Director, AI & Data Product

What You’ll Deliver

• Generative Engine Optimization (GEO) & Search Defense
  • Architect and execute PTG's GEO strategy, partnering with the Product Managers, stakeholders and IT resources.
  • Drive LLM visibility for our hotels, offers, and loyalty program within the major LLMs.
  • Partner with the Content team to structure data specifically for AI ingestion and RAG architectures, including schema markup, structured content models, and entity disambiguation across the hotel portfolio.
  • Define and track GEO performance metrics, establishing PTG's methodology for measuring AI-driven discoverability.
• Commercial Data Platform & CDP Ownership
  • Own the product roadmap for PTG's customer data foundation and data as a product strategy, including understanding of a medallion architecture integrating booking, loyalty, clickstream, and marketing data.
  • Serve as the product owner of PTG's Customer Data Platform (CDP), overseeing the unified member profile layer that consolidates identity resolution, behavioral signals, and loyalty data into actionable segments for marketing, personalization, and AI model grounding.
  • Define the data products with key stakeholders including Marketing and IT for gold-layer outputs that serve downstream consumers: campaign activation, revenue analytics, loyalty operations, and AI/ML feature pipelines.
  • Support data governance and privacy compliance for the commercial platform, including DPIA maintenance, PII handling standards, and vendor data processing agreements, prioritizing the needs of GDPR, CCPA, and hospitality-sector obligations.
  • Partner closely with IT, Data, Engineering, and AI teams to maintain the architectural boundary between the data product and IT infrastructure, while aligning platform design, governance, and downstream activation needs across each environment.
• AI Assistant Product Ownership
  • Own the roadmap and deployment of PTG's AI chat interfaces and assistants across web and mobile, for both usability and structured zero-party data collection.
  • Integrate conversational interfaces with the loyalty platform and booking stack, enabling intent-driven recommendations, personalization and seamless booking.
• Operational AI & Automation
  • Identify and build internal AI tools that eliminate heavy manual operational processes across content, onboarding, loyalty operations, and member support.
  • Oversee the ongoing optimization content ingestion automation to dynamically update hotel content in Preferred’s owned channels.
  • Partner with I Prefer Member Services to deploy AI-driven deflection tools, measuring deflection rate, member satisfaction, and cost-per-contact impact.
• Innovation & Vendor Strategy
  • Lead organization insights on emerging AI technologies, LLM capabilities for AI in hospitality and loyalty, as they impact the digital journey.
  • Vet and/or manage relationships with AI and data vendors, including CDP, analytics, and AI platform partners, compliance with PTG's data governance requirements.
  • Prototype and pitch net-new AI capabilities that drive incremental revenue, operational savings, or meaningful improvements in guest personalization and loyalty engagement.

What You’ll Bring To The Team

• 8+ years of experience in technical product management, with at least 2 years specifically focused on AI, machine learning, NLP, conversational UI, or data platform products.
• Practical understanding of Large Language Models, RAG architectures, prompt engineering, and how AI systems index, retrieve, and cite web and structured data.
• Hands-on product ownership experience with a commercial data platform or data warehouse environment, defining data products, working with dbt or similar transformation tooling, and managing the relationship between raw data ingestion and downstream analytics or AI consumers.
• Demonstrated experience with Customer Data Platforms (CDPs), understanding of identity resolution, unified profiles, segmentation, and how CDP outputs connect to personalization and campaign activation.
• Proven experience building and scaling consumer-facing AI products or advanced automation tools within an environment.
• Strong architectural understanding of modern data and AI stacks sufficient to guide engineering teams, including customer data foundations, event streaming, API-first integrations, and ML feature pipelines.
• Demonstrated ability to translate complex AI and data concepts into clear business value, ROI, operational savings, conversion lift, and loyalty engagement impact for non-technical executive audiences.
• Comfort operating in ambiguity with an entrepreneurial mindset: prototyping rapidly, defining metrics where none exist, and pivoting based on data.