Data Manager

• 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
• Governance, Risk, and Controls:
• 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
• Data Quality Frameworks & Monitoring:
• 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 incidents to drive permanent remediation
• Metadata, Classification & Stewardship:
• Apply classification, taxonomies, and metadata management to maintain accurate data dictionaries, business glossaries, metric definitions, and lineage catalogues
• Establish stewardship across key finance domains and leverage data management APIs/tooling (catalogues, lineage, DQ platforms)
• Delivery & Stakeholder Management:
• Lead data governance and quality initiatives end-to-end while communicating the business impact of data quality to technical and business stakeholders
• Embed governance and quality requirements into platform modernization and migration programs (e.g., semantic layers, self-service analytics)
• Hands-on Analysis & Community:
• Use SQL and Python to profile data, validate DQ checks, and lead root-cause investigations
• Coach data engineers and analysts on governance/DQ topics and contribute best practices to the wider Data Management community

Benefits

• Health insurance
• Free access to Headspace for you and your loved ones
• Global Employee Assistance Program
• Meditation and Breastfeeding rooms at the office
• Booking Cares - 2 days per year to volunteer and learn
• Life insurance
• Disability insurance
• Pension plan
• Annual paid time off
• Parental leave - 22 weeks
• Grandparent leave - 10 days
• Care leave - 10 days
• Bereavement leave - up to 4 weeks
• Anniversary leave
• Working from Home Furniture and Ergonomic Support
• Working from Abroad - up to 20 days per year
• Discounts & Wallet credits to spend on our products
• Upgrade to Booking.com Genius Level 3
• Friends & Family Booking.com discount vouchers
• Free access to online learning platforms
• Development and mentorship programs to support career growth
• Access to trainings and workshops
• Team development opportunities
• Local discount programs
• Game rooms in offices
• On-site meals, coffee and snacks including vegan options- Strong SQL experience writing and managing complex logic, along with scripting skills in Python
• Proficient in data profiling and exploratory data analysis, with hands-on experience in data visualization tools (e.g., Tableau, Microstrategy)
• Experience applying compliance requirements (e.g., GDPR, ethical data handling, responsible AI) to data management initiatives
• 3–5 years in data management, data governance, data quality, or a related role (e.g., data analyst or data engineer with a strong DQ/governance focus)
• Hands-on experience with data cataloguing, lineage, and DQ platforms (e.g., Collibra, Monte Carlo, or equivalent)
• Demonstrated experience implementing DQ rules, dimensions, thresholds/SLOs, and metadata/master data management
• Strong critical thinking, root-cause analysis capabilities, and excellent communication skills across technical and business disciplines
• Experience working with finance data or within SOx / regulated reporting environments
• Experience with cloud data platforms (e.g., Snowflake) including access control, security, and data masking
• Familiarity with modern data engineering practices (dbt, Airflow/Dagster, Git, CI/CD) and Agile delivery frameworks (Scrum/Kanban)
• Experience utilizing AI agents and technologies to improve productivity in governance processes