AI Director

MedVirtual; Philippines; On-site; PHP 4,000,000 - 10,000,000; Full time

Job summary

MedVirtual in the Philippines seeks an AI Director to shape and execute the company’s AI strategy, building a roadmap for adoption across corporate functions aligned with business goals. The role leads AI readiness, identifies and implements AI use cases, and manages AI transformation projects end-to-end from planning to operationalization.

You will define AI risk policies, manage budgets for AI initiatives, and ensure ethical and compliant AI practices while staying current on AI/ML trends.

Qualifications

• 10+ years of experience in technology, digital transformation, or a related field.
• Bachelor's degree in IT, Computer Science, or a related field, or equivalent working experience.
• Proven track record delivering multi-disciplinary strategy within corporate operations.
• Direct experience implementing AI use cases with measurable outcomes.
• Familiarity with the full innovation lifecycle, from ideation through scaling.
• Deep understanding of the AI/ML landscape with hands-on collaboration experience.
• Excellent communication skills for conveying complex concepts to non-technical audiences.
• Preferred: Experience in a law firm, legal operations, or legal tech environment.
• Preferred: Hands-on experience with AI tools such as LLMs (e.g., ChatGPT), automation platforms (Zapier, Make), OCR tools, or analytics platforms.
• Preferred: Experience building dashboards (Power BI, Tableau, Google Data Studio).
• Preferred: Knowledge of data privacy, compliance, and security considerations in AI implementation.
• Preferred: Prior experience in a consulting, operations, or innovation-focused role

Responsibilities

• Shape and execute AI strategy: build a roadmap for AI adoption across corporate functions aligned to business goals
• Lead AI readiness efforts — data governance, tool selection, security, and business case development
• Identify, prioritize, and implement AI use cases: partner with departments to understand workflows and pain points, then translate business needs into cost-effective AI solutions
• Lead AI transformation projects end to end — planning, budgeting, execution, and operationalization — ensuring on-time, on-budget delivery with measurable outcomes
• Support client-facing AI enablement: work with business units to understand client-related AI needs
• Own AI risk and responsible-use policy: work with the security team to define and implement policies for safe, responsible AI use, managing risk through appropriate tools and frameworks
• Build and maintain an external partner/vendor network for AI initiatives; track vendor roadmaps and emerging innovation
• Own budgeting and financial management for AI tools, pilots, and projects — track spend, evaluate business cases, measure ROI
• Own performance management: define and track KPIs for AI initiative impact, capture lessons learned, and identify optimization opportunities
• Lead thought leadership on ethical, sustainable, and compliant AI practice, ensuring solutions meet quality standards and align with organizational values
• Stay current on AI/ML trends and emerging technology to keep driving innovation

Skills

AI strategy

Leadership

Stakeholder management

Communication

Strategic thinking

Change management

Technology trends

Education

Bachelor's degree in IT/CS or related field

Tools

LLMs (ChatGPT)

Automation platforms (Zapier/Make)

OCR tools

Analytics platforms

Power BI/Tableau

Job description

The AI Director will shape and execute the AI strategy, building a comprehensive roadmap for AI adoption across corporate functions aligned with business goals. This role involves leading AI readiness efforts, identifying and implementing AI use cases, and managing AI transformation projects from planning to operationalization. The position requires collaboration with various departments to understand workflows and client-related AI needs. The AI Director will also be responsible for defining AI risk policies, managing budgets for AI initiatives, and ensuring ethical and compliant AI practices while staying current on AI/ML trends.

Shape and execute AI strategy: build a comprehensive roadmap for AI adoption across corporate functions, aligned to business goals
Lead AI readiness efforts — data governance, tool selection, security, and business case development
Identify, prioritize, and implement AI use cases: partner with departments to understand workflows and pain points, then translate business needs into cost-effective AI solutions
Lead AI transformation projects end to end — planning, budgeting, execution, and operationalization — ensuring on-time, on-budget delivery with measurable outcomes
Support client-facing AI enablement: work with business units to understand client-related AI needs
Own AI risk and responsible-use policy: work with the security team to define and implement policies for safe, responsible AI use, managing risk through appropriate tools and frameworks
Build and maintain an external partner/vendor network for AI initiatives; track vendor roadmaps and emerging innovation
Own budgeting and financial management for AI tools, pilots, and projects — track spend, evaluate business cases, measure ROI
Own performance management: define and track KPIs for AI initiative impact, capture lessons learned, and identify optimization opportunities
Lead thought leadership on ethical, sustainable, and compliant AI practice, ensuring solutions meet quality standards and align with organizational values
Stay current on AI/ML trends and emerging technology to keep driving innovation

• 10+ years of experience in technology, digital transformation, or a related field
• Bachelor's degree in IT, Computer Science, or a related field, or equivalent working experience
• Proven track record delivering multi-disciplinary strategy within corporate operations
• Direct experience implementing AI use cases with measurable outcomes
• Familiarity with the full innovation lifecycle, from ideation through scaling
• Deep understanding of the AI/ML landscape with hands-on collaboration experience
• Excellent communication skills for conveying complex concepts to non-technical audiences
• Preferred: Experience working in a law firm, legal operations, or legal tech environment
• Preferred: Hands-on experience with AI tools such as LLMs (e.g., ChatGPT), automation platforms (Zapier, Make), OCR tools, or analytics platforms
• Preferred: Background in marketing automation, lead generation systems, or paid ads optimization
• Preferred: Experience with chatbots, call automation, or client intake systems
• Preferred: Familiarity with document automation, legal research tools, or eDiscovery platforms
• Preferred: Basic understanding of APIs, integrations, or no-code/low-code tools
• Preferred: Experience building dashboards (e.g., Power BI, Tableau, Google Data Studio)
• Preferred: Knowledge of data privacy, compliance, and security considerations in AI implementation
• Preferred: Prior experience in a consulting, operations, or innovation-focused role