Product Manager – Enterprise AI Operations & Observability

Eli Lilly and Company; Hyderabad; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Eli Lilly and Company in Hyderabad, India is seeking a senior technology leader to drive our Enterprise AI Observability platform and ARE strategy. This role defines, implements, and optimizes observability practices ensuring reliability, performance, and security across large-scale environments.

The ideal candidate brings deep experience in end-to-end event lifecycle management, self-serve instrumentation, and collaboration with ARE Architects and platform engineers to deliver measurable value.

Qualifications

• 15+ years of progressive technology experience, including 5–7 years in enterprise operations, ARE/SRE and AI operations.
• Deep understanding of 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.

Responsibilities

• Develop and drive a comprehensive enterprise observability strategy.
• Establish governance frameworks, standards, and best practices for deployments.
• Ensure regulatory, security, and operational compliance.
• Lead AIOps adoption for proactive detection, intelligent alerting, and automated remediation.
• Scale deployment and lifecycle management of observability platforms.
• Maintain a robust observability program across infra, apps, networks, security, and data systems.
• Design dashboards and alerting that clearly visualize system health and performance.
• Champion automation to enable self-healing systems and reduce manual effort.
• Collaborate with cross-functional teams to operationalize AI initiatives.
• Manage budgets and vendor relationships for scalable solutions.

Skills

Leadership

Stakeholder management

Cloud platforms

Containerization

Microservices

AIOps

Observability

Automation scripting

Education

Bachelor's or Master's degree in CS/Engineering/IT

Tools

OpenTelemetry

Splunk

Datadog

Dynatrace

Prometheus

Grafana

Kubernetes

AWS

Azure

VMware

OpenShift

ServiceNow

MCP

REST APIs

Ansible

Terraform

Python

GitHub

Jira

Job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

Product Manager – Enterprise AI Operations & Observability

Department: Tech@Lilly
Location: 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
• Establish governance frameworks, standards, and best practices for deployments.
• 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.
• 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.
• Standardize the collection, correlation, and analysis of metrics, logs, and traces across all technology layers.
• Build predictive capabilities and dashboards to anticipate failures and enable proactive interventions.
• 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.
• Optimize and scale observability of infrastructure for high availability and performance.
• Design intuitive, high-value dashboards and alerting systems that clearly visualize system health and performance.
• Champion automation using scripting, orchestration tools, and AI-driven solutions to reduce manual effort and enable self-healing systems.
• 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.
• Collaborate closely with the Service Management Office and production support teams to drive impactful outcomes and elevate operational success
• 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.
• Work with relevant teams to implement improvements based on data-driven insights.
• 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
• Provide training and documentation to operational teams on leveraging observability platforms for troubleshooting and performance tuning.
• 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.
• 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

• Bachelor's or master's 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

Open Telemetry, 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.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request a accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

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