Summary:
The Manager, Intelligent Automation & AI Solutions is a hands-on technical leader who drives the discovery, architecture, and implementation of scalable automation and AI-powered workflow systems to elevate operational performance, service quality, and stakeholder experiences. The ideal candidate combines automation engineering expertise, business process improvement skills, strong delivery execution, and the ability to communicate effectively with both operational and executive stakeholders.
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.
Skills Required
- 8+ years of progressive experience in workflow automation, software engineering, intelligent automation, AI solutions delivery, or related technical domains
- Experience architecting, building, deploying, and maintaining production-grade automation ecosystems
- Experience guiding cross-functional teams and providing technical direction on enterprise programs
- Proficiency with generative and agentic AI platforms, such as Google Gemini, Vertex AI, or Microsoft Copilot Studio
- Experience with enterprise automation suites, such as Microsoft Power Platform, UiPath, Automation Anywhere, or Blue Prism
- Expertise with REST APIs, system integrations, SQL, scripting languages, webhooks, prompt engineering, RAG, vector search, and IAM security frameworks
- Background in business process assessment, requirements gathering, and quantifiable value realization
- Leadership experience
- Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, Business, Operations, or a related discipline, or equivalent practical experience or training
- Industry certifications in automation tools, cloud ecosystems, AI applications, software architecture, process improvement, project delivery, or enterprise architecture
ADT Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ADT and has not been reviewed or approved by ADT.
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Retirement Support — A 401(k) with a per‑paycheck company match and the possibility of an additional year‑end contribution is positioned as competitive. Feedback suggests this is a reliable anchor of total compensation value.
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Parental & Family Support — Paid parental leave, adoption/infertility support, and childcare discounts are highlighted as part of the package. Feedback suggests these offerings add meaningful non‑cash value across different employee groups.
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Wellbeing & Lifestyle Benefits — Core medical/dental/vision coverage is paired with an EAP, wellbeing programs, and employee discounts, with noted emphasis on mental‑health initiatives. Eligibility beginning the first of the month after 31 days in many roles reinforces accessibility and day‑to‑day usefulness.
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