VP of AI Operations

Overview

Responsibilities

• Direct the selection and implementation of enterprise-wide artificial intelligence platforms and tools.
• Establish governance frameworks to ensure the ethical and compliant use of data and algorithms.
• Manage the budget for AI infrastructure, cloud computing resources, and external vendor contracts.
• Collaborate with product and engineering leads to integrate automated intelligence into customer-facing offerings.
• Monitor performance metrics of deployed models to ensure operational efficiency and cost-effectiveness.
• Develop training programs to improve AI literacy and adoption across various business units.
• Lead the response to technical outages or algorithmic biases within the company's automated systems.

Qualifications

• A minimum of ten years of experience in technical operations, data science, or engineering management.
• Proven track record of managing large-scale software deployments or digital transformation projects.
• In-depth knowledge of machine learning lifecycles and modern cloud infrastructure.
• Exceptional proficiency in strategic planning and cross-functional team leadership.
• Advanced degree in computer science, business administration, or a related quantitative field.
• Strong understanding of data privacy regulations and security standards.

Nice to have

• Experience in a high-growth technology environment or a major consultancy firm.
• Active involvement in industry AI ethics boards or technology standardization groups.
• Background in managing large budgets and complex procurement processes for enterprise software.
• Professional certifications in machine learning engineering or data governance.

Work environment

• Work is typically performed in a professional office setting with frequent virtual collaboration across time zones.
• The role involves high-stakes decision-making and regular reporting to the Chief Technology Officer or CEO.
• Travel is occasionally required for industry conferences, vendor evaluations, and off-site strategic meetings.
• Teams are often multidisciplinary, consisting of data scientists, operations managers, and legal experts.
• Standard business hours are common, though high-priority system issues may require occasional off-hours availability.

Benefits & growth

• Compensation packages usually include a significant base salary combined with executive bonuses.
• Equity grants or stock options are standard components of the total reward structure in this tier.
• Career progression typically leads to C-suite positions such as Chief Technology Officer or Chief Operating Officer.
• Professional development is supported through executive leadership coaching and access to elite technology networks.
• The role offers high visibility and the opportunity to shape the foundational technology strategy of an entire organizations.