AI Transformation Lead

AI Strategy & Vision

• Define and maintain a clear, company-wide AI strategy aligned with business goals and long-term roadmap
• Identify high-impact AI use cases across products, operations, risk, customer experience, and internal workflows
• Establish success metrics (ROI, efficiency, quality, revenue impact) for AI initiatives

Portfolio & Program Leadership

• Own the AI initiative portfolio: prioritization, sequencing, and resourcing
• Translate business problems into AI opportunities and ensure solutions are pragmatic and scalable
• Drive pilots from concept to production, ensuring measurable outcomes
• Sunset or pivot initiatives that do not deliver value

Cross-Functional Execution

• Partner with Product, Engineering, Data Science, Security, Legal, and Compliance teams to deliver AI solutions
• Act as the primary interface between executive leadership and technical teams for AI-related decisions
• Ensure AI initiatives are embedded into core workflows, not isolated experiments

Governance, Risk & Responsible AI

• Establish AI governance frameworks covering transparency, security, and regulatory compliance
• Ensure responsible use of generative AI, machine learning, and automation technologies
• Monitor evolving AI regulations and industry standards; adapt strategy accordingly

Enablement & Change Management

• Educate executives and leaders on AI capabilities, limitations, and trade-offs
• Build internal AI literacy through frameworks, playbooks, and best practices
• Influence culture change to support AI-driven decision-making and automation

Market & Technology Awareness

• Stay current on AI trends, platforms, vendors, and tooling (e.g., GenAI, LLMs, MLOps)
• Evaluate build vs. buy decisions and manage key AI vendor relationships
• Assess competitive landscape and identify opportunities for differentiation through AI