About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
About the Role
We are looking for a highly motivated Business Analyst / AI Project Lead to drive AI-led transformation initiatives across Enterprise IT Infrastructure. The ideal candidate will bridge business and technology teams, analyze business needs, manage cross-functional projects, and identify opportunities to leverage AI and automation for improving operational efficiency. This role requires strong business acumen, excellent stakeholder management skills, and a solid understanding of Enterprise IT Infrastructure, Cloud, Networking, and AI technologies.
Key Responsibilities
- Gather, analyze, and document business requirements from internal and external stakeholders.
- Translate business requirements into functional specifications, user stories, and process workflows.
- Lead AI and Digital Transformation initiatives across Enterprise IT Infrastructure.
- Identify opportunities for process optimization using Generative AI, AI Agents, and workflow automation.
- Coordinate with Infrastructure, Cloud, Networking, Security, Product, and Engineering teams for successful project execution.
- Prepare business cases, solution proposals, executive presentations, and project documentation.
- Manage project timelines, scope, risks, dependencies, and stakeholder communication.
- Define project KPIs and track delivery against business objectives.
- Support Agile ceremonies, sprint planning, backlog prioritization, and UAT activities.
- Analyze business processes and recommend technology-driven improvements.
- Stay updated on emerging AI technologies and industry best practices
Basic Qualifications
- Bachelor's degree in Engineering (B.E./B.Tech) in Computer Science, Information Technology, Electronics & Communication, or a related engineering discipline.
- Full-time, two-year MBA from a recognized university or premier business school.
- 3–5 years of experience as a Business Analyst, AI Project Lead, Technology Consultant, Product Analyst, or similar role.
- Hands-on experience working on Enterprise IT Infrastructure, Cloud, Networking, Cybersecurity, or Digital Transformation projects.
- Strong understanding of Software Development Life Cycle (SDLC), Agile/Scrum methodologies, and Business Analysis practices.
- Excellent analytical, problem-solving, communication, and stakeholder management skills.
Preferred Qualifications
- Experience working with AI/Generative AI solutions, including LLMs, AI Agents, Microsoft Copilot, ChatGPT, Azure OpenAI, or similar technologies.
- Knowledge of Enterprise IT Infrastructure, Cloud Platforms (AWS, Azure, or GCP), Networking, Cybersecurity, and IT Service Management.
- Experience with Jira, Confluence, Azure DevOps, ServiceNow, or similar project management tools.
- Certifications such as PMP, Certified Scrum Master (CSM), ITIL Foundation, or AI-related certifications are an added advantage.
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
