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Manager, Enterprise Automation

Job in Sandy Springs, Fulton County, Georgia, USA
Listing for: NextGen Healthcare
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Manager, Enterprise Intelligent Automation

Job Description

The Manager of Enterprise Intelligent Automation will lead Enterprise Intelligent Automation (EIA) capability responsible for designing, implementing, and scaling AI-enabled automation solutions across the organization. This role oversees the development of automation strategies, governance, and delivery of intelligent solutions that improve operational efficiency, reduce manual processes, and enable data-driven decision-making. The Manager partners closely with business and technology leaders to identify automation opportunities and deliver scalable solutions using modern AI and automation platforms.

Responsibilities
  • Lead the Enterprise Intelligent Automation team responsible for strategizing, designing, developing, and supporting AI-enabled automation solutions across enterprise business functions, supporting internal operations and back-office processes.
  • Define and execute the enterprise intelligent automation strategy to support internal business operations, including adoption of generative AI, robotic process automation (RPA), workflow automation, and decision automation platforms.
  • Identify high-value automation opportunities across business processes and prioritize initiatives based on business impact, scalability, and return on investment.
  • Design and oversee the development of intelligent automation solutions leveraging technologies such as OpenAI, Claude, Decision Process Maker platforms, UiPath, Python, and Microsoft Power Automate.
  • Establish automation architecture, standards, and governance frameworks to ensure secure, scalable, and sustainable automation solutions.
  • Lead the end-to-end automation lifecycle, including opportunity assessment, solution design, development, deployment, monitoring, and continuous optimization.
  • Collaborate with business stakeholders, IT teams, and enterprise architects to integrate automation capabilities into enterprise platforms and operational workflows.
  • Implement AI-enabled solutions, including intelligent agents, generative AI workflows, process automation, and decision-support systems.
  • Collaborate with the Information Security team to develop and maintain governance for automation platforms, including security standards, compliance, usage policies, and best practices.
  • Develop and maintain automation pipelines, reusable components, and automation frameworks to accelerate delivery.
  • Monitor automation performance and develop metrics to track operational improvements such as cycle time reduction, error reduction, and productivity gains.
  • Build and lead a high-performing automation team including automation engineers, solution developers, and analysts.
  • Drive organizational adoption and culture around intelligent automation through training, enablement, and collaboration, promoting AI innovation and learning across the organization, including partnership with employee resource groups.
  • Maintain awareness of emerging AI and automation technologies and evaluate new capabilities that enhance enterprise automation strategy.
  • Perform other duties that support the overall objective of the position.
Education Required
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
  • Or, any combination of education and experience which would provide the required qualifications for the position.
Experience Required
  • 7+ years of experience in information technology, software development, automation engineering, or enterprise application environments.
  • 4+ years of experience leading automation, AI, or digital transformation initiatives.
  • Hands‑on experience implementing intelligent automation solutions using platforms such as UiPath, Power Automate, Python, or similar automation technologies.
  • Experience deploying generative AI or AI‑enabled solutions in enterprise environments preferred.
Knowledge, Skills & Abilities
  • Knowledge of:
    Intelligent automation platforms including RPA, workflow automation, and AI‑enabled decision systems. Generative AI technologies and large language models (LLMs), including OpenAI / ChatGPT, Claude, and Anthropic. Process automation tools including UiPath and Microsoft Power Automate. Software development and…
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