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Artificial Intelligence Marketing Jobs (NOW HIRING)

Supply Chain and Marketing to enhance demand planning, inventory optimization, and customer ... A master's degree in Artificial Intelligence, Data Science, Analytics, Engineering, Business ...

Maintain a disciplined backlog of AI use cases across consumer experience, supply chain, retail and eCommerce, marketing, finance, and operations. AI Delivery & Platform Integration * Lead the ...

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How much do artificial intelligence marketing jobs pay per year?

As of Aug 9, 2026, the average yearly pay for artificial intelligence marketing in the United States is $47,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $53,500.00 per year, depending on experience, location, and employer.

How do I get into artificial intelligence marketing?

To pursue a career in artificial intelligence marketing, develop skills in data analysis, machine learning, and digital marketing tools. Gaining experience with programming languages like Python and marketing platforms, along with relevant certifications, can improve job prospects in this field.

What typical challenges do professionals in artificial intelligence marketing face on the job?

Professionals in Artificial Intelligence Marketing often face the challenge of integrating advanced AI tools into existing marketing strategies while ensuring that teams understand and trust the technology. Adapting to rapid changes in AI capabilities and keeping up with new data privacy regulations can be demanding. Additionally, effective collaboration between technical teams and creative marketing departments is vital for translating data insights into impactful campaigns. The fast-paced nature of the industry means ongoing learning and flexibility are essential, but these challenges also contribute to an exciting and innovative work environment.

What is an artificial intelligence marketing?

An Artificial Intelligence Marketing job involves leveraging AI technologies, such as machine learning and data analytics, to optimize marketing strategies. Professionals in this field use automation, predictive analytics, and personalized content to enhance customer engagement and improve campaign performance. They work with tools like chatbots, recommendation engines, and AI-driven ad platforms to drive business growth. AI marketers need a mix of data analysis, digital marketing, and AI knowledge to succeed. Their goal is to create smarter, data-driven marketing strategies that improve efficiency and ROI.

What are the key skills and qualifications needed to thrive in artificial intelligence marketing?

To thrive in Artificial Intelligence Marketing, you need a strong grounding in digital marketing, data analysis, and AI technologies, often supported by a degree in marketing, computer science, or a related field. Familiarity with marketing automation platforms, analytics tools like Google Analytics, and AI-driven customer segmentation or personalization systems is highly valued, and certifications in digital marketing or data science can be advantageous. Creativity, strategic thinking, and strong collaboration skills help professionals excel in translating complex AI-driven insights into actionable marketing campaigns. These abilities are crucial for effectively leveraging AI to optimize marketing outcomes and stay competitive in a rapidly evolving digital landscape.

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What cities are hiring for Artificial Intelligence Marketing jobs? Cities with the most Artificial Intelligence Marketing job openings:
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Infographic showing various Artificial Intelligence Marketing job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $47,471 per year, or $22.8 per hour.

Director, Enterprise Data & Artificial Intelligence

CRH Medical Corporation

Atlanta, GA • On-site

$160K/yr

Full-time

Posted 2 days ago

New


Job description

Description
POSITION SUMMARY
The Director, Enterprise Data & Artificial Intelligence serves as CRH Medical Corporation's strategic leader for enterprise data, business intelligence, analytics, and artificial intelligence. This role is responsible for developing and executing an enterprise-wide data strategy that transforms information into actionable insights, enables data-driven decision making, and leverages AI to improve operational efficiency, workforce productivity, and business performance across all CRH business segments.
The Director will establish a single source of truth for enterprise reporting, oversee data governance, develop predictive analytics, and identify opportunities to automate processes through responsible AI technologies. This position partners closely with Executive Leadership and functional leaders across HR, Finance, Operations, Recruiting, Credentialing, Provider Services, Marketing, Revenue Cycle, Compliance, and Information Technology. This role is instrumental in supporting CRH's continued growth by transforming enterprise data into a strategic business asset. Position reports directly to CFO.
MINIMUM JOB REQUIREMENTS
Education & Qualifications:
Education: Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, Engineering, or a related field. Master's degree preferred
Licensure & Certifications: N/A
Previous Experience: Eight (8) or more years of progressive experience in business intelligence, analytics, data management, or enterprise reporting. Five (5) or more years leading enterprise analytics initiatives. Experience implementing AI solutions and business intelligence platforms. Demonstrated success developing executive dashboards and enterprise reporting sourced from independent and diverse software systems.
Experience managing enterprise data governance initiatives. Healthcare industry experience highly preferred.
Skills: Exceptional analytical, strategic, and critical thinking skills with the ability to transform complex data into actionable business insights. Strong business, financial, and operational acumen with expertise in business intelligence, data governance, predictive analytics, and artificial intelligence. Proven ability to influence leaders, build collaborative relationships, and communicate complex information to technical and non-technical audiences. Demonstrated success managing multiple priorities, driving innovation, implementing data-driven solutions, and exercising sound judgment in a fast-paced, evolving environment.
Technical Skills: Advanced proficiency in Microsoft Power BI, Microsoft Fabric, SQL, Python, Azure Data Services, Microsoft Copilot, Power Automate, and Power Apps. Strong expertise in data warehousing, ETL (Extract, Transform, and Load) processes, enterprise reporting, dashboard development, data visualization, predictive analytics, and machine learning fundamentals. Advanced Microsoft Excel skills with the ability to integrate, analyze, and interpret complex datasets while developing scalable reporting solutions that support enterprise-wide decision-making and responsible AI initiatives.
Travel: Ability to travel throughout the U.S. and Canada
JOB SPECIFIC EXPECTATIONS
Enterprise Data Strategy
  • Develop and execute CRH's enterprise data and analytics strategy aligned with corporate objectives.
  • Establish enterprise data governance standards, policies, and best practices.
  • Ensure data quality, integrity, consistency, security, and accessibility across all business functions.
  • Develop enterprise data architecture supporting scalable business growth.

Business Intelligence & Analytics
  • Design and maintain executive dashboards and enterprise scorecards.
  • Develop standardized organizational KPIs and reporting metrics.
  • Build predictive and prescriptive analytics supporting strategic planning.
  • Deliver meaningful business insights through advanced analytics and visualization tools.
  • Identify operational trends, risks, and growth opportunities through enterprise data analysis.

Artificial Intelligence Leadership
  • Lead CRH's responsible adoption of Artificial Intelligence technologies.
  • Evaluate emerging AI solutions that improve operational effectiveness.
  • Identify automation opportunities across administrative, operational, and clinical support functions.
  • Develop AI governance standards and implementation guidelines.
  • Partner with department leaders to integrate AI into existing workflows while ensuring regulatory compliance.

Enterprise Reporting
  • Develop and maintain an integrated enterprise reporting environment that consolidates data across Human Resources, Finance, Revenue Cycle, Credentialing, Recruitment, Marketing, Compliance, CRH Clinical Operations, CRH Staffing, CRH GI Solutions and Executive Leadership.
  • Develop executive dashboards providing real-time organizational performance.
  • Automate recurring reports to improve efficiency and decision-making.

Technology & Systems Integration
  • Partner with our MSP to integrate enterprise systems and databases.
  • Assist with building, maintaining, and continuously improving bi-directional API systems for speed, reliability, and quality.
  • Develop scalable data models and reporting architecture.
  • Optimize business intelligence platforms and reporting tools.
  • Evaluate emerging analytics and AI technologies supporting organizational growth.

Leadership & Collaboration
  • Serve as the organization's enterprise analytics subject matter expert.
  • Provide ultimate ownership of enterprise data quality and data integrity.
  • Present data-driven recommendations to Executive Leadership/Divisional Leaders .
  • Educate leaders on analytics, AI capabilities, and data-informed decision making.
  • Foster a culture of innovation, continuous improvement, and data literacy across the organization.
  • Travel as needed.
  • Other duties as assigned.