•Technical Standards & Reusable Patterns: Define and enforce coding standards, reusable components, and design patterns across the automation estate.
•Architecture, Development, AI & QA Integration: Align solution architecture, development, AI capabilities, and QA into one integrated delivery lifecycle.
•Technical Risk & Debt: Identify, track, and remediate technical risk and technical debt before it impacts production.
•Run Management: Architecture, development, AI and QA teams on technical standards, reusable patterns and release readiness (RPA, and AI Agents).
•Incident & Problem Resolution:Business units, Security and IT Operations on engineering capacity, technical risk, debt and production run performance
•SLA & Performance Tracking: Define, monitor, and report on key operational metrics (e.g., bot utilization, success rates, ROI, business hours saved, and system downtime) using dashboards (e.g., Power BI, UiPath Orchestrator & Insights).
•Disaster Recovery & Business Continuity: Define and maintain DR plans for critical automation processes to ensure continuous business operations.
•Licensing, Cost & Resource Optimization: Optimize platform licensing (UiPath), infrastructure costs (VMs, API calls, LLM token usage), and cost efficiency and performance of AWS-hosted VMs.
•Credential & Secret Management: Ensure secure handling of business credentials, API keys, and service accounts using tools like Azure Key Vault.
•Engineering Capacity & Capability: Build, size, and develop the engineering team, managing skills, capacity planning, and workload allocation.
•Release Integrity: Safeguard release quality through controlled deployments, environment governance, and CI/CD gates.