- Company Name
- XPO
- Job Title
- Director, Artificial Intelligence - Hybrid
- Job Description
-
**Job Title**
Director, Artificial Intelligence – Hybrid
**Role Summary**
Lead the design, execution, and scaling of the organization’s artificial intelligence capabilities. Oversee a multidisciplinary AI team, set strategic direction for AI and Generative AI initiatives, and serve as the primary liaison between technology, business leaders, and external stakeholders to deliver enterprise‑level AI solutions that drive supply chain optimization and revenue growth.
**Expectations**
- Build a best‑in‑class AI organization and roadmap.
- Deliver high‑impact AI/ML solutions that meet business objectives.
- Engage senior stakeholders as trusted advisors on AI strategy and adoption.
- Manage P&L responsibility, revenue growth, and client relationships.
- Champion innovation, ensuring solutions leverage leading cloud and Gen AI technologies.
**Key Responsibilities**
1. Recruit, lead, and develop a high‑performing AI/ML team.
2. Define and execute the global AI & Gen AI vision, product strategy, and technical framework.
3. Design, build, and deploy predictive models, recommendation systems, and other AI solutions for complex supply‑chain problems.
4. Serve as senior advisor to enterprise clients, guiding AI initiatives and ensuring client satisfaction and quality delivery.
5. Coordinate cross‑functional communication among executives, vendors, and internal teams.
6. Drive decision‐making around emerging technologies, tools, and approaches.
7. Oversee project budgets, resource allocation, and revenue impact.
**Required Skills**
- 7+ years of AI/ML experience with proven model deployment (PyTorch, Python, etc.).
- 5+ years leading and scaling data science teams.
- Deep expertise in building large‑scale predictive models and recommendation systems.
- Proficiency in AI frameworks (e.g., PyTorch) and programming languages (Python).
- Strong communication, influence, and stakeholder management.
- Experience with cloud platforms, data science tooling, and Gen AI technologies.
- Leadership in managing P&L, revenue, and client engagements.
**Required Education & Certifications**
- Bachelor’s degree in Data Science, Computer Science, Applied Mathematics, Engineering, or related field (or equivalent military experience).
- Master’s or PhD preferred, with significant leadership experience in AI/ML domains.