Anup Upadhyay
Intelligent Automation Delivery Lead @Accenture
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WORK HISTORY
Intelligent Automation Delivery Lead @Accenture
NJ, US
As an Intelligent Automation Delivery Lead I am accountable for defining, governing, and successfully executing enterprise-wide automation initiatives that drive measurable business value. This role ensures alignment between automation strategy, business priorities, technical architecture, and enterprise governance standards.I oversees the Automation Delivery Factory, ensuring scalable, secure, and high-quality implementation of RPA, AI, and Intelligent Automation solutions across the organization. I serve as the executive escalation point, ensuring timely risk mitigation, issue resolution, and delivery continuity.Strategic AccountabilityDrive enterprise automation vision aligned with digital transformation objectives.Prioritize high-impact use cases based on ROI, feasibility, and operational value.Ensure measurable value realization (cost savings, FTE optimization, SLA improvement, risk reduction).Delivery & Governance OwnershipOversee end-to-end automation lifecycle (Discovery → Design → Build → UAT → Deploy → Support).Ensure adherence to enterprise standards (architecture, security, compliance, documentation).Govern Agile / Kanban delivery models and operational excellence frameworks.Facilitate UAT sign-off and production release governance.
EDUCATION
Alok Sr. Sec. School
Rajasthan Board Senior Secondary, Science - Mathematics
SBCET
Master of Computer Applications (MCA), Computer Science
Aishwarya College of Education
BCA, Computer Application
SKILLS
ABOUT ANUP UPADHYAY
With 20+ years in IT, QA and digital transformation, I bring a future-ready approach to setting up GCCs and scaling automation where AI, LLMs, and cloud-native technologies converge to redefine enterprise operations.As a Leader of an Intelligent Automation, I drive the strategic vision and execution of enterprise-wide automation initiatives—building secure, scalable, and intelligent ecosystems that accelerate digital transformation and deliver measurable value.I specialize in leveraging RPA, Agents, AI/ML, LLMs, GenAI, cloud-native automation (AWS, Azure, GCP), and Python-powered micro-automation. My expertise spans prompt engineering, GenAI copilots, multimodal AI, edge AI, and agentic AI, enabling enterprises to build autonomous workflows, improve decision-making, and reduce operational costs.Over my career, I have also built 12 years of strong Quality Assurance leadership experience—leading teams as QA Head, QA Automation Architect, and Test Manager, while driving testing excellence across functional, automation, and performance streams. My QA journey spans designing enterprise-wide test strategies, building automation frameworks using tools like UFT, Test Complete, Tosca, Selenium, Appium, Cypress, and integrating DevOps/CI-CD pipelines with testing at scale.By combining event-driven architectures (AWS Lambda, Step Functions) with enterprise RPA platforms (UiPath, Automation Anywhere, Blue Prism, Elementum), I create intelligent pipelines that seamlessly integrate LLM APIs, copilots, and autonomous agents into business processes. Key Impact Areas- Strategic Leadership: Define and deliver automation roadmaps across global enterprises- Generative AI & LLMs: Deploy ChatGPT, Claude, Gemini, Bedrock, and Anthropic for intelligent workflows- Quality Assurance & Testing: Head QA programs, architect test automation frameworks, and ensure regulatory compliance while embedding QA in DevOps pipelines- Cloud & Serverless: Build Python- and Lambda-based event-driven automation- Innovation Delivery: Architect next-gen pipelines powered by agentic AI and copilots- Thought Leadership: Shape industry adoption of GenAI, publishing best practices and speaking at forums.
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