AI Director

Berry Virtual

Colombia, Honduras, India, Mexico, PhilippinesremotePosted 15 days ago

Skill Required

AI-StrategyAI-LeadershipDigital-TransformationAI-Product-ManagementAI-OperationsAI-DirectorDirector-Of-AIAI-ML-DirectorDirector-Of-Artificial-IntelligenceAI-Development-DirectorAI-Operations-DirectorApplied-AI-DirectorAI-Engineering-DirectorDirector-AI-EngineeringAIEmail Marketingrelated fieldautomationPower BIanalyticssecuritybuildingTableauAPIsGenerative AIandMachine LearningFulltime

Key highlights

Competitive starting rate paid in USD
10+ years of experience in technology, digital transformation, or a related field
Permanent remote work setup
Direct experience implementing AI use cases with measurable outcomes

Role overview

Responsibilities

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 ("AI marketplace" awareness)
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

Requirements

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
A stable and high-speed internet connection preferably 25 MBPS or higher with backup in cases of power interruption or service provider issues.
Own PC/laptop with 8GB RAM, and a processor of Core i5 / AMD Ryzen 3 / 2013 Mac equivalent or higher; Windows 10 or above / Catalina 10.15 or newer; with up-to-date web browsers, and security software, 500GB/128 SSD storage
Headset/earphone with noise cancellation and webcam at 720p or higher resolution
A designated, quiet, and well-organized workspace free from distractions to facilitate focused work

Nice to have

Experience working in a law firm, legal operations, or legal tech environment
Hands-on experience with AI tools such as LLMs (e.g., ChatGPT), automation platforms (Zapier, Make), OCR tools, or analytics platforms
Background in marketing automation, lead generation systems, or paid ads optimization
Experience with chatbots, call automation, or client intake systems
Familiarity with document automation, legal research tools, or eDiscovery platforms
Basic understanding of APIs, integrations, or no-code/low-code tools
Experience building dashboards (e.g., Power BI, Tableau, Google Data Studio)
Knowledge of data privacy, compliance, and security considerations in AI implementation
Prior experience in a consulting, operations, or innovation-focused role