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Senior Operations Managers (Pune)

1.00 to 10.00 Years Pune 09 Sep, 2026

Job Location	Pune
Education	Not Mentioned
Salary	Not Disclosed
Industry	Others
Functional Area	Not Mentioned
EmploymentType	Full-time

Job Description

Role & responsibilities WE ARE HIRING FOR MULTIPLE ROLES FROM SR. OPERATIONS MANAGER / HEAD OF OPERATIONS / MANAGERS, LEADS ETC. FEEL FREE TO APPLY WHERE YOU ARE MOST SUITED. - Lead multiple large-scale Data Annotation projects and customer accounts. - Manage Project Managers, Team Leads, QAs, Trainers and Annotators. - Own project delivery, quality, productivity, SLA and resource utilisation. - Manage customer relationships and handle senior international stakeholders. - Support new customer acquisition through industry relationships and networking. - Drive revenue growth, account expansion and project profitability. - Build scalable processes for workforce planning, capacity and shift management. - Lead quality improvement, RCA and corrective actions. - Mentor operational teams and develop future leaders. - Work closely with senior management, HR, Finance and Sales. Preferred candidate profile - 10 years of experience specifically in Data Annotation / AI Data Services. - 4 years in Operations Manager / Senior Operations Manager / equivalent leadership role. - Experience handling large teams, multiple projects and international customers. - Proven experience managing USD 2M annual revenue. - Strong understanding of project economics, productivity, utilisation and margins. - Robust professional network within Data Annotation, AI, Computer Vision or GenAI. - Experience in 2D/3D Annotation, Segmentation, Keypoints, LiDAR, OCR, Image/Video, Medical Annotation or GenAI/LLM tasks is preferred. - Strong customer-facing and communication skills. - Willingness to work from office in Kalyani Nagar, Pune. We are NOT looking for candidates from generic BPO, Customer Support or IT Operations backgrounds without substantial Data Annotation experience. .

Keyskills :
Operations ManagementProject ManagementCustomer Relationship ManagementQuality ImprovementTeam ManagementNetworkingWorkforce PlanningData AnnotationAI Data Services

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