Risk and Compliance Officer

Booking Holdings, Inc.; Amsterdam; On-site; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work

Generous leave

Employee discounts

Job summary

Booking.com is seeking a DMLP 1st Line Risk & Compliance Officer to coordinate risk, audit and compliance for data and ML platforms such as Kafka, Flink, BDX, and MySQL. You will establish ownership, processes, and documentation across the DML risk landscape as the primary risk partner to platform owners.

You will lead risk assessments, maintain controls and R&R clarity, and drive remediation with stakeholders. Strong communication and cloud experience are essential; CSR preferred.

Qualifications

• Must have strong knowledge of SOX and PCI-DSS controls.
• Able to translate technical risk into clear business language.
• Hands-on with data platforms (Kafka, Flink, MySQL) and AI/ML pipelines.
• Coordinate across multiple stakeholders and drive remediation.
• Familiarity with PCI-DSS, NIST, and regulatory expectations.
• CRISC or CISA preferred; AWS cloud exposure beneficial.

Responsibilities

• Act as 1st line risk partner to DML platform owners and data teams.
• Advise on risk exposure and regulatory requirements for data/ML environments.
• Lead discovery reviews and risk assessments across data and AI/ML systems.
• Maintain clear R&R documentation for ITGCs and platform controls.
• Coordinate audit follow-ups and remediation with stakeholders.
• Maintain the DML risk inventory and reporting via JIRA/ServiceNow.
• Advise on right-sized control design for simple, scalable solutions.
• Build relationships with engineering, platform, risk and audit teams.

Skills

Risk & Compliance management

SOX compliance

PCI-DSS

NIST framework

Audit coordination

Cloud security (AWS)

Kafka & Flink

GenAI governance

CRISC

CISA

Tools

AWS

JIRA

ServiceNow

Job description

The DMLP 1st Line Risk & Compliance Officer owns the day-to-day coordination of risk, audit, and compliance activities for Booking.com&s data and machine learning systems including Kafka, Flink, BDX, MySQL, and AI/ML platforms. This role establishes clear ownership, processes, and documentation across the DML risk landscape, acting as the primary risk partner to platform and service owners in this domain.

B.responsible

• Risk & Compliance Partnership: Act as the 1st line risk partner to DML platform owners and data teams (Kafka, Flink, BDX, MySQL, AI/ML systems), advising on risk exposure and tailoring PCI-DSS, NIST, SOX, and any other regulatory compliance requirements to data and ML environments.

• Discovery & Risk Assessments: Lead discovery reviews and risk assessments across data and AI/ML systems, identifying gaps in ownership, controls, and documentation, and driving remediation with the relevant control owners.

• Control Ownership & R&R Clarity: Maintain clear roles and responsibilities (R&R) documentation for DML ITGCs (e.g., BDX DMA), ensuring every control has a named 1st line owner and a defensible rationale grounded in official documentation.

• Audit & Compliance Follow-Up: Coordinate and lead platform compliance controls and audit follow-ups and matters, tracking remediation actions to closure and liaising with 2nd line/audit stakeholders.

• Risk Register & Reporting: Maintain the DML risk inventory, report on risk coverage, issues, and remediation status through tools such as JIRA and ServiceNow.

• Right-Sized Control Design: Provide advice on control design that is sustainable and right-sized simple solutions for simple problems, avoiding overengineering while keeping controls effective.

• Stakeholder Coordination & TRO representation: Establish relationships with senior stakeholders. Build and maintain robust relationships across engineering, platform ownership, and risk/audit teams to keep ownership, processes, and documentation aligned as the DML platform evolves.

• Continuous Improvement: Identify opportunities to automate manual compliance and reporting bottlenecks, and refine risk assessment methodology to keep pace with a fast-moving data/AI environment.

B.skilled

1. Comfortable coordinating across many stakeholders with minimal day-to-day supervision, in a fast-changing, sometimes ambiguous environment.

2. Strong documentation and communication skills and able to translate technical risk into clear, concise, business-friendly language.

3. Platform Risk & Cloud Fluency: Broad job knowledge (typically 5–8 years) in IT risk, audit, or controls, with hands‑on exposure to cloud environments (AWS preferred) and the ability to translate data platform and streaming architecture Kafka, Flink, BDX, MySQL, AI/ML pipelines into concrete risk assessments and control requirements.

4. Control Framework Depth: Practical, applied knowledge of SOX and PCI-DSS, with the judgment to right-size controls so they stay effective and audit‑ready without adding unnecessary friction for engineering teams.

5. Audit Support Experience: Comfortable preparing evidence, coordinating walkthroughs, and drafting remediation memos for internal/external audit and SOX cycles.

6. Structured Problem Solving: Able to work from individual findings toward reusable patterns, flagging when a local issue looks systemic so the wider team can decide on a shared guardrail.

7. Clear Communicator: Can translate technical risk into plain language for engineering, platform, and audit stakeholders, and hold a respectful but firm line in day‑to‑day discussions.

8. Certifications: CRISC (or actively working toward it) is preferred; the domains of Governance, IT Risk Assessment, Risk Response & Reporting, and Information Technology & Security map directly onto this role's daily work. CISA or equivalent is a plus.

Strategic Leadership & Confidence: Demonstrated ability to lead risk strategy with confidence and conviction. You are comfortable challenging senior stakeholders, independently steering complex decisions, and maintaining clarity in ambiguous environments without softening the core message.

Platform Risk & Cloud Expertise: Deep expertise in platform risk and compliance, with hands‑on experience in cloud environments (AWS or cloud expertise preferred). You understand how to translate technical architecture, specifically data platforms, streaming infrastructure, and AI/ML systems into tangible risk assessments.

Control Framework Mastery: Strong practical knowledge of SOx and AWS. You don't just know the frameworks, you know how to "right-size" controls so they are effective, scalable, and audit-ready without creating unnecessary friction for engineering teams.

Systemic Problem Solving: A track record of moving beyond individual ticket‑based risk management to designing scalable operating models. You can identify patterns, define reusable guardrails, and build "one coherent model" for risk that evolves alongside the platform.

Cross‑Functional Influence: Exceptional ability to translate technical risk into business‑friendly language for diverse stakeholders. You build robust partnerships across engineering, platform, and audit teams, acting as a go‑to partner who enables velocity while ensuring compliance.

Familiarity with GenAI/AI governance risk concepts is a plus but not essential.

Success Looks Like:

• Sustainable Control Landscape: Every DML control (including Kafka, Flink, BDX, MySQL, and AI/ML) has a clear, documented, and accountable 1st‑line owner. Controls are perceived as "right-sized" and integrated into the workflow rather than added hurdles.

• Audit & SOX Readiness: Audit follow‑ups, remediation actions, and SOX‑related compliance matters are tracked proactively and driven to closure on time, with no major surprises during review cycles.

• Proactive Risk Stewardship: Risk assessments for new data and AI initiatives are embedded before major architectural decisions are locked in, ensuring the platform scales securely by design.

• Trusted Strategic Partner: Your team is seen by engineering leadership not as a blocker, but as a critical partner in delivery. You are effectively navigating "shared goal" trade‑offs, leaving stakeholders with clarity, respect, and a clear, workable path forward.

Benefits & Perks - Global Impact, Personal Relevance:

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave

• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

Diversity, Equity and Inclusion (DEI) at Booking.com:

Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.

Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It’s a place where you can make your mark and have a real impact in travel and tech.”

We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

Pre-Employment Screening

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.