Manager, AI and Automation

• Develop and execute the organization's AI and automation strategy in alignment with overall business goals.
• Oversee the end-to-end lifecycle of AI projects, from ideation and prototyping to deployment and maintenance.
• Lead and mentor a team of AI and automation specialists, data scientists, engineers, and analysts.
• Collaborate with cross-functional teams including IT, product, operations, and compliance to ensure successful project outcomes.
• Monitor industry trends and emerging technologies to identify opportunities for innovation and improvement.
• Establish and enforce best practices for AI model development, testing, validation, and deployment.
• Ensure that all AI and automation solutions adhere to ethical guidelines, data privacy laws, and regulatory standards.
• Manage budgets, timelines, and resource allocation for AI and automation initiatives.
• Communicate project progress, risks, and outcomes to senior leadership and stakeholders.
• Foster a culture of continuous learning and professional development within the AI automation team.
• Performs all other miscellaneous responsibilities and duties as assigned or directed.

#LI-Hybrid

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering; or equivalent combination of education and experience. in related field.
• Five years of experience in managing AI, Automation, machine learning, or data science projects.
• Two years of supervisory or management experience.
• Experience with cloud platforms and data technologies.
• Deep understanding of AI methodologies, including supervised and unsupervised learning, NLP, computer vision, and predictive analytics.
• Familiarity with regulatory frameworks (e.g., GDPR, CCPA) and ethical principles in AI development.
• Strong understanding of data security, privacy, and ethical considerations in AI.
• Intermediate knowledge of Microsoft Office applications, including but not limited to Word, Excel, Outlook, and PowerPoint.
• Proficiency in relevant programming languages (e.g., Python, R, Agents, Studio, anthropic, ansible, UIpath) and AI frameworks (e.g., TensorFlow, PyTorch).