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Director AIOPS Competency Lead
Job Description
Knowledge & Experience
- Minimum of 15 years of relevant work experience in critical production environments with a focus on automation and R&D
- Experience with designing and implementing solutions using AI models (discriminative or generative) to automate Production Support activities.
- Hands-on experience with Data Lakes and an understanding of ML models
- Worked with world-class observability and AIOps suites like Dynatrace Watchdog, Datadog Watchdog, Splunk ITSI, ServiceNow AIOps, PagerDuty, Moog soft and others.
- Built large teams to scale within AIOps capabilities and a clear understanding of Delivery outcomes / benefits.
- Working knowledge of Guilds, Chapters and the concept of capability building towards a targeted competency in an organization
- Architected and estimated AIOps solutions for presales, RFP responses and proactive sales purposes to clients
- Public presence in the realm of AI and Production Support via global forums is advantageous.
- Knowledge and experience with solutions hosted on Cloud Service Providers such as AWS, Azure or Google Cloud is mandatory.
- ITIL certification is mandatory. Achieving Practitioner or Intermediate level certifications are preferred
- Solution Architect level certification from any Cloud Service Provider (AWS, Google Cloud or Azure)
- Certifications in AI/ML capabilities of Cloud Service Providers is advantageous.
- Certifications in ServiceNow, Dynatrace, Datadog and other observability / AIOps tools are key.
- Direct liaison with customers at senior levels, including Exec level to pitch AIOps solutions tailored to their needs.
- Work with Cloud Service Provider partners to build an AIOps strategy that works with minimal lead time.
- Build the AIOps capability for the organization by curating training programmes, running guilds as well as providing experiential opportunities for team members.
- Liaise with Delivery teams to provide direction and technical thought leadership on AIOps engagements while ensuring their continued, measurable success.
- Contribute towards R&D and build reusable AIOps assets / accelerators while also ensuring their implementation, packaging, and sale to clients.
- Continuously research and create new offerings as well as capabilities in the realm of AIOps with tangible benefits.
- Contribute to the global community of AIOps experts and SREs.
- Partner with other Competency Heads to architect joint solutions that can use AIOps in their workstreams
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Key Skills
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