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Artificial Intelligence Finance Jobs (NOW HIRING)

Amrize

Director of Artificial Intelligence

Portland, OR · On-site

$170K - $220K/yr

Partners with support functions on decision support, such as Finance to improve forecasting ... A master's degree in Artificial Intelligence, Data Science, Analytics, Engineering, Business ...

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How much do artificial intelligence finance jobs pay per year?

As of Aug 22, 2026, the average yearly pay for artificial intelligence finance in the United States is $127,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $148,500.00 per year, depending on experience, location, and employer.

What is an artificial intelligence finance?

An Artificial Intelligence Finance job involves using AI technologies, such as machine learning and data analytics, to improve financial processes, risk management, trading strategies, and customer experiences. Professionals in this field develop and implement AI models to analyze market trends, detect fraud, automate decision-making, and optimize financial operations. They work in roles such as AI financial analyst, quantitative researcher, or fintech AI specialist, often collaborating with data scientists and financial experts.

What are the typical daily responsibilities of an artificial intelligence finance professional?

Professionals in Artificial Intelligence Finance typically analyze large financial data sets, develop and refine predictive models, and implement AI algorithms to support investment decisions and risk management. They often collaborate with data scientists, software engineers, and finance teams to integrate AI solutions into business operations. Regular tasks may include back-testing trading strategies, automating reporting processes, and monitoring the performance of AI-driven financial tools. This role is both technically demanding and collaborative, with opportunities to directly impact an organization's profitability and efficiency through innovative technology.

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

To thrive in Artificial Intelligence Finance, you need a strong background in data analytics, machine learning, finance, and quantitative modeling, often supported by a degree in computer science, finance, mathematics, or a related field. Proficiency in programming languages such as Python or R, experience with financial modeling software, and familiarity with AI frameworks like TensorFlow or PyTorch are highly beneficial. Excellent problem-solving skills, attention to detail, and effective communication help professionals collaborate across technical and non-technical teams. These skills are crucial for designing AI-driven financial solutions that optimize business performance and manage financial risk effectively.

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Artificial Intelligence Finance jobs near you
Infographic showing various Artificial Intelligence Finance job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 72% In-person, 17% Hybrid, and 11% Remote job distribution, with an average salary of $127,566 per year, or $61.3 per hour.

Director, Enterprise Data & Artificial Intelligence

CRH Medical Corporation

Atlanta, GA • On-site

$160K/yr

Full-time

Posted 14 days ago

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.

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