Lead Data Analyst

Primary Responsibilities:

1. AI and Automation Strategy Development:
2. Design and implement AI and automation strategies to enhance operational efficiency, reduce costs, and improve service quality
3. Identify opportunities for AI and automation within technology operations and develop a roadmap for implementation
4. System Integration and Automation:
5. Integrate AI and automation tools with existing IT infrastructure to streamline processes such as incident response, change management, and system monitoring
6. Develop and maintain scripts and programs for automating repetitive tasks and workflows
7. Monitoring and Optimization:
8. Implement AI-driven monitoring solutions to proactively detect and resolve issues within the IT environment
9. Continuously optimize AI and automation solutions to ensure they are operating efficiently and effectively
10. Data Analysis and Decision Support:
11. Utilize AI and machine learning techniques to analyze large datasets for insights that can drive operational improvements
12. Create predictive models to forecast potential issues and recommend preventive measures
13. Incident Management and Response:
14. Develop automated incident response strategies to quickly address and resolve IT incidents
15. Utilize AI to analyze incident data and identify root causes to prevent future occurrences
16. Collaboration and Communication:
17. Work closely with cross-functional teams, including DevOps, IT support, and cybersecurity, to ensure seamless integration of AI and automation solutions
18. Communicate the benefits and progress of AI and automation initiatives to stakeholders and management
19. AI Model Development and Maintenance:
20. Develop, train, and maintain AI models that are used in technology operations
21. Ensure models are up-to-date and retrain them as necessary to maintain accuracy and relevance
22. Documentation and Compliance:
23. Document AI and automation processes, workflows, and solutions for transparency and knowledge sharing
24. Ensure that AI and automation solutions comply with relevant industry standards, regulations, and best practices
25. Continuous Improvement:
26. Stay up-to-date with the latest trends and advancements in AI and automation technologies
27. Continuously seek out new tools, techniques, and methodologies to enhance the effectiveness of technology operations
28. Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

1. Graduate degree or equivalent experience
2. Experience with automation tools and platforms like Ansible, Puppet, Chef, or similar
3. Experience with Azure OpenAI
4. Proven excellent communication and collaboration abilities
5. Solid knowledge of AI and machine learning algorithms and techniques
6. Proficiency in programming languages such as Python, Java, or R
7. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services
8. Solid analytical and problem-solving skills
9. Solid Prompt Engineering Skills
10. Knowledge of AI driven Software Development Lifecycle
11. Knowledge of IT operations and best practices