Booking Holdings

About Booking Holdings India COE At Booking Holdings, we're more than just a leader in travel, we're shaping how people connect, explore, and experience the world. Through our diverse portfolio of brands, including Booking.com, KAYAK, Priceline, Agoda, Rentalcars.com, and OpenTable, we help millions create meaningful experiences, whether booking a getaway or reserving the perfect meal. Our success is built on a culture of inclusion, collaboration, and innovation, where diverse voices are valued, and every idea has the potential to make an impact. At Booking Holdings India COE, we combine data, technology, and creativity to build solutions that simplify global travel, enhance financial services, and create seamless customer experiences. Join us to innovate fearlessly, build connected experiences, and help shape the future of global travel and hospitality. Are you ready to be part of a journey that makes the world more accessible for everyone? About the team: 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 to 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 This enables the maturity of Data and AI capabilities across Booking.com, unlocking data and algorithms as assets for delivering innovative growth opportunities and cost saving operational efficiencies. Role Description: We are looking for a Data & AI Governance Configuration Manager to join our Data & AI Governance organisation, managing a team of individual contributors and contractors on and off shore. The Configuration Manager must have demonstrated experience in leading and motivating a team of analysts and specialists (up to 5-7 people) in addition to demonstrated experience in managing large cross-organizational Data & AI Governance initiatives. Ideal candidates should have a technical background in Data & AI Governance Standards & Frameworks, Data Ownership & Stewardship, Risk Management, Regulatory Change, and Business Operations and various Data Governance tools. They must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means not only being able to develop and drive high-level strategic initiatives, but can also roll up their sleeves, dig in and help drive change. This role is a mix of leadership (leading a small team of specialists and analysts) individual contributors, and it demands skills as an evangelist and a partner - at a time where transformation and modernisation of our data ecosystem is a company-wide priority. Key Job Responsibilities and Duties: People Management: Manage a team of Data and AI Governance operations specialists and potentially contractors including ensuring people’s performance and wellbeing is balanced Help set up quarterly and yearly objectives, estimate work, manage team and personal performance reviews Mentor and coach team members Improve team routines and processes for better performance based on the state of the team. Ensure the team follows the best practices to learn and adopt new methodologies Manage hiring and compensation Help the team to communicate externally and internally, resolve conflicts Data and AI Governance: Data Stewardship: Manage the ease of use and access for Data Ownership and Stewardship roles and responsibilities across tools, supporting clear accountability and proper onboarding of data stewards with intuitive user journeys. Data & AI Governance Principles: Apply and enforce Data & AI Governance principles, processes, policies, and standards to ensure consistent and effective governance practices. Regulatory Compliance: Ensure adherence to Data & AI regulatory policies, such as GDPR, DMA, SOx, and the EU AI Act, by staying updated on compliance requirements and integrating them into governance frameworks and implementation practices. Data & AI Governance Practices: Drive the adoption of Data & AI Governance capabilities including Data & AI Literacy, data cataloging, data profiling, metadata management, data classification, data lineage, master data management, and workflows, ensuring robust governance of critical data elements. Work with the broader Data & AI Governance team to ensure the continuous roll out of improvements and evolution of compliance controls to ensure the continual maturity of Data & AI Practice at Booking. Configuration Management: Metadata Management: be responsible for working with Data & AI Governance SMEs, Architecture, Product and Engineering teams to ensure appropriate metadata configuration and management including continuous improvement opportunities. E2E Delivery & Impact: Contribute to high-complexity Data & AI governance agile delivery and high-impact initiatives independently - leading metadata design execution, testing and reporting, and final handover to business-as-usual operations. Stakeholder Management: Act as an authoritative point of contact for metadata management inquiries. You must navigate a complex stakeholder landscape, effectively engaging with cross-functional working groups and presenting strategic updates to leadership up to the VP level. Risk Management: Identify, assess, track and mitigate issues and risks at multiple levels Operational Excellence: Expertly leverage the Atlassian suite (Jira/Confluence) to architect delivery workflows, track configuration changes, and maintain transparent documentation. You will ensure the team’s output is measurable, visible, and aligned with departmental velocity goals. Change Leadership: Champion the department’s change management protocols. You will guide your team through technical transitions and organizational shifts, ensuring that new governance processes are adopted smoothly without disrupting the broader data community. Role Qualifications and Requirements: Experience Requirements: 5-8 years of relevant technical experience, with 3+ years focused around Data Governance (or 5+ years in a broader Data/Analytical role)): SQL Proficiency: Strong ability to query relational databases to validate metadata or troubleshoot integration issues. SDLC for Governance: Applying "Data Governance as Code" principles—using Git for version control of configuration scripts and managing Test, Staging, and Production environments. At least 1-2 years of experience in metadata management and 1-2 years managing data teams, including building and growing the team: Operating Model Configuration: Proficiency in defining and configuring Asset Types, Domains, Communities, and complex relationship mapping. Workflow Engineering: Ability to design and deploy automated governance workflows (e.g., using BPMN 2.0, Java, or Groovy) for approvals, issue management, and asset onboarding. Metamodel Design: Skill in creating logical structures that represent the organization’s data landscape (Business Glossaries, Data Catalogs, and AI Model Registries). AI Model Metadata Tracking: Understanding how to capture AI-specific attributes like model versions, training datasets, "fairness" metrics, and accuracy scores. Data Governance certification (e.g DAMA, DGI, etc.) or equivalent certification is a plus, though not a requirement Self-driven learner, capable of proactively connect with many other teams to understand the intersection of regulation and data & AI governance capabilities Excellent communication (written and spoken) and stakeholder management skills, with the ability to build strong working relationships with both technical and non-technical stakeholders. BookingHoldings India COE 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, colour, 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.

About Booking Holdings India COE At Booking Holdings, we're more than just a leader in travel, we're shaping how people connect, explore, and experience the world. Through our diverse portfolio of brands, including Booking.com, KAYAK, Priceline, Agoda, Rentalcars.com, and OpenTable, we help millions create meaningful experiences, whether booking a getaway or reserving the perfect meal. Our success is built on a culture of inclusion, collaboration, and innovation, where diverse voices are valued, and every idea has the potential to make an impact. At Booking Holdings India COE, we combine data, technology, and creativity to build solutions that simplify global travel, enhance financial services, and create seamless customer experiences. Join us to innovate fearlessly, build connected experiences, and help shape the future of global travel and hospitality. Are you ready to be part of a journey that makes the world more accessible for everyone? About the team: 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 to 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 This enables the maturity of Data and AI capabilities across Booking.com, unlocking data and algorithms as assets for delivering innovative growth opportunities and cost saving operational efficiencies. Role Description: We are looking for a Data & AI Governance Configuration Manager to join our Data & AI Governance organisation, managing a team of individual contributors and contractors on and off shore. The Configuration Manager must have demonstrated experience in leading and motivating a team of analysts and specialists (up to 5-7 people) in addition to demonstrated experience in managing large cross-organizational Data & AI Governance initiatives. Ideal candidates should have a technical background in Data & AI Governance Standards & Frameworks, Data Ownership & Stewardship, Risk Management, Regulatory Change, and Business Operations and various Data Governance tools. They must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means not only being able to develop and drive high-level strategic initiatives, but can also roll up their sleeves, dig in and help drive change. This role is a mix of leadership (leading a small team of specialists and analysts) individual contributors, and it demands skills as an evangelist and a partner - at a time where transformation and modernisation of our data ecosystem is a company-wide priority. Key Job Responsibilities and Duties: People Management: Manage a team of Data and AI Governance operations specialists and potentially contractors including ensuring people’s performance and wellbeing is balanced Help set up quarterly and yearly objectives, estimate work, manage team and personal performance reviews Mentor and coach team members Improve team routines and processes for better performance based on the state of the team. Ensure the team follows the best practices to learn and adopt new methodologies Manage hiring and compensation Help the team to communicate externally and internally, resolve conflicts Data and AI Governance: Data Stewardship: Manage the ease of use and access for Data Ownership and Stewardship roles and responsibilities across tools, supporting clear accountability and proper onboarding of data stewards with intuitive user journeys. Data & AI Governance Principles: Apply and enforce Data & AI Governance principles, processes, policies, and standards to ensure consistent and effective governance practices. Regulatory Compliance: Ensure adherence to Data & AI regulatory policies, such as GDPR, DMA, SOx, and the EU AI Act, by staying updated on compliance requirements and integrating them into governance frameworks and implementation practices. Data & AI Governance Practices: Drive the adoption of Data & AI Governance capabilities including Data & AI Literacy, data cataloging, data profiling, metadata management, data classification, data lineage, master data management, and workflows, ensuring robust governance of critical data elements. Work with the broader Data & AI Governance team to ensure the continuous roll out of improvements and evolution of compliance controls to ensure the continual maturity of Data & AI Practice at Booking. Configuration Management: Metadata Management: be responsible for working with Data & AI Governance SMEs, Architecture, Product and Engineering teams to ensure appropriate metadata configuration and management including continuous improvement opportunities. E2E Delivery & Impact: Contribute to high-complexity Data & AI governance agile delivery and high-impact initiatives independently - leading metadata design execution, testing and reporting, and final handover to business-as-usual operations. Stakeholder Management: Act as an authoritative point of contact for metadata management inquiries. You must navigate a complex stakeholder landscape, effectively engaging with cross-functional working groups and presenting strategic updates to leadership up to the VP level. Risk Management: Identify, assess, track and mitigate issues and risks at multiple levels Operational Excellence: Expertly leverage the Atlassian suite (Jira/Confluence) to architect delivery workflows, track configuration changes, and maintain transparent documentation. You will ensure the team’s output is measurable, visible, and aligned with departmental velocity goals. Change Leadership: Champion the department’s change management protocols. You will guide your team through technical transitions and organizational shifts, ensuring that new governance processes are adopted smoothly without disrupting the broader data community. Role Qualifications and Requirements: Experience Requirements: 5-8 years of relevant technical experience, with 3+ years focused around Data Governance (or 5+ years in a broader Data/Analytical role)): SQL Proficiency: Strong ability to query relational databases to validate metadata or troubleshoot integration issues. SDLC for Governance: Applying "Data Governance as Code" principles—using Git for version control of configuration scripts and managing Test, Staging, and Production environments. At least 1-2 years of experience in metadata management and 1-2 years managing data teams, including building and growing the team: Operating Model Configuration: Proficiency in defining and configuring Asset Types, Domains, Communities, and complex relationship mapping. Workflow Engineering: Ability to design and deploy automated governance workflows (e.g., using BPMN 2.0, Java, or Groovy) for approvals, issue management, and asset onboarding. Metamodel Design: Skill in creating logical structures that represent the organization’s data landscape (Business Glossaries, Data Catalogs, and AI Model Registries). AI Model Metadata Tracking: Understanding how to capture AI-specific attributes like model versions, training datasets, "fairness" metrics, and accuracy scores. Data Governance certification (e.g DAMA, DGI, etc.) or equivalent certification is a plus, though not a requirement Self-driven learner, capable of proactively connect with many other teams to understand the intersection of regulation and data & AI governance capabilities Excellent communication (written and spoken) and stakeholder management skills, with the ability to build strong working relationships with both technical and non-technical stakeholders. BookingHoldings India COE 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, colour, 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.

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.

About us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world About the team: 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 to 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 This enables the maturity of Data and AI capabilities across Booking.com, unlocking data and algorithms as assets for delivering innovative growth opportunities and cost saving operational efficiencies. Role Description: The Data & AI Governance Architect role will report into the Data & AI Governance Solution Architect in the Data & AI Governance department in the CDO office. You will work with the teams in different business units across Booking.com to co-create the architecture solutions for data & AI governance across data & AI initiatives. You will be responsible for implementing best practice, supporting decision making and ensuring solutions are scalable, resilient, secure, compliant and fit for the future and that the Architecture Design Authority is run smoothly and continually improving its efficiency and alignment with industry standards. It will also be your responsibility to work with the Solution Architect to align the program to the broader technical and enterprise data & AI strategies. Ensuring that the solution is well positioned to connect with an ecosystem of platform capabilities that combine to connect the trip for our customers and partners in a secure, trusted and compliant manner. Depth of technical knowledge is an important aspect of this role. However, the ability to partner with and advise non-technical stakeholders is of equal importance. In this role you will partner with product and engineering counterparts and the broader Data Architecture community to understand future direction and utilize this in the creation of architecture solutions. Key Job Responsibilities and Duties: Deep understanding and hands-on experience designing, building, improving, and operating high-performance, high-availability, scalable and secure data storage, governance and consumption solutions that scale and adapt to strategy Ability to build an architecture that can respond quickly to new use cases - develop an understanding of our business and stakeholders to underpin this Contribute to data architecture governance and decision processes Proficiency in modeling canonical data asset for critical data entities, and in protecting and promoting their golden source status - quick to recognise when they need to evolve to stay golden and how they can integrate to mature data and governance capabilities Proven experience employing best in class technology to continually optimise the tech stack and tools strategy for the data & AI governance platform(s) Identification of bottlenecks within system design that impede delivery velocity Data driven nature, expect it in design, lead by example Demonstrable experience of cloud technology (AWS or similar) and designing cloud native systems Approachable & effective communicator, explain design and challenges in a way the audience understands Coaching and mentoring, building our architecture excellence systemically through the team Ability to drive impact at scale across a large data product & engineering organisation Desirable skills: Experience of building out modern data architectures Experience of Data Governance & engineering Continuous Delivery and Agile delivery methodologies Experience with Conceptual and Logical Data Modeling practices Experience of data vault modeling including Hub, Link, and Satellite structures, how to architect it well and how to build an effective consumption layer on top Experience of integrating siloed businesses or verticals with diverse data and standards Knowledge and experience of enterprise architecture practices and capability-based planning Knowledge and experience of Data & AI Governance and management and how to weave into data architecture effectively API design Handle data following strict privacy and compliance requirements Provide support for internal teams Role Qualifications and Requirements: Responsible with the Solution Architect for the integrity and excellence of the CDO Data & AI Governance architecture and its value Partner with Data Architecture community to co-create group wide data architecture practices with localized implementation in BUs Craft and promote data architecture principles for the Data & AI Governance team - take accountability for embedding them in culture and design Continually strive for architectural simplicity. Design and promote canonical assets that serve multiple use cases and drive integration for data and for our business - manage technical debt wisely Collaborate with data modelling community to drive out data modelling standards with the business units Consider and manage cost and security risk in design and maintenance, assume overall responsibility for managing data & AI Governance platform costs within the CDO and Central Tech Collaborate with Compliance and data & AI governance on measuring and managing risks effectively Partner with senior engineers to assess and protect quality of solution design, bringing an enterprise perspective to the table and protecting simplicity of the asset estate Design and lead architecture review forums - formal and informal to nurture design excellence and maintain the integrity of the architecture principles Be flexible, find the balance in working with senior engineers to agree the best solution for urgent tactical needs while keeping the need to return to architecture principles on the roadmap Develop communities of practice to embed and evolve architecture ways of working and improve the quality of architectural decision making Create the culture, processes and principles that embed data quality and Governance by design. Lead and illustrate by example managing standardisation through templated documents and architectural artifacts. Critical Thinking: Identify patterns and underlying issues in complex situations, and to find solutions by applying logical and analytical thinking and guide more junior members of the team in this topic. Constructively evaluate and develop ideas, plans and solutions by reviewing them, objectively taking into account external knowledge, initiating 'SMART' improvements and articulating their rationale and guide more junior members of the team in this topic. 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. 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.

About us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world About the team: 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 to 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 This enables the maturity of Data and AI capabilities across Booking.com, unlocking data and algorithms as assets for delivering innovative growth opportunities and cost saving operational efficiencies. Role Description: The Data & AI Governance Analyst role contributes to balancing regulatory safety with high-velocity innovation. Sitting within the Data & AI Governance Department, you will be part of the team that translates complex regulations (DMA, EU AI Act, etc.) into everyday agile practices. You will assist with moving beyond simple ‘checkbox compliance’, helping product and tech teams navigate the complexities of data governance and ethical AI without slowing down development. You will be challenged to learn & adapt to new tools & technologies as a part of being a champion of change. You will assist with the full lifecycle of governance, from maintaining the Data Catalogue and AI Registry, to conducting quality control reviews thus ensuring our ‘agile’ environment remains a ‘compliant’ environment. You will work cross-functionally with business and tech stakeholders to ensure the regulatory and internal policies are not just written but translated into practical guardrails. Key Job Responsibilities and Duties: Data & AI Governance Compliance Operations Oversee the daily health of the various compliance dashboards. Ensure critical parameters and thresholds are monitored and actioned upon Assist in operationalizing governance frameworks (AI standard, master data management, etc.) that support the ‘High Velocity’ of change, ensuring guardrails keeps pace with changes. Regulatory Compliance & Monitoring Assist with risk & control implications of digital regulations (DMA, EU AI Act, GDPR, etc.) and help translate legal requirements into clear, actionable items for engineering and product teams. Help build the compliance monitoring plan. Actively monitor controls, review key activities, and validate that business units are adhering to defined requirements and policies. Help identify compliance risks or control deficiencies in early stages projects or implementation. Escalate material risks to the Compliance Manager with recommended remediation strategies. Adoption, Culture & Change Management Assist with the adoption of new governance tools and technologies. Create practical processes and raise awareness that make it easier for teams to be compliant than to cut corners. Simplify compliance concepts for non-technical stakeholders across the organization. Ideate and embed automated compliance checkpoints into the agile processes for continual compliance Policy Maintenance & Reporting Assist leadership in maintaining the compliance resource library. Ensure policies are not static documents but are regularly updated to reflect new regulatory standards and industry best practices. Assist with the remediation process ensuring that identified deficiencies are logged, tracked, and monitored until they are fully remediated and closed. Work with other BU and second line risk teams to ensure risks are monitored, remediated and/or reported appropriately to the right stakeholders. Help prepare data artifacts and evidence for internal and external audits, ensuring the ‘burden of proof’ is easily met. Role Qualifications and Requirements: 1+ years of experience around Data Governance and Compliance, or, alternatively, 1+ years of experience in working with Data, coming from Data Analysis, Business Analysis, Analytical background Good verbal, written and interpersonal communication skills, with the ability to apply common sense to carry out instructions and instruct others, write reports, correspondence and procedures, and speak clearly with stakeholders. Understanding of risk management procedures; Ability to think through risk management problems involving multiple facets and variables in non-standardized situations, requiring non-standard solutions. Ability to work independently with a wide variety of stakeholders. 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.

About us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world About the team: 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 to 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 This enables the maturity of Data and AI capabilities across Booking.com, unlocking data and algorithms as assets for delivering innovative growth opportunities and cost saving operational efficiencies. Role Description: The Data & AI Governance Analyst role contributes to balancing regulatory safety with high-velocity innovation. Sitting within the Data & AI Governance Department, you will be part of the team that translates complex regulations (DMA, EU AI Act, etc.) into everyday agile practices. You will assist with moving beyond simple ‘checkbox compliance’, helping product and tech teams navigate the complexities of data governance and ethical AI without slowing down development. You will be challenged to learn & adapt to new tools & technologies as a part of being a champion of change. You will assist with the full lifecycle of governance, from maintaining the Data Catalogue and AI Registry, to conducting quality control reviews thus ensuring our ‘agile’ environment remains a ‘compliant’ environment. You will work cross-functionally with business and tech stakeholders to ensure the regulatory and internal policies are not just written but translated into practical guardrails. Key Job Responsibilities and Duties: Data & AI Governance Compliance Operations Oversee the daily health of the various compliance dashboards. Ensure critical parameters and thresholds are monitored and actioned upon Assist in operationalizing governance frameworks (AI standard, master data management, etc.) that support the ‘High Velocity’ of change, ensuring guardrails keeps pace with changes. Regulatory Compliance & Monitoring Assist with risk & control implications of digital regulations (DMA, EU AI Act, GDPR, etc.) and help translate legal requirements into clear, actionable items for engineering and product teams. Help build the compliance monitoring plan. Actively monitor controls, review key activities, and validate that business units are adhering to defined requirements and policies. Help identify compliance risks or control deficiencies in early stages projects or implementation. Escalate material risks to the Compliance Manager with recommended remediation strategies. Adoption, Culture & Change Management Assist with the adoption of new governance tools and technologies. Create practical processes and raise awareness that make it easier for teams to be compliant than to cut corners. Simplify compliance concepts for non-technical stakeholders across the organization. Ideate and embed automated compliance checkpoints into the agile processes for continual compliance Policy Maintenance & Reporting Assist leadership in maintaining the compliance resource library. Ensure policies are not static documents but are regularly updated to reflect new regulatory standards and industry best practices. Assist with the remediation process ensuring that identified deficiencies are logged, tracked, and monitored until they are fully remediated and closed. Work with other BU and second line risk teams to ensure risks are monitored, remediated and/or reported appropriately to the right stakeholders. Help prepare data artifacts and evidence for internal and external audits, ensuring the ‘burden of proof’ is easily met. Role Qualifications and Requirements: 1+ years of experience around Data Governance and Compliance, or, alternatively, 1+ years of experience in working with Data, coming from Data Analysis, Business Analysis, Analytical background Good verbal, written and interpersonal communication skills, with the ability to apply common sense to carry out instructions and instruct others, write reports, correspondence and procedures, and speak clearly with stakeholders. Understanding of risk management procedures; Ability to think through risk management problems involving multiple facets and variables in non-standardized situations, requiring non-standard solutions. Ability to work independently with a wide variety of stakeholders. 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.

About us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world About the team: 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 to 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 This enables the maturity of Data and AI capabilities across Booking.com, unlocking data and algorithms as assets for delivering innovative growth opportunities and cost saving operational efficiencies. Role Description: The Data & AI Governance Analyst role contributes to balancing regulatory safety with high-velocity innovation. Sitting within the Data & AI Governance Department, you will be part of the team that translates complex regulations (DMA, EU AI Act, etc.) into everyday agile practices. You will assist with moving beyond simple ‘checkbox compliance’, helping product and tech teams navigate the complexities of data governance and ethical AI without slowing down development. You will be challenged to learn & adapt to new tools & technologies as a part of being a champion of change. You will assist with the full lifecycle of governance, from maintaining the Data Catalogue and AI Registry, to conducting quality control reviews thus ensuring our ‘agile’ environment remains a ‘compliant’ environment. You will work cross-functionally with business and tech stakeholders to ensure the regulatory and internal policies are not just written but translated into practical guardrails. Key Job Responsibilities and Duties: Data & AI Governance Compliance Operations Oversee the daily health of the various compliance dashboards. Ensure critical parameters and thresholds are monitored and actioned upon Assist in operationalizing governance frameworks (AI standard, master data management, etc.) that support the ‘High Velocity’ of change, ensuring guardrails keeps pace with changes. Regulatory Compliance & Monitoring Assist with risk & control implications of digital regulations (DMA, EU AI Act, GDPR, etc.) and help translate legal requirements into clear, actionable items for engineering and product teams. Help build the compliance monitoring plan. Actively monitor controls, review key activities, and validate that business units are adhering to defined requirements and policies. Help identify compliance risks or control deficiencies in early stages projects or implementation. Escalate material risks to the Compliance Manager with recommended remediation strategies. Adoption, Culture & Change Management Assist with the adoption of new governance tools and technologies. Create practical processes and raise awareness that make it easier for teams to be compliant than to cut corners. Simplify compliance concepts for non-technical stakeholders across the organization. Ideate and embed automated compliance checkpoints into the agile processes for continual compliance Policy Maintenance & Reporting Assist leadership in maintaining the compliance resource library. Ensure policies are not static documents but are regularly updated to reflect new regulatory standards and industry best practices. Assist with the remediation process ensuring that identified deficiencies are logged, tracked, and monitored until they are fully remediated and closed. Work with other BU and second line risk teams to ensure risks are monitored, remediated and/or reported appropriately to the right stakeholders. Help prepare data artifacts and evidence for internal and external audits, ensuring the ‘burden of proof’ is easily met. Role Qualifications and Requirements: 1+ years of experience around Data Governance and Compliance, or, alternatively, 1+ years of experience in working with Data, coming from Data Analysis, Business Analysis, Analytical background Good verbal, written and interpersonal communication skills, with the ability to apply common sense to carry out instructions and instruct others, write reports, correspondence and procedures, and speak clearly with stakeholders. Understanding of risk management procedures; Ability to think through risk management problems involving multiple facets and variables in non-standardized situations, requiring non-standard solutions. Ability to work independently with a wide variety of stakeholders. 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.

About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world. About the team: The Data quality and observability team focus on increasing reliability of data by providing tooling that increases observability and quality across several “lenses”: platform, data and AI. The needs addressed by the team are diverse, spanning both critical areas like risk and compliance, as well as exciting greenfield initiatives that require new assessments. Role Description: This role entails building and leading a new Bangalore team, designed to integrate with the existing Amsterdam track. The team will be responsible for developing and maintaining data quality and data observability solutions that enable the company to track critical data such as payments and ensure the minimum set of requirements are followed. Key Job Responsibilities and Duties: People Leadership Directly manage engineers Lead by example by taking ownership, being proactive and collaborating Foster a great culture that innovates, work together as a team, partner with other Booking.com teams and roles and celebrates unified success Respect the Booking.com values and use them as a guide to the way we work Inspire, grow, and develop individuals within the team; help create personal development plans using available learning resources and stretch opportunities. Communicate clear, structured, and relevant information to diverse stakeholders. Adapt style to the audience and lead active listening and conflict resolution Technology, Craft & Delivery Experience in designing and architecting APIs, dealing with high traffic Experience in large scale data processing and workflow management Mastery in technology leadership Engineering delivery, quality and practices within own team Delivery of the wider engineering strategic objectives Embed agile ways of working and company values within the team Ability to get into the technical detail (where required) to coach, support and mentor the team Adhere to the default principles for architecture, quality and non-functional requirements Contribute to the evolution of best practices across the department Drive a culture of ownership and technical excellence, including reactive work such as incident escalations Learn new technologies and keep abreast of existing technologies to be able to share learnings and apply these to a variety of projects when needed A strong data product mindset, treating data observability as a core feature and data as a product Architecture & Product Strategy Define, shape and deliver the roadmap Build new products, processes and operational plans Negotiate on the strategic importance of own product roadmap features Drive innovation in the team Own the architecture across the team This role may require participation in an on-call rotation. Role Qualifications and Requirements: 5+ years of experience in software development within a team. At least 2 years of experience leading and managing a team of engineers in a fast-paced and complex environment. Experience working with public cloud providers such as AWS Proven track record of hands-on technical leadership. Experience with big data tools (e.g. Spark or Flink) and Kafka are a plus. Proven experience with incident management, on-call rotations, and implementing reliability best practices. Strong understanding of observability principles (metrics, tracing, logging) applied to complex data systems. Strong understanding of SRE principles and frameworks (e.g. Google SRE book) Knowledge Engineering concepts (e.g. Knowledge Graphs, Graph Queries, Semantic Web, etc.) and Data Governance (Quality, Stewardship, Security, Compliance, Architecture) are strong pluses Strong understanding of the software development lifecycle and agile methodologies. Strong technical skills (Coding & System design) with the ability to get hands-on with your team if needed Excellent communicator with strong stakeholder management experience, good commercial awareness and technical vision You are a humble and thoughtful technology leader, you lead by example and gain your teammates’ respect through actions, not the title 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. 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.