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Contractual Artificial Intelligence Machine Learning Jobs in Connecticut

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Contractual Artificial Intelligence Machine Learning information

What is the difference between Contractual Artificial Intelligence Machine Learning vs Data Scientist?

AspectContractual Artificial Intelligence Machine LearningData Scientist
CredentialsRelevant degrees in CS, AI, ML; certifications in AI/ML toolsDegrees in CS, Statistics, Data Science; certifications in data analysis
Work EnvironmentProject-based, contractual roles often with tech firms or consultanciesFull-time or contract roles in various industries, including tech, finance, healthcare
Industry UsagePrimarily in AI/ML development projects, automation, and software firmsData analysis, modeling, and insights across multiple sectors

Contractual Artificial Intelligence Machine Learning specialists focus on developing AI and ML models on a contractual basis, often within tech or consulting firms. Data Scientists analyze data to generate insights, working across industries. While both roles require technical skills, AI/ML roles emphasize model development, whereas Data Scientists focus on data analysis and interpretation.

Is machine learning a high paying job?

Machine learning roles, including those in artificial intelligence, are generally considered high-paying jobs due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but professionals with expertise in machine learning often earn above average wages compared to other tech roles.

What jobs can I get with artificial intelligence and machine learning?

With expertise in artificial intelligence and machine learning, you can pursue roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are popular job titles related to Contractual Artificial Intelligence Machine Learning jobs in Connecticut?

For Contractual Artificial Intelligence Machine Learning jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Contractual Artificial Intelligence Machine Learning jobs in Connecticut look for?

The top searched job categories for Contractual Artificial Intelligence Machine Learning jobs in Connecticut are:

What cities in Connecticut are hiring for Contractual Artificial Intelligence Machine Learning jobs?

Cities in Connecticut with the most Contractual Artificial Intelligence Machine Learning job openings:

Contractual Artificial Intelligence Machine Learning jobs near you
Infographic showing various Contractual Artificial Intelligence Machine Learning job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Director, Enterprise Intelligence and Decision Support

Jobtailor

Hartford, CT • On-site

$140 - $190/hr

Other

Posted yesterday

New

Job description

  • Establish and lead an enterprise Business Intelligence and Decision Support program
  • Direct Business Intelligence Analysts and translate organizational priorities into dashboards, scorecards, performance measures, and decision support solutions
  • Align Business Intelligence resources through intake, prioritization, and governance processes
  • Define key performance indicators, performance targets, and enterprise metrics with organizational leaders
  • Support improvements in quality, patient safety, operational efficiency, financial performance, and regulatory compliance
  • Establish standards for dashboards, scorecards, reports, data visualizations, standardized metrics, and a single source of truth
  • Promote standardized reporting, self-service business intelligence, and data literacy
  • Lead enterprise education, training, and adoption initiatives
  • Provide executive leadership for enterprise data engineering, the Enterprise Data Warehouse, data integration platforms, Epic Cogito, and enterprise data architecture
  • Develop and execute enterprise data strategy and oversee data warehouse design, implementation, optimization, and lifecycle management
  • Direct ETL/ELT, APIs, interoperability solutions, data pipelines, and Epic/non-Epic data integration
  • Govern enterprise data assets and Epic reporting content, including metric definitions, metadata, master data, lifecycle management, and change control
  • Ensure data quality, integrity, consistency, availability, timeliness, privacy, and security
  • Modernize enterprise data platforms using automation, artificial intelligence, machine learning, and advanced analytics
  • Develop the enterprise vision, strategy, business case, governance framework, operating model, architecture, staffing model, and budget
  • Advise senior leadership and partner with clinical, operational, financial, quality, research, and Information Solutions teams
  • Establish enterprise performance management and data governance frameworks
  • Recommend strategic investments and operational improvements using benchmarking, forecasting, and performance analysis
  • Lead organizational coaching, mentoring, succession planning, employee engagement, professional development, goals, service levels, and continuous improvement
  • Perform other duties as assigned
Requirements
  • BA or BS in Computer Science, MIS, Business, or another related field
  • Minimum of 8–10 years working in data warehousing and Business Intelligence, preferably in a healthcare environment
  • Demonstrated experience in continuous process improvement
  • Demonstrated experience as an internal consultant to management and staff
  • Knowledge of business intelligence, data engineering, and enterprise data management principles and practices
  • Knowledge of healthcare clinical, operational, financial, and regulatory environments
  • Knowledge of data governance, data stewardship, standardization, and data quality management
  • Knowledge of enterprise data warehousing, data integration, and ETL/ELT methodologies
  • Knowledge of Epic Cogito reporting ecosystem or comparable EHR-based reporting and analytics platforms
  • Knowledge of healthcare data privacy and security regulations, including HIPAA
  • Knowledge of emerging analytics technologies, automation, artificial intelligence, and machine learning
  • Strong project management, organizational, presentation, facilitation, problem-solving, conflict-resolution, communication, and interpersonal skills
  • Ability to perform complex analytics, identify trends, interpret data, and drive business recommendations
  • Ability to work with all organizational levels and external affiliated business partners
  • Six Sigma certification preferred
Core Competencies

Demonstrates expertise in leading Business Intelligence initiatives, data governance, and enterprise data management within healthcare environments. Proficient in developing data strategies, ensuring data quality, and leveraging advanced analytics technologies to drive operational improvements.

Highest-signal resume keywords
  • Business Intelligence Leadership
  • Data Governance Frameworks
  • ETL/ELT Methodologies
  • Epic Cogito Reporting
  • Healthcare Data Privacy
Hard Skills
  • Data Warehousing
  • Data Integration
  • Performance Analysis
  • Data Quality Management
  • Continuous Process Improvement
  • Advanced Analytics
  • Machine Learning
  • Automation
  • Data Visualization
  • Key Performance Indicators
Soft Skills
  • Project Management
  • Communication
  • Problem-Solving
  • Interpersonal Skills
  • Facilitation
Certifications & Qualifications
  • Six Sigma Certification
Industry Keywords
  • Healthcare Environment
  • Regulatory Compliance
  • Data Stewardship
  • Data Literacy
  • Operational Efficiency
Tools & Technologies
  • Epic Cogito
  • Data Integration Platforms
  • Enterprise Data Warehouse
  • Data Pipelines
  • APIs
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