Engagement Manager

Position Overview
We are looking for a dynamic and results-driven Engagement Manager / Delivery Manager with a strong Computer Science foundation, a proven track record of leading large-scale delivery teams, and a client-first approach In this role, you will oversee the successful execution of complex projects by managing end-to-end delivery, aligning cross-functional stakeholders, and upholding the highest standards of data quality and operational excellence, The ideal candidate has a Tier-1 engineering background (IITs/NITs/BITS or equivalent), strong leadership experience managing teams of 30 to 100+ members, fluency in Python, and exceptional communication and analytical skills Experience in fast-paced environments such as high-growth startups or consulting firms is highly desirable, Key Responsibilities Project Delivery & Client Management Own end-to-end delivery of client engagements across multiple workflows and domains, Drive project planning, execution, risk management, and retrospective analysis, Act as the primary point of contact for clients ? translating evolving requirements into actionable plans, Collaborate with internal program managers, engineers, and QA leads to ensure seamless execution and alignment, Team Leadership & Workstream Management Lead cross-functional teams of 30100+ professionals, including project managers, QA leads, and annotators, Define team structures, monitor workloads, and optimize efficiency through data-driven dashboards and performance metrics, Foster a high-performance culture through mentorship, role clarity, and continuous feedback, Scale teams rapidly to meet fluctuating project demands, including recruitment and onboarding initiatives, Operational Excellence & Quality Assurance Own and evolve Standard Operating Procedures (SOPs), SLA adherence, and delivery improvements, Monitor and improve KPIs such as AHT, throughput, quality scores, and defect rates, Identify bottlenecks and deploy technical/process improvements to mitigate them, Partner with cross-functional teams to implement automation, improve tooling, and standardize workflows, Technical Engagement & Analytical Thinking Work hands-on with Python-based tools, automation scripts, and annotation platforms, Analyze large datasets to develop and monitor quality frameworks, Collaborate with engineers and data scientists to define metrics and calibration processes, Solve ambiguous operational challenges using first-principles thinking and structured experimentation, Must-Have Qualifications Bachelors degree in Computer Science or related field from a Tier-1 engineering institute (IITs, BITS, NITs preferred), 58 years of experience in project delivery, operations, or client services, Demonstrated experience managing large, diverse teams (70100+) or multi-layered vendor teams, Proficiency in Python; working knowledge of JavaScript is a plus, Excellent written and verbal communication skills with strong client-facing presence, Proven ability to define scalable workflows, maintain SLAs, and operate under tight deadlines, Strong analytical, organizational, and problem-solving capabilities in high-ambiguity settings, Preferred Qualifications Masters degree or MBA from a top business school (IIMs, ISB, or equivalent), Experience in consulting, AI/ML operations, or high-growth product/startup environments, Familiarity with Agile methodologies, sprint planning, and operational tooling, Show