Senior Technical Business Analyst - Intelligent Automation, RPA and AI

NTT DATA Global Delivery Services Ltd; Bengaluru; On-site; INR 2,600,000 - 4,200,000; Full time

Job summary

NTT DATA Global Delivery Services Ltd in Bengaluru seeks a Senior Technical Business Analyst – Intelligent Automation, RPA & AI to act as a strategic liaison among business stakeholders, automation engineers, architects, and AI teams to design scalable automation solutions across the enterprise.

It blends business process knowledge with technical delivery to lead automation discovery and end-to-end intelligent automation initiatives.

Qualifications

• Bachelor’s degree in business/IS/CS/engineering/data science or related field.
• 8+ years of experience in enterprise-scale transformation or technology initiatives.
• 5+ years as a Business Analyst or Technical Business Analyst; 5+ years delivering automation and AI solutions.
• 3+ years leading enterprise automation and AI implementations.
• Strong understanding of enterprise architecture and integrations.
• 3+ years hands-on experience with RPA tools (UiPath, Automation Anywhere, or Blue Prism).
• Experience with Process Mining, OCR/IDP, APIs, workflow automation, ML and Generative AI/OpenAI technologies.
• Knowledge of RAG, embeddings, vector databases, and conversational AI frameworks.
• Excellent analytical, problem-solving and communication skills.
• Experience in regulated industries preferred.

Responsibilities

• Partner with stakeholders and SMEs to identify automation and AI opportunities.
• Lead discovery workshops and assess current-state processes for inefficiencies and improvements.
• Gather, analyze, prioritize, and validate requirements and translate into scalable automation designs.
• Develop Process Design Documents (PDDs), workflows, and technical documentation.
• Drive process optimization and enterprise-wide standardization initiatives.
• Coordinate cross-functional teams across business, technology, and vendors; manage timelines and risks.

Skills

RPA tools

Process Mining

OCR/IDP

APIs

Machine Learning

Generative AI

OpenAI

GxP compliance

Stakeholder management

Communication skills

Education

Bachelor’s degree in Business/Information Systems/CS/Engineering/Data Science

Tools

UiPath

Automation Anywhere

Blue Prism

Power BI

Python

SQL

BPMN

LangChain

Azure OpenAI

Job description

Senior Technical Business Analyst – Intelligent Automation, RPA & AI

Req ID: 374362

Position Summary

This role serves as a strategic liaison between business stakeholders, automation engineers, architects, and AI development teams to design and deliver scalable automation and AI solutions across the enterprise. It requires a blend of technical expertise, business process knowledge and program delivery experience to lead automation discovery, optimize complex processes and support implementation of end‑to‑end intelligent automation solutions leveraging RPA, Machine Learning, Generative AI, Process Mining, Intelligent Document Processing, APIs, and enterprise integrations.

Key Responsibilities

• Partner with stakeholders and SMEs to identify automation and AI transformation opportunities.
• Lead discovery workshops and assess current‑state processes, identifying inefficiencies and improvement opportunities.
• Gather, analyze, prioritize, and validate business, functional, and technical requirements and translate them into scalable automation and AI solution designs.
• Develop Process Design Documents (PDDs), workflows, and technical documentation.
• Drive process optimization and enterprise‑wide standardization initiatives.

Technical Architecture & Solution Design

• Collaborate with architects, developers, and infrastructure teams to design secure and scalable solutions.
• Understand end‑to‑end automation architecture, including RPA APIs and integrations, OCR/IDP platforms, Conversational AI, Machine Learning and Generative AI.
• Evaluate feasibility, dependencies, and scalability of proposed solutions, support architecture governance and ensure compliance with enterprise standards.
• Recommend reusable automation frameworks and patterns, and work across ERP, CRM, cloud, middleware, and analytics platforms.

Intelligent Automation & AI Strategy

• Identify opportunities to leverage RPA, ML, and Generative AI to drive business outcomes.
• Support AI initiatives such as GPT/OpenAI implementations, AI agents and orchestration workflows, Retrieval‑Augmented Generation (RAG), intelligent document processing and knowledge automation.
• Collaborate on prompt engineering strategies and human‑in‑the‑loop models, evaluate AI use cases for scalability, compliance and ROI, and stay current on emerging technologies.

Program & Technical Project Management

• Lead automation and AI initiatives from intake to deployment and operational transition.
• Coordinate cross‑functional teams across business, technology, and vendors, manage delivery timelines, risks, dependencies and escalations.
• Facilitate workshops to drive alignment and decision‑making, support Agile/Scrum ceremonies and provide status reporting and executive‑level communication.

Required Qualifications

• Bachelor’s degree in Business, Information Systems, Computer Science, Engineering, Data Science or related field.
• 8+ years of experience in enterprise‑scale transformation or technology initiatives.
• 5+ years as a Business Analyst or Technical Business Analyst, 5+ years delivering automation and AI solutions, 3+ years leading enterprise automation and AI implementations.
• Strong understanding of enterprise architecture and integrations.
• 3+ years hands‑on experience with RPA tools (UiPath, Automation Anywhere, or Blue Prism).
• Experience with Process Mining, OCR/IDP, APIs, workflow automation, Machine Learning concepts, and Generative AI/OpenAI technologies.
• Knowledge of RAG, embeddings, vector databases, and conversational AI frameworks.
• Excellent analytical, problem‑solving and communication skills.
• Experience in regulated industries (life sciences, healthcare, manufacturing, financial services) preferred.

Preferred Technical Skills

• UiPath AI Center, Power Platform / Power Automate, Azure AI Services & Azure OpenAI, Python, SQL, Power BI, BPMN, LangChain or similar frameworks.
• DevOps & CI/CD, Agile/Scrum methodologies, Jira, Azure DevOps.
• Knowledge of GxP validation and compliance (highly preferred).

Preferred Competencies

• Strong systems‑thinking and strategic mindset.
• Ability to bridge business objectives with technical execution, comfortable working in ambiguity and complex environments.
• Strong stakeholder management and executive communication skills.
• Ability to prioritize and manage competing demands, proactively identify and mitigate risks.
• Ability to simplify and present complex ideas clearly; strong collaboration and leadership in matrix organizations.

Equal‑Opportunity Employer Statement

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.