AI Transformation Lead
Full-time Mid-Senior LevelJob Overview
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
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