Resolution Technologies, Inc.
AI Automation & Operations IT Leader
Resolution Technologies, Inc., Norcross, Georgia, United States
We are searching for an
AI Automation and Operations IT Leader
to spearhead the strategy, development, and integration of artificial intelligence and automation solutions across an organization's IT and business operations to drive efficiency and innovation. This leadership position requires a blend of technical expertise, strategic planning, and people management skills. AI Automation and Operations IT Leader Core Responsibilities
Strategic Planning & Vision:
Define and execute a strategic roadmap for AI and automation adoption, aligning initiatives with core business objectives to maximize value and ROI. AI/ML Solution Development & Deployment:
Oversee the design, development, and seamless integration of AI models, machine learning algorithms, and intelligent automation solutions into existing enterprise systems and workflows (e.g., RPA, GenAI, AIOps). IT Operations Optimization (AIOps):
Implement AI for IT operations (AIOps) to automate incident response, improve system reliability, optimize performance, and enhance security operations through predictive analytics and anomaly detection. Team Leadership & Mentorship:
Build, lead, and mentor cross-functional teams of AI engineers, data scientists, and automation specialists, fostering a culture of continuous learning and innovation. Governance & Compliance:
Establish and enforce governance frameworks and policies to ensure ethical AI use, data privacy, security, and compliance with relevant regulations (e.g., HIPAA, GDPR). Stakeholder Collaboration & Change Management:
Partner with senior leadership and various departments (e.g., Sales, Finance, HR) to identify high-impact automation opportunities, manage change, and ensure successful user adoption of new technologies. Vendor & Resource Management:
Evaluate, select, and manage relationships with external AI technology vendors and partners, ensuring cost-effective and scalable solutions. Performance Monitoring:
Define and track Key Performance Indicators (KPIs) to measure the success, efficiency gains, and ROI of AI and automation initiatives, providing data-driven recommendations for improvement. AI Automation and Operations IT Leader Key Skills & Qualifications
Education:
A Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field is typically required. Experience:
Extensive experience (typically 7-10+ years) in IT infrastructure, operations management, or technology-enabled business transformation, with proven experience in leading AI and automation projects. Technical Proficiency:
Deep understanding of AI/ML technologies, cloud platforms (AWS, Azure, GCP), programming languages (Python, SQL), and automation tools (RPA platforms like
UiPath
or Power Automate). Leadership:
Strong leadership, project management, and communication skills, with the ability to translate complex technical concepts into clear business strategies for non-technical stakeholders. Problem-Solving:
Excellent analytical and problem-solving skills, with a focus on data-driven decision-making and continuous improvement
AI Automation and Operations IT Leader
to spearhead the strategy, development, and integration of artificial intelligence and automation solutions across an organization's IT and business operations to drive efficiency and innovation. This leadership position requires a blend of technical expertise, strategic planning, and people management skills. AI Automation and Operations IT Leader Core Responsibilities
Strategic Planning & Vision:
Define and execute a strategic roadmap for AI and automation adoption, aligning initiatives with core business objectives to maximize value and ROI. AI/ML Solution Development & Deployment:
Oversee the design, development, and seamless integration of AI models, machine learning algorithms, and intelligent automation solutions into existing enterprise systems and workflows (e.g., RPA, GenAI, AIOps). IT Operations Optimization (AIOps):
Implement AI for IT operations (AIOps) to automate incident response, improve system reliability, optimize performance, and enhance security operations through predictive analytics and anomaly detection. Team Leadership & Mentorship:
Build, lead, and mentor cross-functional teams of AI engineers, data scientists, and automation specialists, fostering a culture of continuous learning and innovation. Governance & Compliance:
Establish and enforce governance frameworks and policies to ensure ethical AI use, data privacy, security, and compliance with relevant regulations (e.g., HIPAA, GDPR). Stakeholder Collaboration & Change Management:
Partner with senior leadership and various departments (e.g., Sales, Finance, HR) to identify high-impact automation opportunities, manage change, and ensure successful user adoption of new technologies. Vendor & Resource Management:
Evaluate, select, and manage relationships with external AI technology vendors and partners, ensuring cost-effective and scalable solutions. Performance Monitoring:
Define and track Key Performance Indicators (KPIs) to measure the success, efficiency gains, and ROI of AI and automation initiatives, providing data-driven recommendations for improvement. AI Automation and Operations IT Leader Key Skills & Qualifications
Education:
A Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field is typically required. Experience:
Extensive experience (typically 7-10+ years) in IT infrastructure, operations management, or technology-enabled business transformation, with proven experience in leading AI and automation projects. Technical Proficiency:
Deep understanding of AI/ML technologies, cloud platforms (AWS, Azure, GCP), programming languages (Python, SQL), and automation tools (RPA platforms like
UiPath
or Power Automate). Leadership:
Strong leadership, project management, and communication skills, with the ability to translate complex technical concepts into clear business strategies for non-technical stakeholders. Problem-Solving:
Excellent analytical and problem-solving skills, with a focus on data-driven decision-making and continuous improvement