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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Manager II - **Company:** Booking Holdings, Inc. - **Location:** Manchester, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Data Dictionary, Data Governance, Python (Programming Language), Meta-Data Management, Power BI, Standard Sql, SQL Databases, Data Streaming, Tableau (Software), Data Processing, Scripting, Collibra, Data Management - **Published:** August 30, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815425700-data-manager-ii ## About the Role * 3-5 years in data management, data governance, data quality, or related roles (e.g. data analyst/engineer with strong DQ/governance focus). * Strong SQL experience writing & managing complex logic with 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 with working knowledge of data catalog, lineage, and DQ - using tools like Collibra, Monte Carlo (or equivalent). * Hands-on experience implementing DQ rules, dimensions, thresholds/SLOs, and monitoring/reporting. * Experience with master & metadata management, document/content lifecycle and classification, and 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. ## Description As a Data Manager II, you are an individual contributor responsible for establishing, overseeing, and ensuring adherence to policies, practices, and controls for data management across the company data estate, with a specific focus on data governance and data quality. You ensure regulatory compliance, ethical data handling and the responsible adoption of AI models and tooling within data initiatives, while designing and operating data quality frameworks that make our data accurate, trusted, and fit for purpose. You drive and support change management for data initiatives, managing projects and stakeholders to successful outcomes and act as a subject-matter expert for data governance and quality across your scope. This is a hands-on role where you will work closely with Product Managers, Data Engineers, Data Scientists, and Insights Analysts to convey the why, how, and what of Data Management initiatives, applying robust classification, metadata management, and stewardship practices to ensure data quality, regulatory compliance, and shared understanding of key data assets. You will report to a Senior Data Manager and collaborate with other Data Managers on strategic objectives for data quality, governance, metadata management and regulatory compliance at Booking.com., * Implement Data & AI Governance standards, and playbooks within your scope, aligned with enterprise frameworks and regulatory/audit requirements. * Manage data risks & controls along key data flows to meet regulatory, compliance, risk, privacy and security by design expectations. * Design and operate Data Quality dimensions, thresholds/SLOs, rules and scoring for priority assets and metrics. * Monitor and report on data quality, using lineage and metadata for diagnosis, root cause analysis, and pragmatic remediation. * Embed DQ checks and observability into batch and streaming pipelines, shifting quality left in design and development. * Apply classification, taxonomies, and metadata management to improve discoverability, protection, and consistent usage of data. * Define and maintain data lifecycle requirements (creation to deletion) for key assets and keep core documentation (data dictionaries, glossaries, lineage, rule catalogues) accurate and accessible. * Manage stakeholders across producer and consumer teams, and clearly communicate the business impact of poor data quality and the value of remediation. * Use SQL and scripting (e.g. Python, R) to profile data, implement/validate DQ checks, and support investigations and prototypes. * Build and maintain DQ / governance dashboards in tools like Tableau or Power BI to provide clear, actionable views of quality and maturity. * Use APIs and data management tooling (catalogue, lineage, DQ platforms) to register metadata, automate controls, and integrate governance into workflows. * Coach and support data managers, stewards, and analysts on governance and DQ topics, and contribute to the wider Data Management community with patterns, documentation, and best practices. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [JavaScript? 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