Director of Artificial Intelligence

Key Responsibilities

• Define and execute enterprise AI strategy aligned with business priorities
• Establish centralized AI operating model to accelerate adoption
• Partner with leadership to prioritize high-impact use cases
• Lead hands-on from concept through production deployment
• Design and deploy AI/ML solutions across customer care, field services, and network operations
• Deliver use cases including agent assist, conversational AI, predictive dispatch, and digital self-service
• Drive measurable improvements in churn, customer experience, and operational efficiency
• Own end-to-end lifecycle: ideation, deployment, monitoring, and value realization

Data & Platform Enablement

• Partner with data and engineering teams to build scalable AI platforms and pipelines
• Ensure data quality, governance, and availability
• Champion MLOps, modern tooling, and engineering standards
• Establish frameworks for security, privacy, compliance, and ethical AI use
• Define standards for model lifecycle, monitoring, and explainability
• Mitigate risks (bias, hallucinations, data quality, cybersecurity)

Cross-Functional Collaboration

• Work across business and technical teams to identify opportunities and deploy solutions
• Translate business needs into technical execution plans
• Promote AI literacy and adoption across the organization
• Build and lead teams of data scientists, ML engineers, and analysts
• Develop internal capabilities while leveraging vendors and partners
• Foster a culture of experimentation, accountability, and continuous improvement

Documentation & Best Practices

• Maintain technical standards, documentation, and operational procedures
• Stay current on emerging technologies and industry trends

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
• 10+ years of experience in AI, data science, or software engineering, including enterprise-scale deployments
• 5+ years in leadership roles
• Experience with AI/ML platforms, cloud ecosystems (Azure, AWS, GCP), and modern frameworks
• Strong proficiency in Python and familiarity with ML tools (TensorFlow, scikit-learn, Hugging Face)
• Experience with generative AI, RAG, vector databases, multi-agent systems, and MLOps tools
• Proven track record in AI architecture, governance, and production readiness

Preferred Qualifications

• Master’s degree
• Telecom or customer operations experience
• Familiarity with use cases such as churn prediction, IVR automation, and dispatch optimization
• Strong executive communication and stakeholder management skills

Additional Information

• Strong communication, problem-solving, and organizational skills required
• Must be authorized to work in the U.S. (no sponsorship available)
• Standard office environment with typical physical requirements
• Equal Opportunity Employer; background check and drug screening may be required