AI Business Process & Automation Specialist

Meison•Grapevine, TX

1d•$85,000 - $90,000

About The Position

MEISON is a collection of high-end and luxury women’s apparel brands, including Jones New York, Misook, Ming Wang, and Kasper. The AI Business Process & Automation Specialist serves as the company’s subject-matter expert on AI tools, APIs, and integrations across operations. The role analyzes existing workflows, identifies inefficiencies and bottlenecks, evaluates processes before automation, and develops proof-of-concept automations using approved AI and low-code platforms. Work is fast-paced, structured, and detail-heavy, with a strong emphasis on accuracy and governance. The specialist partners with cross-functional teams to document workflows and identify opportunities for improvement, translates business needs into functional requirements, and manages an automation project pipeline. The role coordinates pilots, user acceptance testing, documentation, deployment, and training, while supporting company-wide AI adoption in accordance with data security, access control, and governance standards. Success is measured through demonstrable improvements such as hours saved, reduced error rates, and shorter cycle times, with solutions expected to be documented, scalable, and maintainable. The position is located in Grapevine, Texas, and offers a pay range of $85,000–$90,000. Applicants must complete a Culture Index survey after applying to be interviewed.

Requirements

Bachelor’s degree in Business Administration, Information Systems, Operations Management, Supply Chain Management, Industrial Engineering, or a related field, or equivalent practical experience.
3–5+ years of experience in business analysis, process improvement, business systems, digital transformation, or automation-related roles.
Proven ability to analyze complex business workflows and translate operational requirements into actionable technology solutions.
Hands-on experience implementing workflow automation, AI-enabled business solutions, or low-code/no-code applications.
Working knowledge of generative AI tools, AI agents, APIs, and integration concepts.
Strong process mapping, requirements gathering, problem-solving, and project coordination skills.
Ability to communicate effectively with non-technical business users and technical development teams.
Ability to work independently, manage multiple initiatives, and own projects from discovery through implementation.
Ability to evaluate solutions based on business value rather than technology trends.

Nice To Haves

Experience with AI tools such as Claude, ChatGPT, Gemini, or similar enterprise AI platforms.
Experience with workflow automation tools such as n8n, Make, Zapier, Power Automate, or similar technologies.
Familiarity with SQL, REST APIs, webhooks, and relational databases.
Experience working with ERP systems such as NetSuite and business applications such as Shopify.
Experience supporting internal application development or business systems integrations.
Familiarity with AI agent orchestration, prompt engineering, and human-in-the-loop workflows.
Background in apparel, retail, wholesale distribution, supply chain, or e-commerce.
Experience with process improvement methodologies such as Lean or Six Sigma.

Responsibilities

Partner with cross-functional teams to document current-state workflows and identify manual tasks, bottlenecks, and opportunities for standardization.
Evaluate processes before automating them and build proof-of-concept solutions using approved AI tools, low-code/no-code platforms, and APIs.
Translate business needs into functional specifications, workflow logic, user stories, and acceptance criteria.
Maintain and prioritize a centralized pipeline of process improvement and automation projects based on value, feasibility, cost, and risk.
Coordinate pilots, user acceptance testing (UAT), documentation, deployment, and training to support adoption of AI-enabled workflows.
Support company-wide AI adoption within data security, access control, and governance standards, and track measurable improvements.
Troubleshoot and evaluate solutions based on complexity, cost, security, and maintainability; demonstrate results through measures such as hours saved, error rates, and cycle times.