Manager, Data Science

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Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group is pleased to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world.

We are proud to be the vacation-industry leader with global brands — including Royal Caribbean International, Celebrity Cruises and Silversea Cruises — the most innovative fleet and private destinations, and the best people. Together, we are dedicated to turning the vacation of a lifetime into a lifetime of vacations for our guests.

The Royal Caribbean Group’sAI and Analytics Team
has an exciting career opportunity for a full time
Manager, Data Science reporting to theSr. Manager, Data Science.

The position is onsite and based in Miami, Florida.

The position is also not eligible for work authorization sponsorship.

Position Summary:

To lead a data science team accountable for applying AI and decision science to Royal Caribbean Group’s highest-stakes operational and capital decisions across Newbuild, Global Marine Operations, and Deployment. The portfolio spans the Newbuild Enterprise Observatory, asset and vessel intelligence, decarbonization and energy analytics, safety and risk decision support, and deployment optimization. The role requires predictive modeling, optimization, digital-twin, GenAI, and knowledge-system depth, combined with the judgment to manage long-horizon decisions, operational trade-offs, and adoption across complex technical domains.

• People Leadership: Lead, coach, and develop data science talent across Newbuild, GMO, Safety, Energy, and Deployment, placing technical guidance and domain translation close to the teams while enabling directors to focus on fewer, higher-value priorities.
• Delivery Accountability: Own reliable delivery of knowledge, predictive, optimization, Digital Twin, safety, and deployment initiatives from problem framing through operational adoption, monitoring, and measurable decision improvement.
• Technical Oversight: Provide technical direction across GenAI knowledge systems, forecasting, predictive maintenance and reliability, Digital Twins, emissions and fuel models, risk analytics, simulation, and constrained optimization.
• Portfolio Management: Prioritize work by decision criticality, capital and operating exposure, safety relevance, adoption readiness, data maturity, integration dependencies, and production feasibility across long-duration programs.
• Stakeholder Management: Partner with Newbuild, GMO, Decarbonization, Energy Management, Safety, Risk, Deployment, Revenue Planning, Finance, IT, AI Engineering, Data Engineering, architects, and operational leaders to define decisions, trade-offs, and ownership.
• Change Management: Move solutions beyond repositories and dashboards by embedding knowledge, forecasts, and optimization outputs into recurring Newbuild, fleet, energy, safety, and deployment decisions with clear operating routines and accountability.
• Governance & Risk: Ensure assets follow Responsible AI, validation, traceability, explainability, auditability, cybersecurity, privacy, safety, and model-risk expectations appropriate to capital, regulatory, and vessel-operating decisions.
• Resource Planning: Forecast capacity across long-horizon Newbuild work, production marine analytics, energy forecasting, safety support, and deployment optimization so urgent operational needs do not crowd out strategic asset development.
• Talent Strategy: Build depth across optimization, Digital Twins, energy and emissions analytics, reliability, safety and risk modeling, GenAI knowledge systems, and production…