Product Manager - Enterprise AI Operations & Observability

Job Summary

Product Manager - Enterprise AI Operations Observability

Hyderabad, India

Position Type: Full-Time

Level: P4

Position Summary

Eli Lilly is seeking a highly accomplished and hands on technology lead to drive our Enterprise AI Observability platform fuelling our ARE journey. This pivotal role is responsible for defining, implementing, and optimizing observability platform/s, and processes that ensure the reliability, performance, scalability, and security. The ideal candidate will bring deep expertise in driving of system of events end to end lifecycle management, self-serve instrumentation using agentic and automation, with a proven track in complex, large-scale environments. They will also partner closely with the ARE Architects and other platform engineers to execute a cohesive strategy that delivers measurable value across the organization, ensuring alignment between architectural vision and operational excellence.

Key Responsibilities

• Strategic Leadership Governance: Execute and drive forward a comprehensive strategy for enterprise observability.
• Strategic Leadership Governance: Establish governance frameworks, standards, and best practices for deployments.
• Strategic Leadership Governance: Ensure compliance with regulatory, security, and operational requirements.
• AIOps: Drive the adoption of AIOps practices for proactive issue detection, intelligent alerting, root cause analysis, and automated remediation.
• AIOps: Establish and scale practices for secure, efficient, and reliable deployment, observability, and lifecycle management of platform.
• Enterprise Observability: Enhance and maintain a robust observability strategy across infrastructure, applications, networks, security, and data systems.
• Enterprise Observability: Standardize the collection, correlation, and analysis of metrics, logs, and traces across all technology layers.
• Enterprise Observability: Build predictive capabilities and dashboards to anticipate failures and enable proactive interventions.
• Enterprise Observability: Treat observability as a product, continuously iterating to meet evolving business needs.
• Tooling, Platform Management Automation: Evaluate, implement, and manage advanced observability, and AIOps platforms and tools.
• Tooling, Platform Management Automation: Optimize and scale observability of infrastructure for high availability and performance.
• Tooling, Platform Management Automation: Design intuitive, high-value dashboards and alerting systems that clearly visualize system health and performance.
• Tooling, Platform Management Automation: Champion automation using scripting, orchestration tools, and AI-driven solutions to reduce manual effort and enable self-healing systems.
• Tooling, Platform Management Automation: Partner with automation teams to develop and implement automation scripts and workflows.
• Operational Resilience: Ensure high availability and resilience of mission-critical systems, especially AI/ML workloads.
• Operational Resilience: Collaborate closely with the Service Management Office and production support teams to drive impactful outcomes and elevate operational success
• Operational Resilience: Enable methods to reduce mean time recovery (MTTR) and drive continuous operational improvements.
• Performance Reliability Optimization: Utilize observability data to identify performance bottlenecks, capacity issues, and reliability risks.
• Performance Reliability Optimization: Work with relevant teams to implement improvements based on data-driven insights.
• Performance Reliability Optimization: Establish and execute performance strategy benchmarks utilizing baselines and KPIs.
• Team Leadership Enablement: Build, mentor, and lead a high-performing team of engineers and specialists in AIOps.
• Team Leadership Enablement: Provide training and documentation to operational teams on leveraging observability platforms for troubleshooting and performance tuning.
• Team Leadership Enablement: Foster a culture of innovation, continuous learning, and operational excellence.
• Cross-Functional Collaboration: Collaborate with engineering, data science, infrastructure, cybersecurity, and business teams to operationalize AI initiatives and ensure comprehensive observability coverage.
• Cross-Functional Collaboration: Serve as a subject matter expert to understand and deliver tailored observability solutions across teams.
• Budget Vendor Management: Manage departmental budgets and vendor relationships to deliver cost-effective, scalable solutions.

Qualifications

Required

• Bachelors or masters degree in computer science, Engineering, IT, or a related field.
• 15+ years of progressive technology experience, including 5-7 years in enterprise operations, ARE/SRE and AI operations.
• Deep understanding of the lifecycle, including development, deployment, observability, and retraining.
• Proven experience with enterprise observability across hybrid environments.
• Expertise in AIOps principles and implementation.
• Proficiency with leading observability and MLOps tools and platforms.
• Strong knowledge of cloud platforms, containerization, and microservices.
• Excellent leadership, communication, and stakeholder management skills.
• Demonstrated ability to build and lead high-performing engineering teams.
• Strong analytical and data-driven decision-making skills.
• Monitoring/Observability: OpenTelemetry, Splunk, Datadog, Dynatrace, Prometheus, Grafana - PLGJ stack
• Infrastructure: Kubernetes, AWS, Azure, VMware, OpenShift
• Data Knowledge: ServiceNow
• Agentic AI: MCP, REST APIs
• Automation Runbooks: Ansible, Terraform, Python, GitHub
• Governance: Jira
• Preferred
• Experience in regulated industries (e.g., healthcare, finance).
• Certifications in cloud platforms or operational frameworks (e.g., ITIL).
• Active participation in AIOps or MLOps professional communities.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.