AIOps & Automation Lead

Capgemini is seeking a Director who will manage the end-to-end lifecycle of AIOps and automation projects from ideation, design, development, testing, deployment, to monitoring and optimization.

Key roles and responsibilities include:

Develop and implement AIOps strategies to enhance IT operations, including proactive insights, predictive analytics, and incident management automation.
Lead and mentor a team of AIOps and automation engineers and analysts, providing guidance, feedback, and coaching.
Lead the design, development, and deployment of automation solutions to streamline repetitive tasks, improve scalability, and reduce manual intervention.
Collaborate with cross-functional teams to identify automation opportunities, define requirements, and prioritize initiatives based on business impact.
Evaluate, select, and integrate automation tools and technologies to optimize performance, reliability, and maintainability.
Establish best practices, standards, and governance frameworks for AIOps and automation processes.
Provide technical leadership and mentorship to team members, fostering a culture of innovation, continuous learning, and collaboration.
Stay abreast of emerging trends, tools, and technologies in AIOps and automation, and recommend solutions to drive continuous improvement.
Develop metrics, dashboards, and reports to measure the effectiveness of AIOps and automation initiatives and provide regular updates to stakeholders.
Measure and report on the performance, benefits, and ROI of AIOps and automation solutions, and communicate them to senior management and stakeholders.

Bachelor's degree or higher in Computer Science, Engineering, or related field.
Minimum of 16 years of experience in IT operations, with at least 5 years of hands-on experience in AIOps and automation.
Proven track record of leading and delivering successful AIOps and automation projects, using agile methodologies and frameworks.
Expertise in AIOps and automation technologies, tools, and platforms, ex. leading AIOPS platforms such as VERTEX, Splunk , Datadog, New Relic etc.
Extensive experience with automation tools such as Ansible, vRO etc.
Strong understanding of AIOps principles, methodologies, and best practices.
Proficiency in scripting and programming languages such as Python, Bash, or PowerShell.
Solid understanding of IT infrastructure components, including servers, networks, storage, and cloud platforms.
Proven track record of leading large-scale automation projects from inception to delivery.

This person should be motivated to deliver high-quality work to drive customer satisfaction. They use their intellect, insight, and ability to build creative solutions with clients and colleagues while embracing a collaborative mindset. Key qualifications include:

• Strong customer orientation, decision making, problem solving, communication and presentation skills
• Very good judgement skills and ability to shape compelling solutions and solve unstructured problems with assumptions
• Good collaboration skills and ability to interact with multi-cultural and multi functional teams spread across geographies