Specialist, Product Management – Client Data Onboarding, BE&O

Mastercard Inc.; Dublin; On-site; EUR 90,000 - 150,000; Full time

Job summary

Mastercard Inc. is seeking an AI-native Specialist, Product Management for Client Data Onboarding. You will help replace manual ETL with agentic workflows, scale onboarding across industries, and work with Engineering and Data Science to define requirements and success metrics.

You will coordinate with UX, Data Delivery, and cross-functional teams to ensure end-to-end delivery, testing, and governance while handling PCI/PII data securely.

Qualifications

• Experience in translating user problems into clear requirements, acceptance criteria and measurable success indicators.
• Strong understanding of product management processes, from discovery to launch readiness and performance tracking.
• Familiarity with AI, LLMs and agent-based workflows; data pipelines and data quality awareness.

Responsibilities

• Support features of AI-led client data onboarding product focusing on data pipelines and onboarding UX.
• Document requirements, acceptance criteria and functional/non-functional specs for agents and automated data loading.
• Maintain portions of the product backlog and assist with prioritization and delivery readiness.

Skills

Product management

Data analytics

AI

Agile delivery

Stakeholder coordination

Data pipelines

Databricks

Data privacy

Education

Bachelor's degree or equivalent

Tools

Databricks

Job description

Title and Summary

Specialist, Product Management - Client Data Onboarding, BE&O Specialist, Product Management - Client Data Onboarding, BE&O. As a member of the Client Data Onboarding Product Management team, you will help deliver and improve 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 an AI-native Specialist, Product Management who applies practical product management knowledge and established team practices to support assigned features, from user problem through requirements, delivery readiness and performance tracking. This role reports to the Product Manager within BEO's Client Data Onboarding team.

Position Responsibilities

• Support assigned features of our AI-led client data onboarding product, with specific focus on data pipelines, data quality and the onboarding user experience, within established product strategies and roadmaps.
• Work with Engineering and Data Science leads to document requirements for the agentic data onboarding workflows.
• Write feature specifications, acceptance criteria and functional and non-functional requirements for agents, automated data loading, data quality checks and the web app.
• Help keep users in control.
• Work with UX to gather feedback from Data Engineers and ACS users, and test how well they can review, edit and approve agent outputs and answer Client Data Requests (CDRs).
• Validate user problems and proposed solutions using user feedback, usage data, client data insights and structured testing.
• Define intended outcomes, success measures and key risks for assigned features.
• Maintain defined portions of the product backlog and support prioritization by gathering evidence on user value, business impact, delivery effort and risk, in line with the roadmap from the early adopter MVP to scale across R&C industries and FI clients.
• Support end-to-end delivery of assigned features.
• Support development and end-to-end testing, track onboarding time, approval effort, data quality and reduction in manual Data Delivery support, and recommend corrective actions or backlog adjustments.
• Track dependencies and delivery risks.
• Coordinate with the owners of client connectivity, the data ingestion pipeline, Databricks set-up, historical data migration from APT and Data Engineer capacity.
• Resolve defined issues and elevate material concerns when required.
• Support governance and launch readiness.
• Collect evidence for responsible AI, security, privacy, data, architecture and BizOps reviews, including the correct handling of PCI/PII data.
• Maintain accurate product documentation, including feature specifications, decision logs, user guidance and release notes.
• Work as a part of a cross-functional product team to bring ideas to life.
• Coordinate with Engineering, UX, Data Delivery, ACS, the R&C and FI pillars, and C&D to support client roll-out plans.

All About You

• Relevant experience in product management or a related discipline, preferably supporting data, analytics, data engineering or platform products
• Practical understanding of product management processes and tools, including user discovery, requirements, backlogs, agile delivery, launch readiness and performance tracking
• Experience translating user or business problems into clear requirements, acceptance criteria and measurable success indicators
• Interest in, or experience of, building with AI, LLMs and agents, including human-in-the-loop workflows
• Awareness of data pipelines, ETL, data modelling, data contracts, semantic layers, data quality and platforms such as Databricks; hands-on data engineering is not required
• Ability to gather and interpret user feedback, usage data and operational measures to support product decisions
• Experience coordinating delivery or readiness activities across technology and business stakeholders, and tracking dependencies through to resolution
• Awareness of data privacy, security and responsible AI considerations, ideally in a regulated or financial-services environment
• A clear communicator who documents requirements, explains progress and raises risks or unclear decisions promptly
• Comfortable managing defined work independently while seeking guidance on complex, ambiguous or high-impact decisions

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.