AI Analyst

Remington Hospitality•Dallas, TX

17d

About The Position

Ashford Inc. is building an enterprise AI capability across its full portfolio of business entities. The AI & Special Projects Division is the engine behind that transformation. The AI Automation Analyst is the division's first dedicated technical hire. This person will build and deploy automation systems, AI agents, and workflow integrations that turn approved use cases into working tools across accounting, finance, legal, operations, and corporate functions. This is a hands-on builder role. You will ship working automations, not slide decks. You will connect systems that already exist, eliminate manual work, and create measurable efficiency across the portfolio. You will work directly alongside the SVP of Strategy & Operations and own the technical execution of the division's highest-priority initiatives.

Requirements

Bachelor's or Master's degree in Computer Science, engineering, or equivalent practical experience
4+ years of professional experience in software engineering, automation, or applied AI development
Demonstrated track record shipping production automation systems — not proofs of concept
Experience deploying LLM-based solutions against real business workflows (finance, ops, or legal preferred)
Hands-on background with multi-system integrations across enterprise environments
Ability to translate ambiguous business requirements into working technical implementations
Python (REST APIs, scripting, automation), SQL (PostgreSQL, MySQL)
Claude / Anthropic API, OpenAI API, LangChain, Prompt Engineering, Document Processing
Make.com, Zapier, n8n, Webhooks, ETL Pipeline Design
Data Modeling, Real-Time Dashboards, Airtable, Executive Reporting Pipelines
Microsoft 365 (Admin), CRM Integration (Salesforce / HubSpot), QuickBooks Integration

Nice To Haves

Experience in hospitality, real estate, or multi-entity corporate environments is a plus
Oracle, Smartsheet, Autodesk Construction Cloud (ACC), Concur, Legisway

Responsibilities

Automate high-volume, repetitive back-office workflows across accounting and finance functions
Build integrations between enterprise systems to eliminate manual data movement and reconciliation
Develop automated reporting pipelines that give leadership real-time visibility into financial performance
Build and deploy reusable AI agents and standardized skills that scale across multiple business entities
Design prompt libraries and agent frameworks that non-technical associates can use without support
Maintain and improve deployed agents based on operational feedback and evolving business requirements
Build live, queryable data models that replace static spreadsheet-based reporting
Support data preparation and cleaning initiatives that underpin AI readiness across the portfolio
Construct ETL pipelines that connect source systems to executive and operational dashboards
Connect existing enterprise tools via REST APIs and workflow automation platforms — without ripping and replacing what works
Evaluate and implement third-party AI tools through a structured pilot-and-validate process
Enforce integration standards, security controls, and governance requirements across all builds