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

Mastercard Inc.; Dublin; On-site; EUR 120,000 - 160,000; Full time

Job summary

Mastercard is seeking an experienced Product Manager for AI-led client data onboarding. You will own the product, partner with Engineering and Data Science to define agentic workflows, and ensure high-quality onboarding for clients across industries.

You will collaborate with UX and data delivery teams to translate user needs into a phased roadmap, deliver an MVP, then scale, while ensuring governance, security, and responsible AI are integrated into production.

Qualifications

• Experience with data analytics products handling large client datasets and complex logic.
• Experience building with AI/LLMs and agents, including human-in-the-loop workflows.
• Hands-on familiarity with Databricks and modern data platforms.

Responsibilities

• Own the AI-led client data onboarding product, focusing on data pipelines and onboarding UX.
• Define requirements for automated data loading, data quality checks, and the web app.
• Draft a practical roadmap from user research, client data complexity, and commercial priorities.

Skills

Data analytics

ETL pipelines

AI & agents

Product management

Cross-functional collaboration

Security governance

Regulated environments

Stakeholder management

Communication

Project planning

Tools

Databricks

Job description

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 Manager, 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&O's Client Data Onboarding team.

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.

Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.