Automation & AI Enablement
o Design AI-assisted use cases such as document recognition, classification, validation, chatbot flows, and intelligent routing.
o Work closely with AI Specialists to ensure feasibility, explainability, accuracy, and responsible AI usage in solution designs.
o Ensure solutions align with enterprise automation standards, reusable components, and platform best practices.
Delivery Enablement & Governance
o Produce clear, complete, and build-ready design artifacts (solution blueprints, flow diagrams, user stories, acceptance criteria).
o Serve as the single point of accountability for solution design quality across automation initiatives.
o Support Automation Developers, Integration Engineers, QA, and UAT teams by clarifying design intent and resolving design-related issues.
o Participate in design reviews to ensure alignment with compliance, risk, and audit requirements.
Stakeholder & Cross-Functional Collaboration
o Partner with Business Analysts, Process Engineers, and CI Leads to ensure designs reflect optimized and automation-ready processes.
o Collaborate with IT, Architecture, Data Governance, and Security teams to validate technical and data compliance.
o Act as a translator between business stakeholders and technical delivery teams, ensuring shared understanding and execution clarity.
Continuous Improvement
o Standardize solution design templates, patterns, and documentation practices across the Automation & AI COE.
o Identify opportunities to reuse components and improve design efficiency across initiatives.
o Incorporate lessons learned from QA, UAT, and production issues into improved future designs.
KPIs
o % of automation initiatives delivered first-time-right with minimal rework
o Reduction in design-related defects identified during QA and UAT
o % of business requirements successfully translated into build-ready solution designs
o Delivery cycle time improvement due to clear and standardized solution designs
o Adoption rate of standardized design templates and patterns