Data and AI Operations Manager

PACS

2d • $150,000 - $170,000 • Hybrid

About The Position

The Data and AI Operations Manager is responsible for architecting, implementing, and continuously refining AI driven systems that unify digital marketing data and surface actionable insights. This individual contributor partners closely with digital marketing teams to identify what's working, where support is needed, and how AI can accelerate performance at scale. They will own the roadmap for Al models, data pipelines, analytics frameworks, and experimentation processes that support 300+ facilities.

Requirements

• Expertise data analytics, customer journey flows, user experience, data-driven decision making.
• Hands on experience with LLMs, Machine learning pipelines. and Al automation framework.
• Strong ability to build ETL/EL, and data integrations
• Familiarity with social analytics, reputation management platforms, CMS/website analytics, and CRM systems.
• Ability to translate technical findings into clear narratives for non-technical stakeholders.
• Proven success driving complex initiatives as an individual contributor.

Nice To Haves

• Experience supporting multi-location or franchise-style organizations.
• Bachelor's degree in IT, analytics, business, or related field.
• Familiarity with AI observability, model monitoring, and prompt engineering.
• Strong understanding of SEO, paid media, and social strategy.

Responsibilities

• Design, deploy, and maintain Al models that aggregate and analyze data from social platforms, reputation tools, websites, and other digital channels.
• Build scalable data flows that consolidate multi-source marketing data into unified dashboards and insight engines.
• Translate complex data into clear, actionable recommendations for digital marketing teams supporting 300+ facilities.
• Lead continuous testing, validation, and refinement of Al models to improve accuracy, efficiency, and predictive value.
• Partner with social, SEO, web, and facility teams to identify opportunities for Al-driven improvements.
• Ensure all Al and analytics solutions are built for multi-facility scale, reliability, and ease of adoption.
• Establish standards for data quality, consistency, and responsible Al usage.
• Stay ahead of emerging Al technologies and proactively recommend new tools, models, and approaches.

Benefits

• medical, dental, and vision plans
• generous paid time off and holidays
• Health Savings Accounts (HSA)
• Flexible Spending Accounts (FSA)
• 401(k) plan, with company contributions
• Employee Assistance Plan (EAP)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree