About the Role
Accenture is on a mission to revolutionize managed services through intelligent automation and operational excellence. As an Automation Lead, you will play a pivotal role in defining automation strategies, building and leading a high-performing team, and delivering impactful solutions for clients. This role combines management, engineering, and innovation to drive efficiency, scalability, and measurable client value.
Key Responsibilities
- Develop and implement the automation strategy for managed services operations.
- Design and oversee scalable automation platforms to enhance service delivery.
- Identify and prioritize high-impact automation opportunities for clients and internal operations.
- Lead and mentor a team of automation engineers, fostering a culture of technical excellence.
- Establish technical standards for quality, performance, and security in automation solutions.
- Integrate observability, monitoring, and AI-driven enhancements into managed services.
- Collaborate with delivery and client teams to ensure seamless and impactful automation deployments.
- Stay updated on emerging trends in automation and AI technologies to drive innovation.
- Provide training and support to team members on automation tools and methodologies.
- Experience:
- 5+ years of experience in automation or related fields, with a focus on delivering solutions for managed service operations (e.g., infrastructure operations, incident handling, operational efficiency improvements).
- 2+ years of experience in technical management, including mentoring team members and guiding best practices.
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Technical Expertise:
- Proficiency in scripting languages such as Python, PowerShell, and Bash for automation operations management.
- Solid understanding of microservices architecture and cloud platforms (AWS, Azure, or GCP).
- Experience automating cloud operations and implementing workflow orchestration tools (e.g., n8n) and configuration management tools (e.g., Ansible).
- Familiarity with security best practices and observability platforms like Splunk.
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Leadership and Collaboration:
- Proven track record of delivering automation solutions that drive measurable client ROI.
- Operational experience with direct client engagement, including solution design and delivery.
- Agile leadership mindset with a collaborative and continuous-improvement approach.
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Additional Skills:
- Knowledge of AI concepts such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI is a plus.
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