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

**Company**: Mastercard
**Location**: Dublin, Ireland
**Experience**: senior
**Job type**: full-time
**Category**: Product Management
**Industry**: Finance

**Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Dublin-Ireland/Specialist--Product-Management---Client-Data-Onboarding--BE-O_R-293041-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_de72d611-8ba

## Description

As a member of the Client Data Onboarding Product Management team, you will help deliver and improve Mastercard's AI-led client data onboarding product.

The company is rapidly replacing manual ETL with agentic workflows, evolving how clients are onboarded in the age of AI, and scaling onboarding across industries and pillars.

**Responsibilities**

- Support assigned features of the AI-led client data onboarding product, focusing on data pipelines, data quality, and the onboarding user experience.

- Work with Engineering and Data Science leads to document requirements for 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.

- Collaborate 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.

- Support end-to-end delivery of assigned features, tracking dependencies and delivery risks.

- Coordinate with owners of client connectivity, data ingestion pipeline, Databricks set-up, historical data migration from APT, and Data Engineer capacity.

- Resolve defined issues and escalate material concerns when required.

- Support governance and launch readiness, collecting evidence for responsible AI, security, privacy, data, architecture, and BizOps reviews.

**Requirements**

- 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.

- 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.

- Clear communication skills, documenting requirements, explaining progress, and raising risks or unclear decisions promptly.

**Benefits**

No benefits mentioned in the job posting.

## Skills

### Required
- AI
- LLMs
- agents
- data pipelines
- ETL
- data modelling
- data contracts
- semantic layers
- data quality
- Databricks
- product management
- agile delivery
- launch readiness
- performance tracking

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Source: [Apply at mastercard.wd1.myworkdayjobs.com](https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Dublin-Ireland/Specialist--Product-Management---Client-Data-Onboarding--BE-O_R-293041-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)