Data and AI Operations Manager

General Purpose

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.

Essential Duties


* AI Systems Ownership — Design, deploy, and maintain Al models that aggregate and analyze data from social platforms, reputation tools, websites, and other digital channels.


* Data Integration & Architecture — Build scalable data flows that consolidate multi-source marketing data into unified dashboards and insight engines.


* Insight Generation — Translate complex data into clear, actionable recommendations for digital marketing teams supporting 300+ facilities.


* Al Experimentation — Lead continuous testing, validation, and refinement of Al models to improve accuracy, efficiency, and predictive value.


* Cross-Functional Collaboration — Partner with social, SEO, web, and facility teams to identify opportunities for Al-driven improvements.


* Scalability Strategy — Ensure all Al and analytics solutions are built for multi-facility scale, reliability, and ease of adoption.


* Data Governance — Establish standards for data quality, consistency, and responsible Al usage.


* Thought Leadership — Stay ahead of emerging Al technologies and proactively recommend new tools, models, and approaches.

Success Looks Like


* Al systems reliably unify data from 300+ facilities.


* Digital marketing teams receive clear, actionable insights weekly or in real time.


* Al models continuously improve through structured testing.


* Leadership sees measurable improvements in efficiency, visibility, and marketing ROI.


* The organization becomes more data-driven and Al-enabled across all digital channels.

Supervisory Requirements

This role may have supervisory requirements.

Qualifications

Education and/ or Experience

Required Skills & Experience


* Advanced Analytics- Expertise data analytics, customer journey flows, user experience, data- driven decision making.


* AI/ ML Proficiency- Hands on experience with LLMs, Machine learning pipelines.

and Al automation framework.


* Data Engineering -Strong ability to build ETL/EL, and data integrations


* Marketing Technology — Familiarity with social analytics, reputation management platforms, CMS/website analytics, and CRM systems.


* Communication — Ability to translate technical findings into clear narratives for non-technical stakeholders.


* Project Leadership,-


* Proven success driving ...