Senior Manager / Director of AIOps and IT Operations (Perm)

• Strategic Leadership:

• Define and execute the strategy for AIOps implementation within the infrastructure domain, ensuring alignment with organizational goals.
• Collaborate with cross-functional teams (engineering, IT operations, and data science) to identify areas for automation, optimization, and enhanced system management.

• AIOps Development and Execution:

• Lead the design and development of AI-driven solutions, integrating advanced analytics, machine learning (ML), and automation to streamline IT operations such as monitoring, incident management, and capacity planning.
• Oversee the implementation of AIOps tools and frameworks to manage complex IT systems, ensuring minimal downtime and proactive problem resolution.
• Ensure integration of AIOps solutions with existing IT Service Management (ITSM) tools and monitoring platforms.

• Analytics and Optimization:

• Implement predictive and prescriptive analytics to forecast system performance, automate root-cause analyses, and optimize resource utilization.
• Use AI/ML models to improve system uptime, resilience, and scalability while reducing manual workload and operational overheads.

• Architecture and Ecosystem Development:

• Develop a scalable AIOps architecture that integrates with current and future IT systems.
• Create frameworks for continuous monitoring, performance tuning, and fault tolerance across multi-cloud environments, on-premises infrastructure, and hybrid models.

• Team Leadership and Mentorship:

• Build and lead a high-performing team of data scientists, AI engineers, and infrastructure specialists by fostering a culture of innovation and collaboration.
• Provide mentorship and training on AIOps solutions and best practices across teams.

• Stakeholder Collaboration:

• Partner with business and technical stakeholders to understand operational challenges and translate them into data-driven solutions.
• Communicate and advocate for the value of AIOps development to C-level executives and other key decision-makers.

• Compliance and Security:

• Ensure AIOps frameworks align with organizational cybersecurity and data privacy policies.
• Stay updated on AI ethics, compliance, and regulatory trends globally to maintain the responsible use of AI tools.

• Education:

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field is required. Master's degree or MBA is preferred.

• Experience:

• 10+ years of experience in IT operations, infrastructure management, or AI/ML development.
• Proven track record of implementing AIOps solutions, from concept to production, at a senior technology leadership level.
• Experience working with cloud platforms (AWS, Azure, or GCP) and hybrid IT environments is a strong advantage.
• Familiarity with AIOps tools and platforms such as Dynatrace, DataDog, Splunk, Moogsoft, BigPanda, or similar.

• Technical Skills:

• Strong expertise in machine learning algorithms, natural language processing (NLP), predictive analytics, and automation frameworks.
• Proficiency in programming languages such as Python, R, or Java, with knowledge of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Understanding of IT Operations Management (ITOM), ITSM, DevOps practices, and observability tools.

• Soft Skills:

• Strong leadership, communication, and project management skills.
• Exceptional problem-solving skills with the ability to anticipate operational challenges and proactively create solutions.

• Certifications (Desirable):

• ITIL速 certifications, Cloud certifications (AWS Solutions Architect, Microsoft Azure Administrator, etc.), or AI/ML certifications.
• A visionary thinker with a passion for operational excellence, skilled at managing complex IT systems at scale.
• Global mindset with experience working with teams in diverse geographies.
• Comfort with ambiguity and a proven ability to deliver measurable results in a fast-changing technology landscape.

Robert Half