Director, AI Data Operations

Overview

Build, launch, and scale the company's AI Data Operations practice, establishing the solutions, partnerships, delivery models, and go-to-market strategy needed to support organizations developing and deploying AI at scale.

What you'll do

• Define the AI Data Operations strategy, service portfolio, positioning, and go-to-market proposition.
• Identify high-value opportunities across the AI development, training, evaluation, deployment, and production lifecycle.
• Develop repeatable solutions, operating models, delivery methodologies, commercial constructs, governance frameworks, and implementation playbooks.
• Evaluate capability gaps and recommend whether to build, partner, or acquire capabilities.
• Establish performance indicators and operational standards for AI Data Operations engagements.
• Develop relationships with AI-native companies, technology platforms, hyperscalers, autonomous-systems companies, and enterprises deploying AI at scale.
• Engage senior stakeholders across AI, Data, Product, Technology, Operations, and Procurement.
• Lead client discovery sessions, solution workshops, presentations, proposals, and commercial negotiations.
• Personally originate and support the closure of the initial generation of AI Data Operations engagements.
• Develop sustainable opportunity pipelines and new revenue streams for the practice.
• Design and oversee AI-native operations solutions, including data collection and curation, training and evaluation dataset operations, data labeling and multimodal annotation, model evaluation and benchmarking, human preference data and reinforcement-learning workflows, human-in-the-loop operations, agent evaluation and monitoring, Trust & Safety operations, computer vision and autonomous systems data operations, red teaming, and AI workflow monitoring.
• Establish quality frameworks, quality-control mechanisms, and human-in-the-loop escalation for AI training, evaluation, and production operations.
• Incorporate data governance, privacy, security, and responsible-data-handling requirements into solution design, in partnership with Technology, Information Security, Privacy, Legal, Risk, and Operations teams.
• Represent the company in client and industry conversations on AI Data Operations and develop client-facing thought leadership and market perspectives.
• Build partnerships across the AI technology and data ecosystem, including AI-native companies, hyperscalers, AI platforms, and specialist service providers.
• Work with global delivery teams to translate solution concepts into scalable operating models and support transition from pilots into sustainable managed-service operations.

What you'll need

• Ideally 5+ years of consulting and sales experience.
• AI domain expertise and experience with AI/ML data operations.
• Commercial leadership and global operations experience.

Details

• Remote role within the US.
• Base salary of up to $200k plus annual bonus.
• Working hours within EST.