DIRECTOR OF PRODUCT MANAGEMENT - DATA & AI at Seminole Gaming

Davie, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Product Management, Product Strategy, Data Architecture, AI/ML Model Deployment, Data Governance, Team Leadership, Cross-Functional Collaboration, Communication Skills, Customer Data Platform, Predictive Analytics, Agile Methodologies, Data Insights, Personalization, Data Ecosystems, Technical Fluency, Emerging Technologies

Industry

Gambling Facilities and Casinos

Description

Overview At Seminole Hard Rock Support Services, we’re on a mission to harness data and AI to deliver legendary, personalized guest experiences across every touchpoint. As the Director of Data Products, you will define and drive the long-term vision, strategy, and execution of our enterprise data ecosystem- building the foundation for a unified Customer 360 platform and advanced ML-powered insights and agents.This role requires a visionary leader who can blend product strategy, data architecture understanding, and organizational leadership to transform how data fuels personalization, engagement, and decision-making across the different Hard Rock channels. Responsibilities Strategic Leadership•Define and lead the end-to-end data strategy for our data products, aligning with business objectives, digital transformation goals, and AI/ML innovation initiatives.•Develop and execute a multi-year roadmap for a scalable, unified customer data platform (CDP), enabling real-time insights and personalization across all guest interactions.•Partner with executive leadership to embed data as a strategic asset, influencing product, marketing, and operational decision-making and processes. Platform Vision & Execution•Oversee the design, development, and evolution of a Customer 360 data foundation integrating data from casino, commerce, content, loyalty, and engagement systems.•Lead the creation of AI and ML models and intelligent agents that drive personalization, recommendations, and predictive analytics.•Collaborate with engineers and data scientists to ensure a high-performance, secure, and compliant data architecture that scales with business growth.•Establish best practices for data governance, lineage, and quality, ensuring consistency and trust in insights. Qualifications Qualifications & Experience:•8–10+ years of experience in data product management, product strategy, and data platform leadership, ideally within digital products or consumer ecosystems.•Demonstrated success building or scaling unified customer data platforms or enterprise data ecosystems.•Strong technical fluency in data architecture, pipelines, AI/ML model deployment, and data governance frameworks.•Proven ability to lead and inspire teams, manage cross-functional initiatives, and deliver measurable business impact through data.•Excellent storytelling and communication skills, with a track record of influencing at executive levels.•Deep passion for transforming data into personalized, immersive customer experiences. Professional Skills:•Build, mentor, and lead a cross-functional team of data product managers, analysts, and engineers to deliver on the data platform vision.•Foster an Agile, high-performance culture that values experimentation, collaboration, and rapid results.•Partner closely with engineering and AI research leaders to prioritize initiatives that maximize value from data investments.•Act as a bridge between technical and business stakeholders, translating complex data capabilities into clear business outcomes.•Stay at the forefront of data, AI, and machine learning trends- continuously identifying opportunities to apply emerging technologies for competitive advantage.

Responsibilities

The Director of Product Management will define and lead the end-to-end data strategy for data products, ensuring alignment with business objectives and digital transformation goals. This role involves overseeing the design and development of a Customer 360 data foundation and leading the creation of AI and ML models for personalized guest experiences.