Data Engineer Ii - Location Intelligence jobs at Booking in Netherlands, Amsterdam

When Values are made explicit, they provide clarity on what “good” looks like. And when they are shared, they build unity in a group. They build culture.

• Think customer first. We obsess about adding value for our customers - guests, partners, colleagues - to make it easier for everyone to experience the world.

• Own it. We deliver on our promises, make informed decisions and prioritize to get the important things done today.

• Learn forever. We are resilient, take time to reflect, and seek to learn – from colleagues, from the outside world and from our failures.

• Succeed together. We celebrate team success, through making connections, building trust and valuing the diverse perspectives of others.

• Do the right thing. We get the right results the right way. For each other, our communities and the world around us.

• Transform existing reporting and dashboard systems, streamlining and optimising them to deliver faster, clearer, and more actionable insights including supporting new experiments.
• Design, develop, and maintain comprehensive real-time dashboards and reports that track key Customer Service KPIs, ensuring data-driven decision-making at all levels.
• Apply advanced analytics techniques, including correlation and causation modeling, to accurately diagnose metric fluctuations and their impact on Customer Service operations.
• Support the CS operations and Service and Process design by unlocking trends, patterns, and root causes in operational data to proactively drive service improvements and efficiency gains.
• Deliver executive-level performance updates with actionable insights, influencing strategic decisions both within Customer Service and across the organisation.

• Design and implement VoC programs to capture feedback through multiple channels (surveys, social media, etc.) to identify pain points, and work with business leaders on opportunities for service enhancements.
• Analyse and present VoC insights to cross-functional teams and senior leadership, guiding improvements in CS operations and across the wider organisation
• Have extensive experience in Customer Insights tooling and technologies so that they can be integrated into the Customer Service environment

• Build the vision, set the strategy, and define the roadmap for data use and data engineering services within CS.
• Act as a strategic partner to senior leaders, providing data-driven insights and recommendations to support CS objectives.
• Work as part of cross-functional initiatives, workshops, and strategy sessions to translate insights into actionable strategies, focusing on customer-centric and operational improvements.

• Develop and execute a data strategy aligned with CS objectives, focusing on data quality, integrity, and security.
• Implement data governance policies within CS, standardizing data collection, storage, and usage while ensuring compliance with privacy and security standards.
• Innovate in leveraging data analytics to drive CS performance, efficiency, and growth, exploring advanced techniques (e.g., machine learning, NLP/NLG).

Machine learning/AI Partnership

• Partner closely with ML/AI and data science teams to define data requirements, validate model outputs, and integrate AI-driven insights into customer service strategies.
• Develop robust frameworks for measuring the performance, efficiency, and business impact of AI-powered solutions and automation within Customer Service.
• Identify and champion new opportunities for applying advanced analytical and machine learning/AI techniques to address customer service challenges and drive innovation.

• Lead and inspire a high-performing team of data analysts and data scientists through a period of significant transformation, redefining how data is leveraged to enhance the customer service experience.
• Shape and execute a visionary strategy for data and analytics in Customer Service, ensuring the team evolves in capabilities, tooling, and impact to drive long-term business outcomes.
• Attract, develop, and retain top-tier talent in data engineering and analytics, creating an environment that fosters innovation, excellence, and career growth within the analytics community.
• Establish best-in-class practices for analytics, modeling, and reporting, ensuring the team operates at the forefront of modern data science and engineering.
• Champion data-driven decision-making, embedding analytics deeper into customer experience strategy and influencing key business stakeholders at all levels.

• Communicate complex data insights in simple, actionable terms for stakeholders, advocating for data-driven decision-making.
• Influence and build relationships at all levels, from the Leadership Team to operational stakeholders within CS.

• Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, Engineering, Economics, or a related field. MBA or other advanced degree is strongly preferred, especially with a major in a quantitative discipline
• Experience:Minimum of 10 years in data analytics, data science, or business intelligence, with substantial experience in senior leadership roles (at least 3-5 years). Background in large-scale customer service environments or similar operational domains is highly desirable.
• Proven ability to deliver data-empowered strategies, complex analytics programs, and impactful business change initiatives in global organizations. Experience in driving both transformational initiatives and business-as-usual (BAU) operational improvements, demonstrating agility to manage priorities in dynamic, high-volume settings.
• Technical Mastery:Deep expertise in advanced analytics, statistical modeling, and machine learning/AI concepts as applied to customer service and business optimizationProficiency with data analytic tools and programming languages (e.g., SQL, Python, R). Skilled in data visualization technologies such as Tableau and Power BI.Experience designing, implementing, or managing VoC (Voice of Customer) programs and integrating customer insight platforms (experience with Qualtrics or equivalent technologies considered a strong plus, but not mandatory).
• Data Strategy & Governance:Demonstrated ability to define, communicate, and execute robust data strategy and governance frameworks, including data quality, integrity, privacy, and compliance.Experience partnering with ML/AI teams to set data requirements, validate model outputs, and integrate AI insights into operational workflows at scale.
• Leadership & Team Development:Track record of inspiring, building, and developing high-performing teams of senior data analysts, scientists, and craft specialists. Proven ability to nurture environments that support innovation, continuous learning, and career growth.Experience in talent and performance management, collaborating with HR and craft leaders to embed career development frameworks, mentorship programmes, and effective review cycles.
• Customer Service Domain Knowledge:Extensive familiarity with customer service strategy, operations, and experience improvement through analytics and data-driven decision-making. Prior work in omni-channel, GenAI adoption, or AI-powered customer query routing is considered highly valuable.
• Stakeholder Management & Collaboration:Strong ability to partner with senior leadership, cross-functional partners, and external vendors. Proven effectiveness in influencing and inspiring teams at all organizational levels through clear, compelling data-driven narratives.Track record of managing 3rd party software/data relationships, negotiating with external partners, and ensuring that platforms/tools align to CS goals.
• Strategic Impact & Innovation:Exceptional analytical, problem-solving, and critical-thinking skills, with a record of leveraging data to deliver measurable business outcomes.
• Strategic mindset, staying ahead of industry trends in data analytics, customer service, and AI innovation, and translating these into competitive advantages for the CS organization.
• Craft Leadership & Community Impact:Demonstrated commitment to raising the analytics craft within and beyond Customer Service, through championing best practices, sharing knowledge, coaching/mentoring, and actively contributing to the evolution of analytics frameworks, methods, and tools.
• Communication & Influence:Strong communication and presentation skills, able to simplify complex technical insights for diverse audiences, deliver executive-level reporting, and foster an analytics-led decision culture.
• Agility & Change Management:Proven ability to adapt quickly, manage priorities in changing environments (both strategic and BAU focus), and drive continuous improvement through data

• Strategic Thinking & Analytical Rigor: Ability to define the roadmap for effective data use and provide impactful business insights for CS.
• Experience with Machine Learning/AI:Strong understanding of machine learning concepts and their application in real-world business problems, particularly in customer service contexts. Familiarity with ML model evaluation metrics (e.g., precision, recall, F1-score, accuracy) and their implications for business outcomes.
• Customer-Centricity & Service Focus: Commitment to enhancing customer service through data and insights.
• Leadership, Team Development & Craft Expertise: Drive a high-performance team culture while guiding the analytics craft within Customer Service.
• Communication & Influence: Ability to translate complex data insights into simple, actionable strategies for CS stakeholders.
• Collaboration & Partnership: Building connections across departments to ensure aligned, data-driven decision-making within CS.

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.

Leadership:

• Think strategically and identify areas where data science can make a significant impact on the supporting department (scope)

• Build a strong team within your area, by coaching and developing Team Leaders and Individual Contributors;

• Be able to prioritize work depending on business needs and keeping stakeholders aligned at all times

• Translate data science insights vision and strategy into execution keeping in mind the needs and specificities of the team and the scope

Commercial Awareness:

• Play an instrumental role in evolving and designing new applications of data science to business problems

• Take ownership and understand goals and objectives of supporting business partners, translating them into DSI requirements/framework

Craft:

• Bring vision and strategy to improve efficiency in the way data science teams work

• Drive implementation and deployment of complex projects within the scope. Work closely with the other managers to ensure teams are always working towards what's most important for the customers and to help the department achieve its goals.

• Work closely with team members to ensure data quality, provide technical and tactical support, remove roadblocks and provide active support

• Have expertise in data visualization and storytelling, be capable of driving actions from stakeholders

• Data management (engineering, flows...) Responsible for technical implementation and maintenance of data processing services and storage systems in line with the Data Governance Framework; Responsible for data management related Data Governance processes as defined in the Data Governance Framework (E.g. monitoring of data quality, management of data lineage, and maintenance of logical data model).

Communication:

• Capable of articulating complex concepts in simple terms to senior stakeholders

• Advocate of data science with their main stakeholder(s)

• Work closely with other internal entities to ensure their teams are always working towards what's most important for customers and to achieve high business impact

• Ensure clear and effective communication to their stakeholders: proactively keeps all stakeholders informed of what's happening, upcoming changes, projects, issues, etc.

Communication Stakeholder

• Team members

• Business Area stakeholders

• Manager Analytics / Manager DSI

• Sr/Principal Data Scientists

• Track/Business Area product or tech

Qualifications & Skills:

• Master degree, PhD or equivalent experience in a quantitative field (e.g., Statistics, Mathematics, Econometrics, Computer Science, Physics, Engineering, Bioinformatics, or similar)

• 6+ years of equivalent experience (with Master Degree) or 3+ years (with PhD)

• 1+ year management or equivalent experience (desired)

• Expert in solving real problems using data mining techniques and with statistical rigor

• Ability to coach and mentor team members on the best tools and techniques to tackle their challenges, or guide them to experts in the area

• Ability to build a strong team within their area, designing and iterating team processes, and maintaining a healthy, collaborative and open culture

• Expert in stakeholder management (senior stakeholders)

• Expert technical skills regarding data analysis, statistics, machine learning and programming. Strong working knowledge of Hadoop, Spark, SQL, Python and/or R.

• Strong experimentation skills including:

  • Experimental designs

  • Casual inference

  • Randomization techniques

• Excellent communication skills

• Expert in translating business problems into data problems

• Expert data visualization skills

• Expert in storytelling with data

• Expert in statistics and experimentation

• Strong knowledge of data management (engineering, data pipelines, workflows)

• Expert knowledge of the possibilities and limitations of different types of data analysis and/or data science modelling

Benefits & Perks:

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , 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

Application Process:

• Application and CV Review

• Recruitment Phone Screen

• Business Interview 1

• Business Interview 2

• FIT Interview

• Hiring Decision

Let’s go places together:

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.

Role Description

The IT Risk & Compliance Officer is responsible for partnering with risk owners throughout the Tech business function and other business units to design and maintain internal controls in line with our risk appetite and to maintain the quality of our processes. The role requires to work closely with stakeholders from multiple departments and to have a strong big picture focus, but be able to zoom in and out of the details to ensure full process understanding. Responsibilities and skills required for the IT Risk Officer role are tightly linked to the Capability Area they work for, in Risk Management (focus on risk identification, analysis and treatment), Risk Governance & Project Management (focus on policy governance), or Third Party Risk Management & Customer Trust (focus on 3rd party risk). The IT Risk & Compliance Officer role requires solid stakeholder management skills, and to be comfortable with challenging risk owners to come up with robust, scalable solutions which mitigate key risks while enabling successful business operations.

Key Job Responsibilities and Duties

R&C officers ensure adherence to regulations, internal policies, and industry best practices. This includes, but is not limited to:

• Risk Management Support risk owners to design controls that mitigate any relevant risks all the way through to implementation and monitoring.

• Provide advice on control design that is both sustainable and right sized (i.e. a simple solution for a simple problem, no overengineering).

• Coordinate new requests from the business functions and units for support with controls.

• Participate in sprint planning sessions from development teams to support risk identification, assessment and treatment during the development lifecycle.

• Assist in the development and leading of regular training/awareness programs to train and educate risk owners on internal controls topics.

• Stay flexible to meet the dynamic business needs, while maintaining robust solutions that strengthen the control environment.

• Risk Governance & Project Management Support the IT policy lifecycle management including the design, implementation and adoption of policies, standards and guidelines in the areas of cybersecurity, privacy and regulatory compliance.

• Build knowledge of internal controls, systems and process landscape to enable clear understanding of impact from IT policies and standards.

• Manage exceptions to IT policies and standards.

• Third Party Risk and Customer Trust Conduct third-party due diligence.

• Perform privacy and information security risk assessments at third parties. Identify opportunities to position data privacy and security not just as a risk management issue, but as a potential source of competitive advantage improving brand-building and corporate reputation.

• For specific documentation and guidelines, please refer to the Booking R&C Resource Center.

MySQL R&C Officer Specific Responsibilities

In addition to general R&C duties, the MySQL R&C Officer has the following specific responsibilities:

• Level 1 Operations and Control Execution

  • Being actively engaged in Level 1 operations.

  • Running and executing controls directly, rather than just reviewing them.

  • Ensuring the effectiveness of controls in real-time operations.

• Audit and Deficiency Management

  • Serving as the primary contact point for all internal and external audits related to MySQL.

  • Managing the response to audit findings and deficiencies.

  • Implementing corrective actions and tracking remediation efforts.

• Change Management

  • Overseeing changes in narratives as requirements and platform changes evolve.

  • Ensuring that documentation is updated to reflect current practices and requirements.

  • Coordinating with various teams to implement and validate changes.

• Compliance Ticket Management

  • Monitoring all compliance-related tickets for the MySQL teams.

  • Collecting evidence, and closing tickets that have been resolved.

  • Providing regular reminders to individuals with open tickets to ensure timely resolution.

• Backlog Management and Continuous Improvement

  • Maintaining a backlog of potential improvements for controls and processes.

  • Identifying and proposing solutions to avoid future deficiencies.

  • Working with the team to prioritize and implement backlog items to enhance overall compliance.

Role Qualifications and Requirements

• Bachelor degree

• Broad Job Knowledge (3 - 5 years) work experience in business analysis, auditing, corporate governance, risk management or internal controls.

• Ability to develop solid relationships with business partners in order to drive the adoption of the risk management culture.

• Thorough technical understanding of internal control requirements and design and experience in applying them in various businesses.

• Able to split large tasks into logical, manageable and decoupled actions which are managed effectively and delivered on time.

• Be flexible and agile in response to the change in business, change in stakeholder expectations and/or change in regulatory/operating environment of B.com.

• Strong independent contributor, while still a strong team player.

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , 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

• Living and working in Amsterdam, one of the most cosmopolitan cities in Europe

• Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide

• Working in a fast-paced and performance driven culture

• Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit

• Promote and drive impactful and innovative engineering solutions

• Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation

• Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com

Application Process:

This section should provide:

• Let’s go places together:

• This role does not come with relocation assistance.

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.

In this role, you will be responsible for high-impact projects aimed at measuring marketing effectiveness and optimizing the performance of our marketing spend. Projects may include (but not limited to) using econometric models to measure the ROI of online and offline Brand activities, design and analysis of non-randomized experiments, and measuring the incrementality of marketing spend, various marketing campaigns, and product / service offerings. The output of your work will be used to help inform the marketing strategy for the future of Booking.com. You will also work proactively with many stakeholders across different teams to set up measurement frameworks for various marketing activities to determine the success.

1. Responsible for owning the design and delivery of entire Data Science solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently.

2. Responsible for working autonomously on consuming data, preparing it for data science use, translating business problems to data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverages input from business stakeholders in all of the above to determine the right technical solutions to deliver customer value.

3. Responsible for working primarily within the scope of their team to deliver work that informs business decisions for the product / business topic they currently work on, occasionally collaborating across multiple teams.

4. Responsible for designing and interpreting quantitative experiments to objectively guide key business decision making.

5. Responsible for independently identifying and managing stakeholders in operational, project-based, and managerial roles. Effectively communicates, addresses stakeholder needs, and conveys complex analysis results in a clear manner. Begins to guide junior colleagues in stakeholder engagement.

6. Responsible for being flexible in adopting existing internal and external Data Science approaches, proposing and spotting opportunities to apply new approaches and expanding their technical competencies and their peer’s when a more efficient way presents itself.

7. Responsible for leveraging Data Science for impact while learning to incorporate scalability, reproducibility and long term orientation in their work.

8. Responsible for acting as a force multiplier for junior peers in the team by actively helping them with their craft through means of coaching, mentoring and setting a good example.

9. Responsible for contributing to the community of their area by supporting community projects aimed at making other data professional more effective, actively participating in community strengthening activities (ie. recruitment) and connecting with peers beyond their area.

10. ​​Must be knowledgeable about the larger data ecosystem at Booking and how it relates to the work they do.

11. Responsible for collaborating with peers in related crafts (ie. Data Engineering), anticipating data needs to ensure smooth progress of their individual projects.

12. Must be knowledgeable with the operational, tactical and strategic goals of their area (ie. track / vertical) and have high level knowledge of the goals of their wider area (ie. Business Unit).

13. Responsible for ensuring quality of their own work by validating it through peer review.

14. Responsible for influencing business decisions within their specific area (ie. product team).

• Strong knowledge and experience in causal inference with observational data, econometric and ML models, marketing attribution, and incrementality modeling

• Experience in experimentation: A/B testing, geo-testing, power analysis, sample size determination, minimum detectable effect sizes, familiarity with biases in experimentation, meta-analysis etc.

• Strong working knowledge of descriptive and inferential statistics.

• Experience solving real problems using data mining techniques and with statistical rigor

• Excellent communication skills

• Strong skills in translating business problems into data problems

• Strong stakeholder management

• Strong coding and data visualization skills

• Strong skills in storytelling with data

• Strong knowledge of data management (engineering, data pipelines, workflows)

• Strong knowledge of the possibilities and limitations of different types of data analysis and/or data science modeling

[Sample “Benefits and Perks” language - this may be used as a starting point, but must be edited each time to ensure alignment to local benefits]:

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , 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

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.

Key Job Responsibilities and Duties:

• Work in a multi-disciplinary team where you’ll take full ownership of turning discoveries and ideas into products through Machine Learning (incl. understanding product requirements, data discovery, model development and evaluation, to implementation of a full production pipeline for both batch and stream-based deployments).

• Use the ML model’s output to deliver both short-term commercial impact and longer-term differentiated business value and customer experience.

• Define and build proof-of-concepts to test new ideas and demonstrate their potential value to relevant stakeholders.

• Develop production-grade ML code for models, features, and pipelines, accounting for scalability, latency, realtime requirements, monitoring and retraining.

• Build readable and reusable code, using the right technologies and coding methodologies applying knowledge of business area tools and product needs.

• Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies, and upskilling on these as needed.

• Actively contribute to Machine Learning at Booking.com through training, exploration of new technologies, interviewing, onboarding, and mentoring colleagues.

Qualifications & Skills:

• At least 4 years of relevant work experience. Experience in ranking, recommender systems, personalization, e-commerce, etc. is a plus.

• Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.).

• We prefer candidates with Deep Learning experience, especially when applied to large-scale datasets or sequential modelling. Experience with TensorFlow or PyTorch is a plus.

• Solid understanding of fundamental machine learning concepts, such as gradient boosting, neural networks, feature engineering, model evaluation, etc.

• Fluency in at least one programming language, with a strong preference for Python.

• Strong working knowledge of Spark and SQL.

• Experience with putting Machine Learning models in production is a plus.

• Excellent English communication skills, both written and verbal; the ability to convey your message to team members and other stakeholders.

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

• Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave

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

• A beautiful sustainable , that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office*

• Commuting allowance and bike reimbursement scheme

• Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers

• Free access to online learning platforms, development and mentorship programs

• Global Employee Assistance Program, free Headspace membership

Application Process

• Let’s go places together:

• The interview process entails an initial screen by one of our Recruiters, and a total of 3 Business interviews (including a take home business case).

• This role does not come with relocation assistance.

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.

The Data & AI Governance department enables extending the governance theme of policies, standards, processes and technology for governing data and AI, to driving excellence in our approach for leveraging secure, trusted, accessible data for data driven decision making through:

• An overarching Data & AI Policy to include associated standards

• Data & AI Governance including meta and master data management

• Data & AI Delivery Governance

• Data & AI Quality including both technical and business quality measures

Role Description: The Data & AI Governance Stewardship Specialist supports the implementation of processes for Data & AI Governance principles such as data stewardship, ownership and literacy, in order to meet evolving business objectives and technology landscapes. This role blends data and change management principles to ensure successful roll out and adoption of Data and AI Governance across the business. The jobholder will work with business and technology team members to manage and support transformation and implementation of the Data & AI Governance strategy for meeting specific business objectives. As a core member of the Data and AI Governance team, you will support solution development in order to ensure data requirements of business objectives are met with compliance, high quality, extensibility, and commercial success. You will need to partner with product, program, and engineering teams to manage and sustain transformation. This role has autonomy over the delivery of their work, including running change impact assessments, designing and executing change plans and coaching and managing stakeholders.

Key Job Responsibilities and Duties:

• Contribute to the design and delivery of change management strategies to support the rollout of data and AI practices that can be operationalised within the company’s workflows and infrastructure to ensure that data solutions meet business requirements.

• Develop and deliver creative, engaging, effective and impactful communication plans on Data & AI Governance topics for large, complex transformation programmes utilising a breadth of channels, which are appropriate to engage and communicate with the audience, in a timely, consistent and relevant way.

• Ensure the Data Ownership and Stewardship communities are engaged and evolving governance needs are managed through education, communication and relevant trainings and playbooks.

• Support the implementation of efficient Data & AI Governance solutions, working with the team to ensure the stewardship user experience is smooth, efficient and impactful to enable real-time actions and rapid business decisions.

• Consider and select appropriate channels for high levels of engagement for different audience groups, recommend revisions, new innovative tools or additions as required while reporting on the Data & AI Governance Program Portfolio items.

• Works to create the overall change narrative working closely with the Data & AI Governance Specialists. Linking the different change portfolios and ensuring joined-up messaging and timing, whilst linking to the strategy and culture of Booking.com to support effective ownership and stewardship of Data & AI Governance solutions end-to-end including regulatory compliance support.

• Champion effective, conscious change communication and drive best practice standards across all communication activities related to Data & AI Governance.

• Deliver a unified Booking.com voice and ensure maximum impact of communication efforts and to adopt the highest standards of communication, through tone of voice and language while socialising the relevant documentation overarching Data & AI Policy standards, Data & AI Governance meta and master data management, Data & AI Delivery Governance, Data & AI Quality including both technical and business quality measures

• Constantly measure and re-calibrate communication activities for impact and engagement to enable the maturity of Data and AI capabilities across Booking.com, unlocking innovation and business value through leveraging data and AI.

Qualifications and Skills:

• Familiarity with the Data, AI and Machine Learning fields

• Basic knowledge and experience working with Data Governance aspects (data cataloging, data classification, data profiling, etc.)

• Solid familiarity with Change Management approaches, tools and change journey during phases of the project lifecycle.

• Strong understanding of Data Ownership and Data Stewardship including the operationalisation of these communities across large complex organisations.

• Ability to lead multiple low /medium complexity change workstreams or portfolio of workstreams.

• Ability to establish and maintain strong relationships (both within a team and with wider stakeholders).

• Ability to work effectively and influence up to Director level.

• Effectively communicate in medium and large groups; Strong influencer in 1:1, multiple stakeholders and audiences.

• Flexible and adaptable; able to work in ambiguous situations and under pressure.

• Organized with a natural inclination for planning strategy and tactics.

• Self-starter with the ability to work independently

• Strategic thinking, able to contribute to long term vision.

• Strong Problem solving and root cause identification skills.

• Solid business acumen and understanding of organizational issues and challenges.

• Experience with large-scale organizational change efforts is an advantage.

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , 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

• Living and working in Amsterdam, one of the most cosmopolitan cities in Europe

• Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide

• Working in a fast-paced and performance driven culture

• Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit

• Promote and drive impactful and innovative engineering solutions

• Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation

• Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com

Application Process:

This section should provide:

• Let’s go places together:

• This role does not come with relocation assistance.

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.

Order to Cash is looking for an experienced Data Scientist II to help design and run data science solutions to measure and optimize our O2C operations efforts across different pillars from collections, payouts and revenue operations.

• Responsible for owning the design and delivery of entire Data Science solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently.
• Responsible for working autonomously on consuming data, preparing it for data science use, translating business problems to data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverages input from business stakeholders in all of the above to determine the right technical solutions to deliver customer value.
• Responsible for working primarily within the scope of their team to deliver work that informs business decisions for the product / business topic they currently work on, occasionally collaborating across multiple teams.
• Responsible for designing and interpreting quantitative experiments to objectively guide key business decision making.
• Responsible for independently identifying and managing stakeholders in operational, project-based, and managerial roles. Effectively communicates, addresses stakeholder needs, and conveys complex analysis results in a clear manner. Begins to guide junior colleagues in stakeholder engagement.
• Responsible for being flexible in adopting existing internal and external Data Science approaches, proposing and spotting opportunities to apply new approaches and expanding their technical competencies and their peer’s when a more efficient way presents itself.
• Responsible for leveraging Data Science for impact while learning to incorporate scalability, reproducibility and long term orientation in their work.
• Responsible for acting as a force multiplier for junior peers in the team by actively helping them with their craft through means of coaching, mentoring and setting a good example.
• Responsible for contributing to the community of their area by supporting community projects aimed at making other data professional more effective, actively participating in community strengthening activities (ie. recruitment) and connecting with peers beyond their area.
• ​​Must be knowledgeable about the larger data ecosystem at Booking and how it relates to the work they do.
• Responsible for collaborating with peers in related crafts (ie. Data Engineering), anticipating data needs to ensure smooth progress of their individual projects.
• Must be knowledgeable with the operational, tactical and strategic goals of their area (ie. track / vertical) and have high level knowledge of the goals of their wider area (ie. Business Unit).
• Responsible for ensuring quality of their own work by validating it through peer review.
• Responsible for influencing business decisions within their specific area (ie. product team).

• Experience solving real problems using data mining techniques and with statistical rigor and translating business problems into data problems

• Knowledge and practical experience of Statistical Methods (e.g. Testing, GLM, Inference), Statistical/Machine Learning (e.g. Dimension Reduction, Clustering, Regularisation, Bagged/Boosted methods), Time Series, etc

• Strong experience of A/B Testing and a range of Experimentation methods

• Strong experience in data engineering concepts: ETL, data warehousing, data modeling, and data quality management

• Solid understanding of DBT, Snowflake, Spark, SQL, Python and/or R

• Solid understanding of data management (schema design, data pipelines, workflows)

• Strong stakeholder management

• Strong data visualization skills

• Strong skills in storytelling with data

• Proven understanding of the possibilities and limitations of different types of data analysis and/or data science modelling

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , 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

Application Process:

• Let’s go places together:

• Detailed instructions on post-application requirements including any required application materials, deadlines, portfolios, coding challenges, or other assessments as defined by BU or department.

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.