Lead Analyst - Support Digital
Cloud Software Group, Inc. (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 18–32 LPA
Posted 20h ago
Reach people at Cloud Software Group, Inc.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Cloud Software Group, Inc. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead AI-driven digital transformation initiatives focused on Generative AI, conversational AI, automation, and intelligent self-service to enhance customer and agent experiences.
- Design, build, and optimize AI-powered bots, virtual assistants, and RAG-based AI solutions including content curation, prompt engineering, and AI governance.
- Own telephony/contact-center platform business analysis and technical solutions, manage AI testing, UAT, KPIs, and drive continuous improvement through data insights and emerging AI technology adoption.
Minimum Requirements
- Demonstrated hands-on expertise in Generative AI, LLMs, RAG, prompt engineering, AI Agents, conversational AI, and AI-powered bots.
- Strong technical and analytical skills across APIs, CRM, telephony/contact-center technologies, cloud solutions, and operational data analysis.
- Proven experience in business analysis including requirements gathering, process mapping, solution design, UAT, and release management.
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Experienced in leading and implementing enterprise-level AI digital transformation initiatives with measurable business impact.
- Skilled at translating complex AI and technical concepts into actionable business solutions in fast-evolving tech environments.
- Proficient in managing end-to-end AI product lifecycle including governance, testing, KPI monitoring, and continuous performance improvements.