Delivery Manager

Position Overview: We are seeking a smart, results-driven Delivery Manager to lead end-to-end project delivery for data annotation and AI training initiatives. We are looking for someone who is passionate about AI, data integrity, and leading teams to success. This role requires a strategic thinker with strong leadership and operations skills. The ideal candidate will have a proven track record in project management, process improvement, client relations, and operational efficiency in new-age business. A strong technical background in AI/ML data workflows, and operations will be advantageous. Experience : 8-12 years Location : Remote (India) Primary Responsibilities: 1. End-to-End Project Delivery & Client Management Own full P&L responsibility for assigned projects, ensuring delivery within scope, timeline, and quality standards Partner with Account Delivery DRI to create comprehensive work plans and resource allocation strategies, including risk management frameworks Lead weekly client reviews, manage expectations, and drive continuous improvement based on feedback Foster long-term relationships with clients to encourage repeat business and referrals. 2. Operational Excellence & Process Innovation Implement and iterate on project planning, delivery, and closure SOPs to standardize best practices Design and monitor KPIs, including average handling time (AHT), quality scores, throughput metrics, etc. Create reusable frameworks, templates, and approaches that can be scaled across multiple client engagements 3. Team Leadership & Performance Management Lead, mentor, and develop teams of project managers, quality specialists, and other technical staff. Implement targeted training programs and skill development initiatives to reduce ramp time and improve retention using data-driven insights to optimize team productivity and quality outcomes Foster a collaborative and innovative team environment with continuous learning 4. Cross-Functional Collaboration & Stakeholder Management Work closely with Horizontal Program Managers to secure appropriate tooling, infrastructure, and talent resources Coordinate with fulfillment teams on flex staffing strategies and vendor management for peak capacity needs Communicate technical concepts clearly to both technical and business stakeholders across different time zones Lead internal operational reviews and contribute to strategic planning initiatives with senior leadership 5. AI Data Quality & Technical Excellence Deep dive into multimodal data annotation processes (text, audio, image, video) to ensure the highest data integrity standards. Collaborate with ML engineering teams to optimize annotation guidelines and quality control frameworks. Stay up-to-date with the latest advancements in LLM, GenAI, and AI technologies. Analyze large datasets using statistical methods to identify trends, anomalies, and improvement opportunities. Drive innovation in annotation tooling, product, and workflow automation. Required Qualifications: 1. High Aptitude Problem Solver Should have the natural ability to work on any kind of problem. Should be comfortable dealing with uncertainty, hearing NO's, navigating with 80% correct answers , and pushing through the darkness. Be able to define the problem structure, able to break it down into manageable steps , and show progress swiftly. Strategic problem solver with a first principles approach and long-term vision & impact. 2. Leadership & Ops Excellence Demonstrated success managing technical teams of 10+ people with direct P&L accountability. Track record of delivering complex, multi-stakeholder projects on time and within budget constraints. Experience with agile methodologies, sprint planning, and continuous improvement processes. Strong analytical skills with the ability to derive actionable insights from large datasets and operational metrics. Prior experience in handling and driving high-growth OKRs. 3. Communication & Business Acumen Excellent communication skills for client-facing roles, including presentation and negotiation capabilities. Business judgment for making trade-offs between quality, speed, and cost based on client requirements. Cross-cultural collaboration experience, comfortable working across global teams and time zones. Problem-solving mindset with the ability to navigate ambiguous situations and drive resolution. Preferred Qualifications: Engineering/Management degree from top schools like IIT, IIM, ISB. Proven experience with multimodal data processing (text, audio, image, video) and annotation quality frameworks. Previous consulting or client services experience in technical domains. Knowledge of the latest multimodal AI technologies and how they can be leveraged to improve data annotation processes. Advanced degree in a relevant technical field (MS/PhD in CS, Data Science, AI/ML). Show more Show less