VP, Advanced Technologies -AI, RPA, IoT

AI and Data Science: 

• Lead AIML and DataScience team to solve complex business problems. 
• Utilize technologies such as Azure AI for AI model development. 
• Lead the GenAI initiatives across the Enterprise. 

MLOps: 

• Implement MLOps practices to streamline the machine learning lifecycle, from model development to deployment and monitoring. 
• Collaborate with cross-functional teams to ensure seamless integration of machine learning models into production. 

RPA and Process Automation: 

• Lead the Robotic Process Automation (RPA) solutions team to automate repetitive tasks and processes. 
• Proficiency in UI Path, Automation Anywhere, and other automation tools for process optimization. 

IoT Integration: 

• Lead and build an IoT initiatives team to connect and optimize devices, sensors, and systems for data-driven decision-making. 
• Implement IoT solutions that enhance operational efficiency and provide valuable insights. 

Technology Stack: 

• Hands-on experience with a variety of technologies, including but not limited to Python, TensorFlow, PyTorch, and scikit-learn for AI and machine learning. 
• Deep understanding of Cloud Platform AI implementations in Azure or Google Cloud. 
• Familiarity with cloud platforms such as Azure and Google Cloud for advanced technology deployments and integrations. 
• Knowledge of Gen AI and RAG architectures 
• Familiarity with RPA and IoT applications and usages. 

Data Analytics and Visualization: 

• Analyze and interpret complex data sets to derive actionable insights. 
• Utilize tools like Power BI, Tableau, or similar for data visualization and reporting. 

Team Leadership: 

• Lead and mentor a cross-functional technology team in ML, RPA and IoT. 
• Foster a collaborative and innovative team culture, ensuring alignment with overall business objectives working with CTO and key stakeholders across Sales, Marketing, eCommerce and other business areas. 

Strategic Planning: 

• Develop and communicate a technology roadmap that aligns with the company's strategic goals by partnering with key stakeholders. 
• Be a visionary. Identify and evaluate emerging technologies to drive innovation  

Vendor Management: 

• Manage relationships with technology vendors and consultants. 
• Evaluate and select vendors working with Architecture group to ensure they meet business requirements. 

Budget Oversight: 

• Optimize resource allocation to ensure efficient project delivery. 

Continuous Learning: 

• Stay abreast of the latest advancements in AI, RPA, IoT, and related technologies. 
• Actively participate in professional development activities to enhance technical skills.