic
• Experience building with AI, LLMs and agents to enhance approaches and/or gain efficiencies, including human-in-the-loop workflows
• Working knowledge of data modelling, data contracts, semantic layers, data quality and modern data platforms such as Databricks; hands-on data engineering is beneficial but not essential
• Prior Product Management experience – in product or similar roles, with a proven track record of shaping product priorities based on customer and market feedback
• Experience delivering internal platforms or workflow tools, working closely with UX to design for expert users
• Broad strategic thinking skills, adept in translating product vision/strategy into an actionable, phased roadmap with measurable outcomes
• Creative problem-solver, can balance competing needs across delivery dates, scope, dependencies and risk, and prioritize thoughtfully
• Familiarity with data privacy, security and responsible AI governance, ideally in a regulated or financial-services environment
• Strong professional presence and influencing skills. Excellent interpersonal, written, and oral communication skills, with the ability to align engineering, delivery and business stakeholders
• 5+ years of professional experience in a similar role, or equivalent

Corporate Security Responsibility

• 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.