What are the responsibilities and job description for the Intelligent Automation Lead position at Zenius Corporation?
Position Description Intelligent Automation Lead
Program: AI Technologies & Intelligent Automation Solutions for Government Client: Henrico County, VA / GovMVMT Cooperative Program
Position Summary
The Intelligent Automation Lead is responsible for leading the design, implementation, governance, and continuous improvement of intelligent automation and AI-enabled business process transformation initiatives. The role provides strategic and technical leadership for workflow modernization, low-code/no-code platforms, robotic process automation (RPA), AI-assisted decision support, document intelligence, and agentic AI solutions across public sector organizations.
Key Responsibilities
Lead enterprise intelligent automation strategy, roadmap development, and implementation planning; manage automation delivery teams; oversee process discovery, business analysis, solution architecture, development, testing, deployment, and operations; establish automation governance, standards, security controls, and performance metrics; collaborate with executive stakeholders to identify high-value use cases; support AI governance, human-in-the-loop controls, compliance, accessibility, and risk management; oversee integration with ERP, CRM, ITSM, document management, and data platforms; mentor technical and functional teams; and support proposal, pricing, and business development activities.
Required Qualifications
Bachelor's degree in Information Technology, Computer Science, Engineering, Business, or related field. Minimum 10 years of experience leading digital transformation, workflow modernization, business process automation, or enterprise application initiatives. Minimum 5 years leading intelligent automation, RPA, low-code/no-code, AI, or workflow modernization programs. Demonstrated experience managing cross-functional delivery teams and stakeholder engagement in government or regulated environments.
Preferred Qualifications
Master's degree preferred. Experience supporting federal, state, or local government agencies. Experience with AI governance frameworks, NIST AI RMF, FedRAMP, CJIS, HIPAA, accessibility compliance, and secure AI adoption. Relevant certifications such as PMP, PMI-ACP, SAFe, UiPath, Microsoft Power Platform, Appian, Mendix, Databricks, AWS, Azure, or related certifications.
Technical Skills
Workflow automation; business process management (BPM); low-code/no-code platforms; RPA; intelligent document processing; AI assistants and copilots; agentic AI; process
mining; enterprise integration; cloud platforms; API management; data analytics; change management; Agile delivery; DevSecOps; governance and compliance.
Desired Experience
Experience implementing intelligent automation solutions using platforms such as Microsoft Power Platform, UiPath, Appian, Mendix, ServiceNow, Databricks, Azure AI, AWS AI services, or equivalent technologies. Experience establishing enterprise automation centers of excellence and delivering measurable operational improvements.
Key Deliverables
Automation strategy and roadmap; governance framework; solution architectures; implementation plans; automation use-case portfolio; KPI dashboards; risk assessments; stakeholder communications; training and adoption plans; operational transition documentation; and performance reports.
Reporting Structure
Reports to the Program Manager or Engagement Director and provides leadership to automation architects, developers, business analysts, AI specialists, and implementation teams.
Program: AI Technologies & Intelligent Automation Solutions for Government Client: Henrico County, VA / GovMVMT Cooperative Program
Position Summary
The Intelligent Automation Lead is responsible for leading the design, implementation, governance, and continuous improvement of intelligent automation and AI-enabled business process transformation initiatives. The role provides strategic and technical leadership for workflow modernization, low-code/no-code platforms, robotic process automation (RPA), AI-assisted decision support, document intelligence, and agentic AI solutions across public sector organizations.
Key Responsibilities
Lead enterprise intelligent automation strategy, roadmap development, and implementation planning; manage automation delivery teams; oversee process discovery, business analysis, solution architecture, development, testing, deployment, and operations; establish automation governance, standards, security controls, and performance metrics; collaborate with executive stakeholders to identify high-value use cases; support AI governance, human-in-the-loop controls, compliance, accessibility, and risk management; oversee integration with ERP, CRM, ITSM, document management, and data platforms; mentor technical and functional teams; and support proposal, pricing, and business development activities.
Required Qualifications
Bachelor's degree in Information Technology, Computer Science, Engineering, Business, or related field. Minimum 10 years of experience leading digital transformation, workflow modernization, business process automation, or enterprise application initiatives. Minimum 5 years leading intelligent automation, RPA, low-code/no-code, AI, or workflow modernization programs. Demonstrated experience managing cross-functional delivery teams and stakeholder engagement in government or regulated environments.
Preferred Qualifications
Master's degree preferred. Experience supporting federal, state, or local government agencies. Experience with AI governance frameworks, NIST AI RMF, FedRAMP, CJIS, HIPAA, accessibility compliance, and secure AI adoption. Relevant certifications such as PMP, PMI-ACP, SAFe, UiPath, Microsoft Power Platform, Appian, Mendix, Databricks, AWS, Azure, or related certifications.
Technical Skills
Workflow automation; business process management (BPM); low-code/no-code platforms; RPA; intelligent document processing; AI assistants and copilots; agentic AI; process
mining; enterprise integration; cloud platforms; API management; data analytics; change management; Agile delivery; DevSecOps; governance and compliance.
Desired Experience
Experience implementing intelligent automation solutions using platforms such as Microsoft Power Platform, UiPath, Appian, Mendix, ServiceNow, Databricks, Azure AI, AWS AI services, or equivalent technologies. Experience establishing enterprise automation centers of excellence and delivering measurable operational improvements.
Key Deliverables
Automation strategy and roadmap; governance framework; solution architectures; implementation plans; automation use-case portfolio; KPI dashboards; risk assessments; stakeholder communications; training and adoption plans; operational transition documentation; and performance reports.
Reporting Structure
Reports to the Program Manager or Engagement Director and provides leadership to automation architects, developers, business analysts, AI specialists, and implementation teams.