Data Manager II

Job Title
:
Data Manager II

Team Location
:
Amsterdam, the Netherlands

At , data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make.

Through our products, partners and people, we make it easier for everyone to experience the world.

At , data drives our decisions, technology is at our core, and innovation is everywhere. Finance sits at the centre of that scale. FP&A Tech, part of Finance, builds and operates the data platforms, pipelines, and data products that Financial Planning & Analysis depends on—from month-end close and regulatory reporting through to planning, forecasting, and self-service analytics. Trusted numbers are not a nice-to-have here: governance, control, and data quality are the conditions under which Finance is allowed to operate.

• Establish, oversee, and drive adherence to data management practices, controls, and governance standards across the finance data estate.
• Design, implement, and operate data quality frameworks, observability checks, and root-cause remediation to ensure finance data is trusted and fit for purpose.
• Act as the vital bridge between business requirements, data engineering platforms, and regulatory compliance.
• Safeguard SOx-relevant data assets, ensure ethical data handling and responsible AI adoption, and embed governance and quality controls into platform modernization programs.
• FP&A Tech builds and operates the data platforms and data products that Financial Planning & Analysis depends on, where trusted numbers, governance, risk management, and data quality are fundamental conditions for how Finance functions.
• You will work extensively with FP&A Analysts, Data Engineers, Product Managers, Data Scientists, Accounting, Tax, Audit, Financial Systems, and Group Reporting teams.

• Implement Data & AI Governance standards and playbooks aligned with enterprise frameworks and regulatory/audit requirements.
• Support the governance of SOx-relevant data assets: control design and documentation, change management, segregation of duties, access control, and audit evidence preparation.
• Manage data risks and define lifecycle requirements (retention, archival) for key finance assets.

• Design and operate Data Quality (DQ) dimensions, thresholds/SLOs, rules, and scoring for priority finance assets and metrics.
• Embed DQ checks and observability into batch and streaming pipelines, shifting quality checks left into development.
• Build DQ dashboards and lead root-cause analysis on data