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15-17 Years
Not Disclosed
  • Posted 3 hours ago
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Job Description

We're Hiring | AVP – Operations | AI Data & Operations

We are looking for an experienced AVP – Operations to lead and scale large, complex operations across multiple AI Data and Human-in-the-Loop (HITL) programs.

This role will be responsible for end-to-end operational ownership, including project execution, delivery, global client and stakeholder management, POCs, team leadership, quality, productivity, and scaling of programs.

Key Responsibilities

• Lead large-scale, multi-project operations across AI Data and Human-in-the-Loop programs

• Manage multiple projects end-to-end, ensuring quality, productivity, timelines, SLAs, and delivery outcomes

• Oversee programs across data collection, data annotation, labelling, content moderation, computer vision/NLP annotation, AI training data, and HITL SME workflows

• Lead and manage egocentric / first-person data collection and annotation projects, including operational planning, execution, quality management, and delivery

• Manage multiple POCs (Proofs of Concept) simultaneously, from project initiation and resource planning through execution, client validation, and scale-up

• Work closely with global clients across different geographies and time zones, building strong relationships and ensuring effective communication and delivery

• Act as a senior point of contact for clients, managing expectations, requirements, escalations, and overall program performance

• Provide strategic and operational direction to project teams and proactively navigate project challenges and dependencies

• Build, manage, and develop high-performing teams across multiple projects and workflows

• Establish strong operational governance around quality, productivity, capacity, utilization, timelines, and delivery

• Own operational escalations and drive timely resolution of complex project and delivery challenges

• Identify opportunities to improve operational efficiency, scalability, quality, and cost effectiveness

• Partner with senior leadership to scale new programs and transition successful POCs into sustainable operations

Key Requirements

• 15+ years of experience in operations, program/project management, AI Data, Data Services, BPO/KPO, technology operations, or related environments

• Strong experience managing large-scale operations and multiple projects simultaneously

• Proven experience managing projects involving data collection, data annotation, labelling, content moderation, computer vision/NLP annotation, and AI training data

• Hands-on experience managing egocentric / Physical AI data projects, preferably involving data collection, annotation, quality control, or AI/ML training datasets

• Experience managing Human-in-the-Loop (HITL) programs and SME-led workflows

• Strong experience in POC management, including planning, execution, stakeholder alignment, client validation, and scaling

• Demonstrated ability to manage operations end-to-end, from project initiation through delivery and continuous improvement

• Proven experience working with global clients across geographies, cultures, and time zones

• Strong client-facing and stakeholder management experience, with the ability to engage confidently with senior client stakeholders

• Excellent people leadership skills with experience managing large and/or distributed teams

• Strong understanding of project governance, operational metrics, capacity planning, quality management, SLAs, and process improvement

• Strong analytical and problem-solving capabilities with the ability to navigate ambiguity and complex operational challenges

• Excellent communication, presentation, negotiation, and executive stakeholder management skills

What We're Looking For

We're looking for a senior operations leader who can bring together strong execution, project management, global client leadership, and operational excellence.

The ideal candidate will have hands-on experience taking complex AI Data programs from POC → execution → stabilization → scale, while managing teams, global clients, stakeholders, quality, timelines, and delivery outcomes.

More Info

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Key Skills

Data annotation

AI training data

Operational escalations

AI Data

Operational metrics

Project execution delivery

Egocentric first-person data collection and annotation

Global client and stakeholder management

Human-in-the-Loop (HITL) programs

SME workflows

NLP annotation