Job
Description
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Job Responsibilities: Agile Delivery Ownership - Drive end-to-end agile project execution using Scrum and/or hybrid agile frameworks. Organize and facilitate sprint planning, daily stand-ups, sprint reviews, retrospectives, and demos. Proactively identify and remove blockers that impact team velocity or delivery timelines. Stakeholder Customer Engagement - Coordinate closely with Product Managers, Engineering Leads, and Client Stakeholders to ensure alignment on sprint goals and deliverables. Ensure transparency by maintaining up-to-date burndown charts, sprint boards, and metrics dashboards. Team Empowerment Agile Coaching - Mentor cross-functional teams on Agile principles and continuous improvement practices. Cultivate team autonomy, ownership, and collaboration across AI engineers, ML experts, and platform teams. Quality and Process Excellence - Ensure adherence to delivery SLAs, sprint commitments, and customer satisfaction goals. Drive retrospectives to identify improvement areas and implement actionable changes. Job Qualifications: 3-5 years of experience managing Agile software delivery projects, with at least 2 years as a dedicated Scrum Master. Strong understanding of Agile/Scrum concepts, with hands-on experience using tools like JIRA, Confluence, Azure DevOps, etc. Ability to manage distributed teams delivering cloud-based AI/ML or data platforms. Excellent communication and stakeholder management skills, especially in customer-facing environments. Experience working in technology-led consulting, system integration, or product delivery setups. Preferred Qualifications: Scrum Master certification (CSM, PSM). Experience in AI/ML, GenAI, or cloud-native solution delivery. Exposure to working with large enterprise customers, preferably Fortune 500. Familiarity with CI/CD, MLOps, or modern DevOps practices. Background in managing engineering, data science, or product delivery teams.
