The AI Operations Manager

Pay rate range - $45/hr to $49/hr.
Schedule: Fully onsite


Description:

Top skills:
-Data Analysis
-Dashboard Development (Power BI / Tableau / AI )
-Retail / Client Domain Knowledge

KEY RESPONSIBILITES/REQUIREMENTS:

Position Summary:

The AI Operations Manager will lead the automation of MX (Mobile) Sales Data, Survey Data, coordination, content creation and distribution, KPI reporting, and Retail data analysis through AI-driven workflows.
This role will eliminate manual inefficiencies, deliver real-time cross-functional visibility, and accelerate decision-making to strengthen execution for the MX Insights Analytics team.

Roles & Responsibilities:
• Automate data extraction using AI-driven tools to provide actionable data for strategic decision-making.
• Develop AI-enabled workflows to integrate our current data sources with ETL streams
• Develop and distribute content through AI-enhanced platforms to optimize reach and engagement.
• Generate AI-enabled insights using data from a variety of sources to enhance drive data driven decisions
• Conduct strategy analysis by leveraging AI tools to evaluate market trends and recommend data-driven solutions.

Minimum Qualifications:
• Bachelor's degree in Business Management, Computer Science, Operations, or a related field.
• 3+ years of experience with a focus on automation and AI-driven workflows.
• Proficiency in AI tools (Either Claude, Gemini, or Cline, Open AI, Co-Pilot, DeepSeek) and platforms for data analysis, reporting, process optimization, and integration.
• Strong understanding of retail operations.
• Ability to look at data and analyze to build key insights
• Curious mindset with strong verbal communication skills
• Excellent communication and project management skills.

Preferred Qualifications:
• Experience in retail operations within the technology or consumer electronics industry.
• Familiarity with AI-driven tools for content creation, System Integration, and distribution.
• Demonstrated ability to lead cross-functional teams in a fast-paced environment.
• Experience with KPI reporting and performance analysis using AI analytics.