Job Title - Senior Data Manager
Location - Manchester, UK
Type - Contract
Job Description:
About the role
The Trips Data Governance team 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. 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 I (Level G), your required competencies include:
Independence in:
knowledge & prompt engineering, and AI application in Data Management.
delivery, stakeholder management, and DQ implementation.
& content lifecycle, document & content classification, data risk identification, data risk
decision, data risk mitigation, metadata management, and data lifecycle management.
relationships, and tailored messaging & motivational communication.
knowledge, vulnerability & mitigation, and compliance-by-design.
playbooks, and maturity model & assessment.
Expertise
and DQ Dimensions & Rules.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.