Senior Business Analyst – Digital Transformation & AI

<h3>Accountabilities</h3><li>Lead digital transformation and M&amp;A initiatives across the enterprise, coordinating activities from initial discovery and requirements definition through implementation and adoption.</li><li>Gather, analyze, and document business requirements from internal and external stakeholders, translating them into functional specifications, user stories, and process workflows.</li><li>Analyze existing business processes and identify opportunities for technology-enabled improvements, automation, and operational efficiency.</li><li>Evaluate and implement opportunities involving Generative AI, AI agents, workflow automation, and related technologies to address business challenges.</li><li>Develop business cases, solution proposals, executive presentations, project documentation, and other materials required to support transformation decisions.</li><li>Define project KPIs and success measures, monitor delivery against business objectives, and communicate progress, risks, and dependencies to leadership.</li><li>Identify, assess, and mitigate project risks and cross-functional dependencies while maintaining alignment between business priorities and technology delivery.</li><li>Support Agile practices including sprint planning, backlog prioritization, stakeholder alignment, and user acceptance testing.</li><li>Build strong relationships across business, technology, engineering, and leadership teams to encourage alignment, adoption, and successful delivery.</li><li>Monitor emerging AI technologies and industry practices, assessing their potential relevance to enterprise transformation initiatives and sharing insights with stakeholders.</li><h2>Requirements</h2><li>Bachelor’s degree in Engineering, preferably B.E./B.Tech in Computer Science, Information Technology, Electronics &amp; Communication, or a related discipline, combined with a full-time two-year MBA from a leading business school.</li><li>4–6 years of post-qualification experience in business analysis, business partnering, technology consulting, AI project leadership, product analysis, or a comparable role.</li><li>Strong understanding of Supply Chain concepts, software development lifecycle practices, Agile/Scrum methodologies, and business analysis techniques.</li><li>Hands-on experience with requirements gathering, process improvement, project management, data analysis, reporting, and translating business needs into actionable technology solutions.</li><li>Experience developing business cases, executive presentations, project KPIs, and transformation documentation.</li><li>Strong analytical, problem-solving, communication, presentation, and stakeholder-management capabilities, with the ability to communicate effectively with both technical and non-technical audiences.</li><li>Practical exposure to AI and Generative AI solutions such as LLMs, AI agents, Microsoft Copilot, ChatGPT, Azure OpenAI, or comparable technologies is highly valued.</li><li>Experience with M&amp;A integration, enterprise transformation programs, IT infrastructure, or cloud platforms is advantageous.</li><li>Certifications such as PMP, Certified ScrumMaster, ITIL Foundation, or relevant AI certifications are beneficial.</li><li>Ability to manage multiple initiatives in a fast-moving environment while maintaining focus on measurable business outcomes and strong stakeholder alignment.</li><h2>Benefits</h2><li>Remote work opportunity within India.</li><li>Opportunity to work on enterprise-wide digital transformation and M&amp;A initiatives.</li><li>Exposure to Generative AI, AI agents, LLMs, workflow automation, and other emerging technologies.</li><li>High-impact role with visibility across business, technology, and leadership teams.</li><li>Fast-paced, growth-oriented environment with opportunities for continuous learning and professional development.</li><li>Collaborative culture focused on innovation, knowledge sharing, and meaningful business impact.</li><li>Opportunity to contribute to strategic initiatives involving enterprise technology, AI adoption, and process optimization.</li><li>Inclusive workplace committed to providing opportunities for people from diverse backgrounds.</li>