Business Unit Head – Operations

About Awign Awign is one of India's leading Work-as-a-Service platforms, helping enterprises execute and scale business-critical operations through a unique combination of technology, data, and a distributed workforce. Since its inception in 2016, Awign has partnered with leading global enterprises across industries, delivering reliable, high-quality execution at scale through innovative operating models and a network of over 1.5 million skilled professionals. Today, Awign's capabilities span AI Operations, Retail & Field Operations, Gig Staffing, Merchant & Seller Onboarding, Audits, Telecalling, EdTech Operations, Loyalty & Rewards, and specialized talent solutions through Awign Expert . By combining technology-driven workflows with deep operational expertise, Awign enables enterprises to solve complex execution challenges efficiently, securely, and at scale. As AI transforms industries, Awign AI Operations has emerged as a strategic growth vertical, enabling global AI and technology companies to build, train, evaluate, and deploy intelligent systems. Our AI Operations capabilities include multimodal data annotation and labeling, data collection and curation, RLHF, model evaluation, AI-assisted content moderation, catalog intelligence, enterprise AI workflows, and emerging Physical AI & Robotics Operations , all delivered through enterprise-grade quality, security, and compliance frameworks. Backed by and now part of Mynavi Corporation , one of Japan's leading HR and technology companies, Awign continues to redefine how enterprises leverage technology, human expertise, and scalable operations to power business growth and the next generation of AI. Website: Awign in the news: Mynavi acquires majority stake in Bengaluru-based startup Awign Key Responsibilities Strategic Leadership Define and execute the AI Operations strategy in alignment with the organization's business goals and growth plans. Develop scalable operating models and governance frameworks to support enterprise AI programs. Lead strategic initiatives focused on operational transformation, process optimization, and business scalability. Drive innovation by leveraging technology, automation, and data-driven decision-making. AI Operations & Delivery Oversee end-to-end delivery of AI Operations programs, ensuring consistent execution across multiple customers and projects. Establish governance mechanisms to monitor delivery performance, quality, productivity, and SLA adherence. Drive continuous improvements in operational efficiency, resource utilization, and service quality. Collaborate with Product, Engineering, Quality, and Customer Success teams to enhance delivery capabilities and customer outcomes. Team Leadership Build, mentor, and lead high-performing operations teams, including Operations Managers, Team Leads, and functional specialists. Foster a culture of accountability, collaboration, innovation, and continuous learning. Drive talent development, succession planning, and employee engagement initiatives. Strengthen leadership capability across multiple management levels. Cross-Functional Collaboration Partner with Product, Technology, Finance, HR, Sales, and Customer Success teams to ensure seamless execution of business objectives. Lead cross-functional programs from planning through execution while ensuring alignment across stakeholders. Improve collaboration, communication, and operational efficiency across business functions. Performance & Operational Excellence Define and monitor key operational metrics, including productivity, quality, turnaround time, utilization, customer satisfaction, and overall operational health. Develop dashboards and MIS reports to provide actionable business insights. Leverage analytics to identify improvement opportunities and support data-driven decision-making. Drive continuous improvement initiatives to enhance operational performance and scalability. Customer Success Build and maintain strong relationships with enterprise customers and executive stakeholders. Lead operational reviews and governance meetings to ensure alignment with customer expectations. Proactively manage escalations and implement solutions to improve customer experience. Identify opportunities to strengthen long-term customer partnerships and support business growth. Preferred Qualifications 7–10 years of experience in AI Operations, Business Operations, Strategy, Program Management, Managed Services, or related domains. Proven experience managing large operations teams (100 employees) in a high-growth environment. Strong expertise in operational excellence, governance, process optimization, and large-scale program management. Experience leading cross-functional initiatives involving Product, Engineering, and Customer Success teams. Excellent leadership, stakeholder management, communication, and problem-solving skills. Strong analytical mindset with experience using operational metrics to drive business decisions. Bachelor's degree in Engineering, Business Administration, or a related field. Candidates from Tier-1 institutions (IITs/NITs) will be preferred. Success Metrics Operational efficiency and scalability SLA adherence and delivery excellence Customer satisfaction and retention Productivity and quality improvement Employee engagement and leadership development Successful execution of strategic initiatives Business growth and operational profitability