Manager, Data Science

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’s AI and Analytics Team has an exciting career opportunity for a full time Manager Data Sciencereporting to the Sr 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 operations while developing credible technical partners to business leaders

Qualifications:

• Experience: Demonstrated experience appropriate to manager scope delivering ML optimization experimentation or GenAI solutions that moved beyond analysis into production use or business decisioning Relevant experience in the assigned portfolio domain is strongly preferred
• Technical Credibility: Strong grounding in statistics machine learning optimization GenAI methods evaluation and production model lifecycle practices with the judgment to challenge assumptions and explain tradeoffs
• Strategic Leadership: Ability to translate business strategy into sequenced analytical roadmaps model portfolios adoption plans and value tracking routines aligned to data scientists product owners AI engineering data engineering and business stakeholders
• Financial Acumen: Working knowledge of value sizing ROI framing experimentation economics cloud/model operating costs and investment tradeoffs
• Communication: Clear communication skills with data scientists product owners AI engineering data engineering and business stakeholders including the ability to explain model logic uncertainty tradeoffs risks and recommended decisions in business terms
• Change Leadership: Track record of driving adoption of analytical products experimentation practices model governance and data-driven operating routines across teams with different analytical maturity levels
• Governance: Knowledge of Responsible AI privacy explainability validation auditability and ethical use of data with experience embedding governance into data science workflows
• Vendor Management: Ability to evaluate external data model providers optimization tools GenAI services and consulting support based on business value accuracy integration effort risk and long-term leverage
• Organizational Design: Understanding of how to scale data science teams intake models value governance production support stakeholder engagement and career paths as analytical demand grows

HOW HAS THE JOB CHANGED/GROWN

The role has expanded from supporting individual marine or analytical use cases into leading an integrated operational and capital decision portfolio The manager must connect institutional knowledge Digital Twins predictive analytics safety intelligence and optimization while driving adoption in recurring decisions rather than creating standalone repositories or prototypes

INTERNAL/ EXTERNAL RELATIONSHIPS

Internal – Newbuild GMO Decarbonization Energy Management Safety Risk Deployment Revenue Planning Finance IT AI Engineering and Data Engineering: Translate high-stakes capital and operational questions into knowledge predictive simulation and optimization roadmaps

• Internal – Architects fleet leaders operators and decision owners: Embed outputs into recurring decisions establish traceability and feedback loops and measure decision speed quality and reuse
• External – Shipyard engineering data model Digital Twin optimization and consulting partners: Evaluate external inputs based on technical validity business value integration effort intellectual-property leverage risk and maintainability

We know there's a lot to consider As you go through the application process our recruiters will be glad to provide guidance and more relevant details to answer any additional questions Thank you again for your interest in Royal Caribbean Group We'll hope to see you onboard soon!

It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race color religion sex age national origin disability sexual orientation sexuality gender identity or expression marital status or any other characteristic protected by law Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment

Nearest Major Market: Miami