Responsibilities
- Drive measurable gains in software development lifecycle efficiency by implementing AI-powered methods that maintain or increase output while controlling team size.
- Lead the adoption of artificial intelligence across the development lifecycle by educating teams, sharing proven practices, and demonstrating practical business applications and tools.
- Create role-specific learning programs and provide interactive training tailored to different stages of the development process.
- Establish consistent guidelines for AI tool usage and best practices across all phases of the software development lifecycle.
- Foster a network of AI practitioners across projects, monitor adoption rates, and report on progress and impact.
- Enhance business results by scaling reusable AI solutions and tools, encouraging reuse across initiatives, and minimizing redundant work.
- Collaborate with business unit leads, technical managers, and program leads to identify high-impact AI opportunities, assess return on investment, and execute prioritized initiatives.
- Design and implement the future state of AI-driven development processes, ensuring technical stability, scalability, and clear business value.
Work Arrangement
Remote (Country)
