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Manager, Decision Science

Job in Northern, Floyd County, Kentucky, USA
Listing for: Royal Caribbean Group
Full Time position
Listed on 2026-08-24
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 120000 - 190000 USD Yearly USD 120000.00 190000.00 YEAR
Job Description & How to Apply Below
Location: Northern

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Manager, Decision 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.

Royal Caribbean Group’s Finance Transformation Hub has an exciting career opportunity for a full-time Manager, Decision Science & Optimalization reporting to the Senior Director, Finance Data & Insights.

This position works on-site in Miami, Florida.

Position Summary:

The Manager, Decision Science & Optimization will serve as a key leader within the Finance Transformation Hub, responsible for deploying and scaling products that operationalize demand forecasting models, and other tools, across Royal Caribbean Group’s fleets, brands, and functions. The role will promote utilization of data to create insights to guide our strategy and provide recommendations to optimize existing processes & generate value.

The manager will lead a small team, partner closely with AI/Data Science, Data Engineering, Supply Chain, Finance, and Operations stakeholders, and ensure that dashboards, metrics, data models, and analytical tools are scalable, governed, automated, and adopted by business users. The ideal candidate combines strong product ownership, advanced analytics fluency, financial and operational acumen, and the ability to translate complex forecasting output into simple, trusted, executive-ready insights.

Essential Duties and Responsibilities:

  • Responsible for the oversight, performance, coaching, and career development of a small team potentially including analysts and leads who support integrated business planning and other decision science initiatives.
  • Lead the deployment and business enablement of demand forecasting models across the enterprise.
  • Partner with AI/Data Science and Data Engineering teams to translate model outputs, forecast accuracy trends, feature drivers, and variance explanations into intuitive dashboards, business workflows, and decision-support tools.
  • Lead UAT, documentation, training, adoption tracking, release communication, and continuous improvement for forecasting and BI products.
  • Drive adoption of forecasting and other BI capabilities through stakeholder training, documentation, office hours, feedback loops, and recurring business review cadences with the enterprise.
  • Establish and monitor data quality controls, metric definitions, dashboard governance, and refresh reliability standards to ensure business users can trust and act on forecast and financial outputs.
  • Develop and maintain KPI frameworks that track forecast accuracy, forecast bias, adoption, exception behavior, order creation performance, inventory health, budget variance, and value realization.
  • Support data analytics required to provide Brand Finance teams required forecast information.
  • Performs other duties as required.

This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to perform any other job-related duties assigned by their supervisor or management.

Qualifications, Knowledge and

Skills:

  • Four-year Bachelor's or equivalent required; MBA preferred.
  • Eight to ten years related business analysis / data science / finance / strategy experience and/or training.
  • Candidate must possess strong written and oral communication skills and be able to work effectively with all levels of personnel. Strong PC skills are required.
  • Experience deploying BI/AI/ML or analytics products tied to forecasting, demand planning, supply chain planning, revenue management, inventory, procurement, or financial planning.
  • Advanced Excel, Word, and PowerPoint skills required.
  • Advanced MS Power BI and Oracle SQL skills required
  • Understanding of backend systems and data architecture (Oracle, SQL Server, Azure Data Studio, etc.)
  • Ability to lead adoption, training, and change management across non-technical business teams.
  • Leadership:
    Ability to influence, inspire and develop a team while driving team…
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