Product Manager – Enterprise AI Operations & Observability

540 Eli Lilly Services India Pvt Ltd – Hyderabad; Hyderabad; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Lilly seeks a Product Manager for Enterprise AI Operations & Observability in Hyderabad, India. The role focuses on building a scalable observability product, driving AIOps adoption, and governing deployments across hybrid environments.

You will lead a team of engineers and collaborate with data science, security, and infrastructure teams to deliver proactive, data-driven insights and reliable platform performance at scale.

Qualifications

• 15+ years of progressive technology experience, including 5–7 years in enterprise operations, ARE/SRE and AI operations.
• Proven leadership in building and scaling observability and AI-driven platforms.
• Deep understanding of lifecycle from development to retraining in hybrid environments.
• Strong governance, security, regulatory, and performance benchmarks.
• Experience with cloud-native architectures and microservices.
• Proficiency in orchestration tools and automation scripting.

Responsibilities

• Execute and drive a comprehensive strategy for enterprise observability.
• Establish governance frameworks, standards, and best practices for deployments.
• Ensure compliance with regulatory, security, and operational requirements.
• Lead adoption of AIOps for proactive issue detection, automated remediation.
• Build and maintain dashboards to predict failures and optimize performance.
• Collaborate across teams to operationalize AI initiatives and observability.

Skills

Leadership

Strategic thinking

Stakeholder management

Data-driven decisions

Cloud platforms & architecture

Education

Bachelor’s or Master’s in CS/Engineering/IT

Tools

OpenTelemetry

Splunk

Datadog

Dynatrace

Prometheus

Grafana

Kubernetes

AWS

Azure

OpenShift

Terraform

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

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 an 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.

#WeAreLilly At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people. We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe! #WeAreLilly