Domain Architecture Director - Data & AI

GROW YOUR CAREER WITH USAt Norwegian Cruise Line Holdings (NCLH), we know our future success depends on our ability to attract and retain the very best talent. Our brands deliver vacations of a lifetime with innovative product offerings, a high level of service and unique guest experiences aboard each vessel and we’re continually seeking applicants who are passionate about hospitality and committed to being their personal best. As you learn more about our company, we think you will agree that there is no better time than now to become a member of the NCLH family!APPLY ONLINEIf you’re interested to be considered for this position, please click the blue APPLY button at the top of the page to get started. All candidates must complete an on-line application to be considered.Job SummaryThe Director, Domain Architecture -- Data & AI is a horizontal enterprise architecture leader responsible for defining and governing the target-state architecture of the company's data, analytics, and artificialintelligence ecosystem. This role owns the architectural strategy and standards for the Data & AI domain, including enterprise data platforms, canonical data models, event streaming, analytical and ML platforms, and the integrationpatterns that enable data and insight consumption across digital, partner, shipboard, customer, and corporate systems. Operating within a federated architecture model under Product Engineering, this Director provides crosscuttingarchitectural leadership across vertical delivery teams and embedded Solution Architects. The role ensures architectural integrity, scalability, governance, and long-term sustainability of one of the company's most insights- and decision-critical technology domains.This is a strategic architecture leadership role and does not function as an embedded delivery Solution Architect.Position ResponsibilitiesDefine and maintain the multi-year target-state architecture for the Data & AI domain, spanning dataingestion, storage, processing, analytics, and ML/AI enablement.Establish architectural guardrails for data platforms, AI/ML tooling, and self-service capabilities tobalance agility with governance and control.Own domain capability models and architectural blueprints across:Enterprise data lake / lakehouse and data warehouse platformsStreaming and event-driven data pipelinesMaster and reference data management, including canonical models for core entities (guest,reservation, voyage, revenue, ship, itinerary, product)BI, analytics, and reporting platformsData science and ML/AI platforms, feature stores, and model serving patternsData access, APIs, and semantic layers for consuming systemsDefine domain-level non-functional requirements (data quality, timeliness, performance, scalability, availability, recoverability).Serve as the architectural authority for enterprise data platforms, analytical ecosystems, and ML/AI enablement platforms (vendor and custom).Partner with Data Governance, InfoSec, and Privacy functions to embed policies (security, privacy,lineage, retention) into platform and solution designs.Evaluate vendor roadmaps and influence platform strategy in partnership with product, analytics, andtechnology leadership.Provide architectural oversight for major data platform evolution, migrations, and new capability adoption (e.g., real-time streaming, generative AI, new cloud data services)Define Data & AI domain service contracts, data product interfaces, and API exposure standards.Establish clear data ownership boundaries and stewardship models for enterprise entities and events.Collaborate with:Reservation Systems Architecture (booking, inventory, and transactional data streams)Customer & Loyalty Architecture (guest profile, behavior, segmentation, loyalty accrual/redemption)Shipboard Architecture (shipboard telemetry, operational, safety, and guest-experience data)Corporate Applications Architecture (finance, HR, supply chain, and operational systems of record)Enterprise Platform Architecture (cloud services, storage, compute, security, and observability foundations)Participate in cross-domain architecture decisions through the Enterprise Architecture Council.Define domain-level non-functional requirements (throughput, latency, cost-efficiency, RTO/RPO,elasticity) for data and AI platformsThis role operates within a federated architecture model:Enterprise / Domain Architecture (under Product Engineering) defines business capability architecture, domain boundaries, and application/data standards.Enterprise Platform Architecture (under the CIO) defines infrastructure, cloud, network, DevOps, security, and hosting standards for data and AI workloads.Solution Architects and Data/ML Architects are embedded in vertical engineering, analytics, and data science teams and design project-level solutions aligned to domain and platform standards.The Director, Domain Architecture -- Data & AI provides horizontal leadership and architectural authority across the enterprise for the Data & AI domain.Degree TypeBachelor's Degree (Master's Preferred)Field(s) Of StudyComputer Science, Data Science, Artificial Intelligence, Information Systems, Statistics or Applied MathematicsExperience & Qualifications10–12+ years of progressive architecture experience in complex, data-intensive enterpriseenvironments.Significant experience architecting enterprise data platforms, analytics ecosystems, and/or AI/MLsolutions at scale.Deep knowledge of data architecture patterns (warehouse, data lake/lakehouse, streaming, dataproducts) and their trade-offs.Experience with API-first and event-driven data integration patterns.Strong understanding of distributed systems, large-scale data processing, and non-functional designfor data and ML workloads.Demonstrated ability to influence senior technology, analytics, and business leaders in a matrixedenvironment.Experience operating within federated architecture and data governance models.Consumer-centric industry experience with rich customer and operational data.Experience with modern cloud data platforms and ML/AI tooling (in partnership with infrastructureand data platform teams).Familiarity with CRM, loyalty, digital, and operational data integration patterns, including identityresolution and segmentation.Experience defining and governing MLOps, model lifecycle, and responsible AI practices.Experience managing vendor lifecycle strategy and major data/AI platform upgrades or migrationsCompetencies & SkillsStrategic systems thinker with strong data and business acumen.Executive presence and ability to communicate complex data and AI architecture trade-offs in clearbusiness terms.Governance-oriented but innovation-enabling mindset, balancing experimentation with control.Ability to influence without direct authority across technology, analytics, and business domains.Strong risk management discipline for data privacy, security, compliance, and AI ethics.About NclhNorwegian Cruise Line Holdings Ltd. (NYSE: NCLH) is a leading global cruise company which operates the Norwegian Cruise Line®, Oceania Cruises® and Regent Seven Seas Cruises® brands. The combined brands currently operate 32 ships, employ over 35,000 shipboard crew from more than 110 different countries and visit approximately 700 different port destination each year.Learn More About Our CompanyAt a GlanceBrand OverviewNorwegian Cruise LineOceania CruisesRegent Seven Seas CruisesNew ReleasesEQUAL OPPORTUNITY EMPLOYERIt is Norwegian Cruise Line Holding’s policy not to discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, and marital or veteran status.The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.