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

Mastercard; Gurugram District; Presencial; INR 1 500 000 - 2 100 000; Tempo integral

Resumo da oferta

Mastercard seeks a seasoned Product Manager for its AI-led client data onboarding product in Gurgaon. You will shape data pipelines, data quality, and onboarding UX, partnering with Engineering and Data Science to define workflows and acceptance criteria.

You’ll translate user needs into a strategic roadmap and deliver an MVP before scaling across industries and clients. Collaborate with UX, Data Delivery, and security teams to ensure responsible AI, privacy, and PCI/PII compliance.

Qualificações

• Experience working on data and analytics products involving large client datasets.
• Experience building with AI, LLMs and agents with human-in-the-loop workflows.
• Familiarity with data privacy, security and governance in regulated environments.

Responsabilidades

• Product Manager for Mastercard's AI-led client data onboarding product, focusing on data pipelines and onboarding UX.
• Define requirements, acceptance criteria, and roadmap; work with Engineering and Data Science leads.
• Ensure production readiness with governance, security, PCI/PII handling and risk management.

Conhecimentos

Data pipelines

AI & LLMs

Product Management

Cross-functional collaboration

UX collaboration

Data quality

Stakeholder management

Regulated environment

Communication

Ferramentas

Databricks

Descrição da oferta de emprego

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

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

Position Responsibilities

Product Manager for Mastercard's 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 elevate 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

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.