Data Manager II

Booking Booking · Hospitality · Manchester, United Kingdom · data management

Data Manager II role focused on establishing and overseeing data management policies, practices, and controls, with a specific emphasis on data governance, data quality, and regulatory compliance. The role involves implementing AI governance standards, managing data risks, designing data quality frameworks, monitoring data quality, applying classification and metadata management, and defining data lifecycle requirements. It requires strong SQL and scripting skills, experience with data management tools, and stakeholder management. The role also involves coaching and supporting other data professionals.

What you'd actually do

  1. Implement Data & AI Governance standards, and playbooks within your scope, aligned with enterprise frameworks and regulatory/audit requirements.
  2. Manage data risks & controls along key data flows to meet regulatory, compliance, risk, privacy and security by design expectations.
  3. Design and operate Data Quality dimensions, thresholds/SLOs, rules and scoring for priority assets and metrics.
  4. Monitor and report on data quality, using lineage and metadata for diagnosis, root cause analysis, and pragmatic remediation.
  5. Embed DQ checks and observability into batch and streaming pipelines, shifting quality left in design and development.

Skills

Required

  • 3–5 years in data management, data governance, data quality, or related roles
  • Strong SQL experience writing & managing complex logic
  • at least one scripting language (e.g. Python, R)
  • Proficient profiling data or performing exploratory data analysis
  • data visualisation tools (e.g. Tableau, Power BI)
  • Experience working on Data Governance, lifecycle management processes
  • working knowledge of data catalog, lineage, and DQ
  • using tools like Collibra, Monte Carlo (or equivalent)
  • Handson experience implementing DQ rules, dimensions, thresholds/SLOs, and monitoring/reporting
  • Experience with master & metadata management
  • document/content lifecycle and classification
  • data risk mitigation
  • Ability to use lineage and metadata for tracing issues and driving root cause analysis
  • Experience in ethical data handling, responsible AI, and applying compliance requirements (e.g. GDPR and related regulations) to data and DQ initiatives
  • Proven track record leading DQ or governance implementations, including planning, stakeholder management, and progress/risk communications.

Nice to have

  • coaching and support data managers, stewards, and analysts on governance and DQ topics
  • contribute to the wider Data Management community with patterns, documentation, and best practices

What the JD emphasized

  • responsible adoption of AI models and tooling
  • ethical data handling
  • responsible AI
  • regulatory compliance
  • GDPR and related regulations