Senior Data Manager (For temp workers)

The Trips Data Governance team at Booking.com manages data for all aspects of trips, excluding stays, enabling teams to understand and improve business performance and customer experience. They are currently seeking an experienced Data Manager to join their impactful Data Governance team to support the critical SAP Rise migration program.

About the SAP Rise program

The programme is a key business modernisation initiative to migrate the current Booking Transport (BTL) SAP instance to a standardised cloud-based ERP system. The programme will introduce an interim architecture between the current platform and the SAP S/4 RISE ecosystem to test processes, data quality and governance, data contracts, and new capabilities, while supporting the transition to the North Star architecture where data flows directly from a modernised enterprise order platform.

Role Overview

In this role, a Senior Data Manager combines technical knowledge, business insight, and expert communication to provide critical information about data systems. This position focuses on supporting business needs with high-quality data through monitoring, issue detection, impact quantification, end-to-end data corrections, standardization, and architectural optimization. A key aspect of the role is to advocate for a Data Quality mindset across the organization.

You will report to a Senior Manager and collaborate with other Data Managers on strategic objectives for data quality, governance, metadata management and regulatory compliance at Booking.com. This is a hands-on role where you will work closely with Business Analysts, Data Engineers, Data Scientists, and Insights Analysts to build deliverables required for the SAP Rise program.

Roles & Responsibilities

As a Senior Data Manager, your required competencies include:

Independence in:

• AI & Ethics: Ethical data handling, responsible AI, compliance, knowledge & prompt engineering, and AI application in Data Management.

• Change & Project Mgt.: Change management, planning, monitoring & delivery, stakeholder management, and DQ implementation.

• Critical Thinking: Decision making, and DQ - investigate & resolve.

• Data & Info. Management: MDM integrations, MDM policies, document & content lifecycle, document & content classification, data risk identification, data risk decision, data risk mitigation, metadata management, and data lifecycle management.

• Effective Communication: Communication basics, cross-cultural relationships, and tailored messaging & motivational communication.

• Privacy & Security: High-pressure communication, regulatory knowledge, vulnerability & mitigation, and compliance-by-design.

• Software & Analytics: Coding, visualisation, and Data Mgt. Adoption.

• Stewardship: Identification & training.

• Strategy & Policy: Data management strategy, policies, standards & playbooks, and maturity model & assessment.

• Solution Design: Solution requirements.

Expertise

• Critical Thinking: Root cause analysis.

• Data & Info. Management: MDM requirements.

• Software & Analytics: Analysis (both listed entries), Data Mgt. Integration, and DQ Dimensions & Rules.

• Solution Design: Solution monitoring & iteration.

• Stewardship: Advocacy & support.

Awareness

• Coaching & Mentoring: Guidance and tailored approach.

• Strategy & Policy: Domain strategy.

Experience

• Coaching & Mentoring: Feedback, and goals & planning.

• Critical Thinking: Value realisation.