Data Manager

Booking.com; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Free Headspace access

Pension plan

Annual paid time off

Parental leave

Life insurance

Disability insurance

On-site meals

Working from Home furniture support

Genius/discounts

Learning & development programs

Global employee assistance program

Job summary

Booking.com seeks a Data Governance Lead to shape and operate governance across the finance data estate. You will build data quality frameworks, ensure SOx-aligned controls, and partner with FP&A, data engineering, and analytics teams to deliver trusted data for finance decisions.

You will implement DQ checks, metadata management, and lineage, while embedding governance into platform modernization efforts and ensuring compliant, responsible use of AI across data platforms.

Qualifications

• 3–5 years in data management, governance, quality or related role.
• Experience applying compliance requirements (GDPR, ethical data handling, responsible AI).
• Hands-on with data cataloguing, lineage, and DQ platforms (Collibra, Monte Carlo or equivalent).
• Ability to design data quality dimensions, thresholds, SLOs and metadata management.
• Strong data storytelling to bridge business, data engineering and regulatory needs.

Responsibilities

• Governance, Risk, and Controls: implement data and AI governance standards and audits.
• Data Quality Frameworks & Monitoring: define DQ dimensions, rules, thresholds, and dashboards.
• Metadata, Classification & Stewardship: maintain data dictionaries, glossaries, and lineage catalogs.
• Delivery & Stakeholder Management: lead end-to-end governance initiatives and communicate business impact.
• Hands-on Analysis & Community: profile data with SQL/Python and coach teams on governance topics.

Skills

Strong SQL

Python

Data profiling

Exploratory data analysis

Data visualization (Tableau, MicroSTR)

GDPR compliance

Responsible AI

Finance data / SOx exposure

Data cataloguing & lineage

DQ rules & thresholds

Master data management

Collibra / Monte Carlo

Snowflake security & data masking

dbt / Airflow / Git / CI/CD

Agile delivery

AI governance tooling

Tools

Collibra

Monte Carlo

Tableau

MicroStrategy

Snowflake

dbt

Airflow

Dagster

Job description

• 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 PythonProficient 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 initiatives3–5 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 managementStrong critical thinking, root-cause analysis capabilities, and excellent communication skills across technical and business disciplinesExperience working with finance data or within SOx / regulated reporting environmentsExperience with cloud data platforms (e.g., Snowflake) including access control, security, and data maskingFamiliarity 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