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AI Data Operations Analyst

Job in Mesa, Maricopa County, Arizona, 85201, USA
Listing for: Momos
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

AI Data Operations Analyst

As an AI Data Operations Analyst, you will be a pivotal team member in ensuring the highest levels of service for our users. You'll be involved in the day-to-day operations of the Customer Operations team, managing our AI agent + Human in the loop processes, and working with the product & data team to train our agents in a timely & efficient manner.

You'll also play a critical role in managing AI assisted reviews for our customers on a daily basis and ensure timely resolution of the reviews while also working on automations to improve AI agentic behavior.

  • Execute and manage human + AI review moderation workflows for major brand partners, ensuring high quality, compliance with brand guidelines, and timely turnaround.
  • Managing AI assisted reviews for our customers on a daily basis and ensure timely resolution of the reviews
  • Validate and refine AI-generated data such as:
  • Issue classification
  • Output verification for agentic training
  • Perform data training, labeling, and validation tasks to support agent model retraining and brand-specific behavior tuning.
  • Develop, maintain, and document processes for gathering, managing, and applying brand guidelines into Momo's AI system.
  • Support manual SFTP uploads of reviews and CDP data, pulling from FDP and other internal/external sources.
Data Automation & Advanced Operations
  • Build out processes and operate automations and scripts to streamline onboarding workflows, reducing reliance on engineering teams.
  • Map out SFTP and other data integration touchpoints, both internally and externally; recommend improvements for seamless data flow into Momo's ecosystem.
  • Support partnerships-related onboarding/offboarding owning the operational processes end to end.
  • Provide analytics support for Strategic Ops, Customer Success, and Customer Operations teams. Examples:
  • Account health reporting
  • Operational insights dashboards
  • Data pulls and SQL query support
  • Collaborate with engineering and data teams to identify opportunities to optimize data pipelines, automate manual tasks, and improve operational efficiency.
Key Performance Indicators (KPIs)
  • Maintain best in class service quality for our agentic review system
  • Meet or exceed First Response Time targets.
  • Meet or exceed Resolution Times
  • Bring down AI assisted reviews error rate to
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