Shape and execute AI strategy: build a comprehensive roadmap for AI adoption across corporate functions, aligned to business goals
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Lead AI readiness efforts — data governance, tool selection, security, and business case development
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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
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Lead AI transformation projects end to end — planning, budgeting, execution, and operationalization — ensuring on-time, on-budget delivery with measurable outcomes
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Support client-facing AI enablement: work with business units to understand client-related AI needs
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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
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Build and maintain an external partner/vendor network for AI initiatives; track vendor roadmaps and emerging innovation (“AI marketplace” awareness)
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Own budgeting and financial management for AI tools, pilots, and projects — track spend, evaluate business cases, measure ROI
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Own performance management: define and track KPIs for AI initiative impact, capture lessons learned, and identify optimization opportunities
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Lead thought leadership on ethical, sustainable, and compliant AI practice, ensuring solutions meet quality standards and align with organizational values
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Stay current on AI/ML trends and emerging technology to keep driving innovation
Requirements
Must-Have
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10+ years of experience in technology, digital transformation, or a related field
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Bachelor’s degree in IT, Computer Science, or a related field, or equivalent working experience
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Proven track record delivering multi-disciplinary strategy within corporate operations
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Direct experience implementing AI use cases with measurable outcomes
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Familiarity with the full innovation lifecycle, from ideation through scaling
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Deep understanding of the AI/ML landscape with hands-on collaboration experience
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Excellent communication skills for conveying complex concepts to non-technical audiences
Nice-to-Have
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Experience working in a law firm, legal operations, or legal tech environment
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Hands-on experience with AI tools such as LLMs (e.g., ChatGPT), automation platforms (Zapier, Make), OCR tools, or analytics platforms
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Background in marketing automation, lead generation systems, or paid ads optimization
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Experience with chatbots, call automation, or client intake systems
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Familiarity with document automation, legal research tools, or eDiscovery platforms
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Basic understanding of APIs, integrations, or no-code/low-code tools
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Experience building dashboards (e.g., Power BI, Tableau, Google Data Studio)
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Knowledge of data privacy, compliance, and security considerations in AI implementation
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Prior experience in a consulting, operations, or innovation-focused role
System and Work Setup Requirements:
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A stable and high-speed internet connection preferably 25 MBPS or higher with backup in cases of power interruption or service provider issues.
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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
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Headset/earphone with noise cancellation and webcam at 720p or higher resolution
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A designated, quiet, and well-organized workspace free from distractions to facilitate focused work