Data for Risk Delivery Lead

Worldline; Warszawa; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Private medical & life insurance

Public transportation allowance

Annual bonus

Job summary

Worldline is seeking a delivery leader to own the Data for Risk (D4R) portfolio end-to-end, shaping how data flows, connects, and delivers value across Risk Technology. You’ll lead complex, cross-functional programs, create structure where none exists, and drive completion and adoption beyond PoCs.

You’ll partner with Risk Technology, Data teams, and business stakeholders to set priorities, track milestones, and ensure data is trusted and actionable for decision making.

Qualifications

• Led complex, cross-functional programmes where data was central to success.
• Comfortable taking ownership in environments with imperfect structure.
• Strong understanding of data in practice, including integration, pipelines, quality, and reporting.
• Familiar with regulatory or risk-driven data environments.

Responsibilities

• Lead the D4R delivery agenda across data for risk, including integration, ingestion, quality and reporting.
• Drive progress across multiple concurrent data initiatives and platforms.
• Align Risk Technology, Data teams and business stakeholders with clear priorities and milestones.
• Define what good looks like for data quality, lineage, controls and reporting outputs.
• Translate technical topics into clear business impact and risk language for updates to senior stakeholders.

Skills

Delivery leadership

Cross-functional

Data for Risk

Tools

Data integration tools

Job description

Worldline is seeking a delivery leader to own the Data for Risk (D4R) portfolio end-to-end, shaping how data flows, connects, and delivers value across Risk Technology. You’ll lead complex, cross-functional programs, create structure where none exists, and drive completion and adoption beyond PoCs.

You’ll partner with Risk Technology, Data teams, and business stakeholders to set priorities, track milestones, and ensure data is trusted and actionable for decision making.