MastercardManager, Product Management - Client Data Onboarding, BE&O
Mastercard is hiring a Manager, Product Management - Client Data Onboarding, BE&O in Dublin, Ireland. Level rates it ; you can apply on Level.
AI in this role
Own and manage an AI-led client data onboarding product, replacing manual ETL with agentic workflows and human-in-the-loop systems.
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&OManager, Product Management – Client Data Onboarding, BE&OAs 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 escalate 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.
How we rate this
Manager, Product Management - Client Data Onboarding, BE&O at Mastercard rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where agentic workflows was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, AI Safety, Product Management, Agentic Workflows, and Data Pipelines. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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