Intelligent Automation & AI Solutions Manager
Key Skills for This Role
Full Job Posting
Duties and Responsibilities:
- Strategic Partnership & Delivery – Collaborates directly with enterprise stakeholders to analyze operational workflows, capture requirements, and direct the end-to-end lifecycle, from design and build through deployment and ongoing refinement of enterprise automation initiatives.
- Technical SME & Solution Scope – Serves as the primary technical subject matter expert for the Automation & AI practice, modernizing business operations via workflow orchestration, robotic process automation (RPA), low-code tools, modern APIs, system integrations, intelligent document processing (IDP), and enterprise-approved AI platforms.
- Full Lifecycle & Governance – Directs solution architecture, system configuration, software development, quality assurance, release management, operational support, and user adoption, ensuring strict adherence to cybersecurity, data privacy, and compliance standards.
Qualifications:
- 8+ years of progressive experience across workflow automation, software engineering, intelligent automation, AI solutions delivery, or related technical domains.
- Proven track record architecting, building, deploying, and maintaining production-grade automation ecosystems.
- Demonstrated experience guiding cross-functional teams and providing technical direction on enterprise programs.
- Practical proficiency with modern generative and agentic platforms (such as Google Gemini / Vertex AI, Microsoft Copilot Studio, or adjacent LLM orchestration frameworks) alongside enterprise automation suites (such as Microsoft Power Platform, UiPath, Automation Anywhere, Blue Prism, etc.).
- Working expertise with REST APIs, system integrations, SQL, scripting languages, webhooks, prompt engineering, Retrieval-Augmented Generation (RAG), vector search paradigms, and Identity & Access Management (IAM) security frameworks.
- Strong background in business process assessment, requirements gathering, and quantifiable value realization.
- Education:
- Required:
- Leadership experience
- Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, Business, Operations, or a related discipline (or equivalent practical experience/training).
- Preferred:
- Industry certifications in enterprise automation tools, cloud ecosystems, AI applications, software architecture, Lean/Six Sigma/process improvement, project delivery, or enterprise architecture.
- Specialized Skills:
- Ability to lead automation initiatives from discovery through deployment and continuous improvement.
- Strong business process analysis and process improvement skills.
- Ability to communicate technical concepts and solution tradeoffs to technical and non-technical audiences.
- Strong problem-solving, prioritization, documentation, and project delivery skills.
- Knowledge of secure development practices, access controls, data protection, change management, and operational resiliency.
- Understanding of responsible AI principles, governance, monitoring, and human oversight.
- Ability to operate effectively in a fast-growing and evolving environment.
- Demonstrated ownership, accountability, and adaptability.
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