Director AIOPS Competency Lead

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.

Qualification:

·       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.

Role & Responsibilities:

·       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