ADCI - Karnataka
Technology
ManagerII,MLDataOperations,GlobalOperationsArtificialIntelligence,AmazonRobotics
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“Manager II, ML Data Operations, Global Operations Artificial Intelligence, Amazon Robotics at ADCI - Karnataka. Skills: ML Data Operations, People leadership, Operational excellence. Lead and manage 6-8 Team Managers. Oversee 100–150+ associates”
What You'll Achieve.
Scale operations; Improve productivity; Ensure SLA adherence; Develop high-performing management teams; Improve operational efficiency; Improve customer outcomes; Ensure uninterrupted business operations; Improve operational scalability; Improve quality outcomes
Industry & Context.
Data-driven decision-making; Root cause analysis
Rotational shifts, Occasional travel
What They're Looking For.
Must Have
Bachelor's degree in any field, Experience managing large teams of 150 people or more, Experience building strategic relationships with stakeholders, Experience gathering and analyzing large amounts of data, Experience delivering continuous business improvements, Experience in written and verbal communication skills, 8+ years of overall experience, 4–5 years of people management experience, Proven experience driving operational KPIs, Experience in workforce management, Experience in shift planning, Experience in escalation management, Experience in business continuity planning, Ability to lead remote/hybrid multicultural teams
Nice to Have
Bachelor's degree in computer science, engineering, mathematics or equivalent, Master's degree in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent, Experience in AI/ML operations, Experience in data annotation, Experience in robotics operations, Experience in human-in-the-loop workflows, Exposure to Lean, Six Sigma, operational excellence frameworks, Exposure to process automation initiatives, Working knowledge of SQL, Working knowledge of reporting tools, Working knowledge of automation workflows, Working knowledge of operational analytics, Experience managing globally distributed operations teams, Experience managing multiple business programs, Understanding of machine learning lifecycle support operations, Understanding of annotation quality frameworks
What You'll Do.
Lead and manage 6-8 Team Managers
Oversee 100–150+ associates
Drive operational excellence
Ensure achievement of key metrics
Provide strategic direction
Provide operational governance
Own workforce planning
Own capacity management
Own escalation handling
Own business continuity management
Partner closely with Quality
Partner closely with Training
Partner closely with Capacity Planning
Partner closely with Program Management
Partner closely with cross-functional stakeholders
Drive process improvement initiatives
Identify operational risks proactively
Implement mitigation strategies
Ensure adherence to data security
Ensure adherence to confidentiality
Ensure adherence to compliance policies
Ensure adherence to customer privacy standards
Drive end-to-end people strategy
Drive change management initiatives
Partner with Senior leaders on operational roadmaps
Analyze performance data
Own executive reporting
Review operational dashboards
Review workforce coverage
Review business escalations
Conduct leadership syncs
Review performance metrics
Prioritize operational actions
Collaborate with cross-functional stakeholders
Drive operational improvements
Participate in business reviews
Mentor front-line managers
Evaluate process enhancement opportunities
Support strategic planning initiatives
How You'll Work.
Team & Collaboration
Cross-functional stakeholders; Quality teams; Training teams; Capacity Planning teams; Program Management teams; Senior leaders
Communication Scope
Written communication; Verbal communication; Executive reporting
Process & Methodology
Roadmap planning
Full Job Description
As a Manager II, ML Data Operations, you will lead 6-8 Team Managers and oversee large-scale ML data annotation and operational delivery teams across remote and work-from-office environments. This role is responsible for driving operational excellence, people leadership, stakeholder management, quality governance, workforce planning, process optimization, and business continuity across multiple AI/ML programs. You will act as the primary leader responsible for scaling operations, improving productivity, ensuring SLA adherence, and developing high-performing management teams supporting Amazon Robotics and Fulfilment Technologies initiatives. Key job responsibilities Lead and manage 6-8 Team Managers overseeing 100–150+ associates across AI/ML data operations programs. Drive operational excellence by ensuring achievement of key metrics including SLA adherence, productivity, quality, accuracy, utilization, and compliance. Provide strategic direction and operational governance for multiple annotation and ML data generation programs across image, video, text, dialogue, and robotics-related workflows. Own workforce planning, capacity management, shift planning, escalation handling, and business continuity management for large-scale operations. Partner closely with Quality, Training, Capacity Planning, Program Management, and cross-functional stakeholders to improve operational efficiency and customer outcomes. Drive process improvement initiatives through Lean methodologies, automation opportunities, data-driven decision-making, and operational standardization. Identify operational risks proactively and implement mitigation strategies to ensure uninterrupted business operations. Ensure strict adherence to data security, confidentiality, compliance policies, and customer privacy standards. Drive end-to-end people strategy (hiring, calibration, retention, engagement) and change management initiatives while partnering with Senior leaders on operational roadmaps, analysing pe
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