JOB SUMMARY:
Leads the Segmentation and Modeling function within Commercial Advanced Data Analytics. Manages a team that develops, validates, and activates guest and audience segmentation, predictive, and causal models that improve commercial decision-making, guest relevance, and business performance. Owns the functional roadmap and translates business priorities into scalable analytics products and measurable use cases across marketing and guest touchpoints. Partners with Marketing, Sales, Digital Product, Guest and Journey Analytics, and Technology teams to integrate model outputs into planning, activation, personalization, and measurement. Communicates methods, insights, risks, and recommendations clearly to technical and executive audiences. This is role that balances people leadership and portfolio ownership with hands-on technical guidance, quality review, and problem solving. The Manager establishes standards for reproducible analysis, model performance, documentation, and responsible use of data.
MAJOR RESPONSIBILITIES:
- Segmentation and Modeling Strategy
- Own the roadmap for guest and audience segmentation, propensity, response, look-alike, next-best-action, and related predictive and causal modeling capabilities.
- Translate commercial questions into analytical hypotheses, model designs, decision rules, and measurable success criteria.
- Establish reusable segmentation frameworks and model outputs that support planning, targeting, personalization, and guest-experience decisions across known, identified, and anonymous audiences.
- Evaluate model performance and business impact through validation, testing, lift measurement, stability analysis, and ongoing monitoring.
- Provide technical direction and final quality review for modeling methodology, assumptions, interpretation, and recommendations.
- Team Leadership and Portfolio Management
- Lead, coach, and develop a team of data scientists; set goals, clarify accountability, recognize performance, and support career development.
- Prioritize the portfolio, assign resources, manage dependencies and risks, and maintain realistic delivery plans across concurrent initiatives.
- Conduct regular planning and performance reviews to align team objectives with broader commercial priorities.
- Build a culture of technical rigor, curiosity, collaboration, peer review, and continuous improvement.
- Model Delivery and Enablement
- Lead development standards for reproducible model pipelines, feature engineering, scoring workflows, documentation, and analytical code.
- Partner with Technology and data teams to define data, integration, platform, and deployment requirements for reliable production use.
- Identify platform and process enhancements that improve scale, speed, quality, and cost efficiency.
- Ensure analytical solutions are maintainable, auditable, and supported by clear ownership and operating procedures.
- Business Partnership and Adoption
- Engage business partners to frame opportunities, define decisions to be improved, and agree on deliverables, adoption plans, and success measures.
- Partner with Marketing, Sales, Audience Strategy, Guest and Journey Analytics, Digital Product, and Technology teams to embed analytical outputs in business workflows.
- Translate complex methodologies and results into clear business implications, recommended actions, and expected value.
- Build stakeholder understanding of segmentation and modeling capabilities, limitations, and appropriate use.
- Understand and actively participate in Environmental, Health & Safety responsibilities by following established UDX policy, procedures, training, and team member involvement activities.
- Perform other duties as assigned.
QUALIFICATIONS:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or abilities (KSAs) required.
- Ability to translate commercial priorities into a segmentation and modeling roadmap with clear decisions, deliverables, and measures of value.
- Deep knowledge of segmentation, clustering, propensity and response modeling, look-alike modeling, recommendation or next-best-action methods, and model evaluation.
- Experience applying predictive and causal methods to guest, customer, audience, marketing, or digital-product use cases.
- Experience moving analytical solutions from exploration through implementation, adoption, performance monitoring, and refinement.
- Strong proficiency in Python or R and SQL; working knowledge of cloud analytics platforms, scalable data processing, and production model workflows.
- Experience with experimental design, measurement, and the interpretation of model lift, bias, stability, and business impact.
- Ability to communicate complex technical concepts through clear visual, written, and verbal narratives for technical, business, and executive audiences.
- Demonstrated ability to lead multiple initiatives, manage priorities and dependencies, establish quality standards, and deliver through others.
- Demonstrated people leadership, including coaching, feedback, performance management, and career development.
- Strong cross-functional partnership and influence skills, with the ability to build alignment in a fast-paced environment.
- Commitment to reproducible analytics, peer review, documentation, and adherence to company data-use and technology standards.
- Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
- Consistent attendance is a job requirement.
EDUCATION:
- Bachelor’s degree in statistics, data science, computer science, mathematics, engineering, economics, business analytics, or a related quantitative field required. Master’s degree or other advanced quantitative degree preferred.
EXPERIENCE:
- 7+ years of experience in data science, advanced analytics, or a related field, including substantial hands-on experience with segmentation and predictive modeling.
- 2+ years of people-management experience or equivalent formal leadership of a data science or advanced analytics team.
- Demonstrated experience delivering analytical solutions that inform audience strategy, personalization, commercial planning, or guest/customer engagement.
- Demonstrated experience partnering with business and technology teams to operationalize models and measure business impact.
- Experience in travel, hospitality, entertainment, retail, media, or another direct-to-consumer business is preferred.
ADDITIONAL INFORMATION:
Carries out supervisory responsibilities in accordance with the organization’s policies and applicable laws.
Your talent, skills and experience will be rewarded with a competitive compensation package.
Universal Orlando Resort. Here you can.