Sr Director Revenue Mgmt Tech Delivery

Position Summary The Senior Director, Revenue Management Technology Delivery leads the technology organization that enables Revenue Management through data, analytics, and application platforms. This senior technology and delivery leadership role is accountable for translating Revenue Management strategy into business capabilities, product roadmaps, and measurable outcomes that support pricing, demand forecasting, inventory management, and yield optimization. The leader acts as the primary bridge between Revenue Management business leaders and technology teams, driving alignment between business priorities, product roadmaps, and delivery execution. Positioned within the IT PMO, this role does not have direct reports and achieves results through influence, collaboration, and coordination across multiple product, engineering, data, and architecture teams. Success in this role requires a strong understanding of Revenue Management concepts, agile delivery, stakeholder alignment, and cross‑functional leadership, supported by sufficient technical fluency to guide decisions, assess risks, and partner effectively with product owners, architects, engineers, and data science teams. Key Responsibilities Provide leadership, coordination, and strategic direction across multidisciplinary product, engineering, data, and architecture teams supporting Revenue Management initiatives. Set the product, delivery, and technology enablement vision for the Revenue Management Technology portfolio, ensuring alignment with business priorities, enterprise architecture, security, and delivery standards. Influence and support talent development through coaching, mentoring, knowledge sharing, and collaboration with functional leaders across technology and business teams. Cultivate a culture of engineering excellence, data‑driven decision making, operational discipline, and continuous improvement. Partner with business and technology leaders to develop, prioritize, and govern investment plans, budgets, vendor relationships, and resource allocations in support of Revenue Management objectives. Business Partnership Serve as the primary technology partner to the Revenue Management business leadership, building deep understanding of pricing, forecasting, yield, and inventory optimization workflows. Partner with business stakeholders to elicit, prioritize, and translate data needs—such as new data sources, data quality expectations, latency requirements, governance, and analytical use cases—into a technology roadmap. Collaborate with Revenue Management, data science, and technology teams to ensure platforms and tools support forecasting, pricing, optimization, experimentation, deployment, monitoring, and continuous improvement needs. Translate business outcomes into measurable technology objectives (e.g., forecast accuracy lift, time-to-deploy a new model, data freshness SLAs, decision-support latency), and report progress to senior business and technology leadership. Influence executive stakeholders by communicating complex data and ML concepts in plain, business‑relevant language. Technology Strategy and Architecture Own the multi‑year technology roadmap for Revenue Management data platforms, ML infrastructure, and application portfolio. Provide business-informed oversight on architecture and platform decisions, ensuring technical approaches support Revenue Management outcomes, delivery commitments, scalability, reliability, and enterprise standards. Ensure platforms support the end-to-end Revenue Management analytics lifecycle, from data availability and model enablement through deployment, monitoring, adoption, and business performance measurement. Partner with architects and engineering leaders to evaluate and select appropriate data, analytics, ML, and cloud tooling, balancing business value, delivery speed, enterprise standards, maintainability, and cost. Champion modern delivery, operational, and engineering practices that improve reliability, security, transparency, speed to market, and cost discipline. Delivery and Product Management Lead an agile delivery model across multiple product teams, ensuring clear product ownership, well‑defined backlogs, predictable delivery cadence, and measurable outcomes. Partner with product owners and delivery leaders to ensure roadmaps reflect business priorities, are sequenced for value delivery, and are grounded in realistic engineering estimates. Drive operational excellence for business-facing Revenue Management capabilities, including service expectations, incident response, adoption, continuous reliability improvement, and measurable business impact. Ensure compliance with enterprise standards for security, privacy, data governance, change management, and audit. Required Knowledge and Experience Revenue Management and Business Domain Strong understanding of Revenue Management concepts such as pricing, demand forecasting, inventory control, yield optimization, and decision‑support workflows. Ability to translate Revenue Management strategy, pain points, and operational needs into prioritized technology capabilities and measurable outcomes. Experience partnering with business stakeholders to define success measures such as forecast accuracy, speed to market, data freshness, user adoption, and decision latency. Ability to communicate data, analytics, and optimization concepts in practical business terms for executive and operational audiences. Delivery and Product Leadership Experience leading agile delivery across multiple teams, with clear ownership, prioritization, roadmap governance, and value-based sequencing. Ability to coach product owners and delivery leads on backlog management, stakeholder alignment, dependency management, and outcome-based planning. Strong delivery discipline, including risk management, trade‑off decisions, progress reporting, and accountability for business outcomes. Experience balancing near‑term delivery needs with longer‑term platform and capability investments. Data, Analytics, and ML Enablement Practical understanding of how data, analytics, and machine learning support Revenue Management use cases, including forecasting, pricing, optimization, and performance monitoring. Ability to partner with data engineering, data science, and architecture teams to ensure required data sources, quality, governance, and platform capabilities are available. Conversational fluency in data pipelines, analytics platforms, model deployment, monitoring, and retraining concepts, sufficient to evaluate risk and support informed decision-making. Ability to ensure technical work is connected to business adoption, operational readiness, and measurable Revenue Management value. Software Development General understanding of modern software delivery practices, quality engineering, security, operational reliability, and technology lifecycle management. Familiarity with modern application architectures and delivery patterns sufficient to engage product, engineering, and architecture teams effectively. Awareness of enterprise security, compliance, governance, and operational standards that support reliable technology delivery. Technology Oversight and Partnership Ability to work effectively with solution architects, engineering leaders, data teams, security, infrastructure, and enterprise architecture partners. General understanding of cloud-based data, analytics, and application platforms, including the ability to evaluate options at the business capability and delivery level. Familiarity with modern engineering and operational practices such as automated delivery, observability, security‑by‑design, reliability, and cost management, without needing to personally implement them. Ability to challenge technical proposals constructively by focusing on business fit, scalability, reliability, cost, risk, and delivery feasibility. Experience Qualifications 15+ years of progressive technology, product, delivery, or business technology leadership experience, with significant experience leading cross-functional teams. Demonstrated experience delivering data, analytics, application, or decision-support capabilities for a quantitative business function such as Revenue Management, pricing, supply chain, risk, marketing analytics, or similar. Experience leading complex cross-functional portfolios and influencing teams across product, delivery, engineering, analytics, and business functions. Proven ability to translate business strategy into roadmaps, delivery plans, investment priorities, and measurable outcomes. Experience managing operating and capital budgets, vendor relationships, SaaS/platform investments, and delivery trade-offs. Leadership Attributes Strong executive presence; able to translate between Revenue Management leaders, product teams, delivery teams, and technical experts. Outcome-oriented leader who prioritizes business value, adoption, delivery predictability, and operational excellence. Comfortable holding teams accountable to delivery, quality, reliability, and enterprise standards without personally owning detailed technical implementation. Collaborative partner to peer technology leaders across enterprise architecture, security, infrastructure, data, and business technology functions. Education Bachelor’s degree in Business, Computer Science, Engineering, Mathematics, Analytics, or a related discipline required; advanced degree preferred. Equal Opportunity Employer Norwegian Cruise Line Holding’s policy is 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. #J-18808-Ljbffr Norwegian Cruise Line Holdings Ltd.