AI Platforms & Data Architecture (Snowflake)

Job Summary

• Hyatt is building a next-generation enterprise AI and data ecosystem, and this role sits at the center of that transformation.
• The position combines AI platform ownership, data architecture, and enterprise governance to enable secure, scalable adoption of generative AI across the business.
• At its core, this is a hands-on platform and architecture role responsible for managing Hyatt’s OpenAI/ChatGPT Enterprise environment while also shaping the company’s broader data and AI infrastructure strategy (Snowflake + AWS).

Must have:

• Strong problem-solving skills in ambiguous, fast-paced environments
• Experience building scalable data pipelines and analytics solutions
• Familiarity with BI tools (Tableau, Power BI, ThoughtSpot, Looker)
• Experience with cloud migrations (on-prem to AWS/Google Cloud Platform)
• Strong stakeholder management and communication skills
• Ability to manage multiple initiatives across teams
• High attention to detail and commitment to quality
• Experience with large-scale enterprise Snowflake implementations
• Experience across Linux and Windows environments
• Knowledge of networking, cloud security groups, and policies
• Advanced degree in Computer Science or related field (preferred)

Preferred Certifications.

• AI/ML certifications (preferred)
• AWS Certifications (Solutions Architect, Developer, DevOps)
• Other cloud certifications (Azure, Google Cloud Platform) are a plus

What the role does:

• Administers and governs enterprise AI platforms (ChatGPT/OpenAI), including user access, security, compliance, and cost control
• Designs and enforces AI usage policies, guardrails, and responsible AI practices in partnership with cybersecurity
• Builds and supports AI-driven solutions (custom GPTs, RAG pipelines, LLM integrations) across business functions
• Acts as a bridge between AI platforms, enterprise data (Snowflake), and cloud infrastructure (AWS)
• Defines and drives enterprise data architecture standards (data flows, models, integration, governance, quality)
• Enables secure data access for AI use cases using Snowflake Cortex and modern data stack tools
• Automates platform operations and workflows using Python, APIs, and cloud-native services
• Integrates AI workflows with enterprise systems like ServiceNow and Jira
• Monitors usage, performance, and risk (security, compliance, hallucination, data leakage)
• Leads internal AI adoption through enablement, training, and community building across teams

Partners closely with engineering, cybersecurity, data teams, and business stakeholders to deliver scalable AI solutions