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Berry Virtual logo

AI Director

Berry Virtual
Posted 8 hours ago
🌍Colombia, Honduras, India, Mexico, Philippines🏠Remote📁Data & Analytics
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Key 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 Must-Have 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 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 System and Work Setup Requirements: 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 Permanent remote work setup Competitive starting rate paid in USD Internet Allowance HMO insurance (PH) Paid US holidays Paid Vacation and Sick Leaves

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