# AIOps Product Manager

**Company**: S&P Global
**Location**: London
**Experience**: senior
**Job type**: full-time
**Category**: Product Management
**Industry**: Technology

**Apply**: https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/London-UK/Lead-Product-Manager-AIOPs_329276-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_78c3b6d3-f9a

## Description

## About the Role:

The AIOps team at S&P Global is responsible for the company's enterprise AIOps platform and strategy, driving the modernization of IT Operations and Site Reliability Engineering (SRE) through intelligent observability, event intelligence, automation, and AI-driven insights.

## Responsibilities and Impact:

- Own and execute the AIOps product roadmap, aligning priorities with enterprise reliability goals, operational maturity, adoption targets, and measurable business outcomes.

- Translate operational needs into clear product requirements, use cases, user stories, acceptance criteria, and prioritized backlog items across the AIOps product lifecycle.

- Ownership of high-impact AIOps capabilities, including noise reduction, event management, correlation, anomaly detection, root cause analysis, predictive alerting, and self-healing remediation.

- Partner across Operations, infrastructure, SRE, platform engineering, service management, application teams, security, and vendors to operationalize AIOps capabilities and drive adoption at enterprise scale.

- Define and track success metrics for alert quality, incident reduction, MTTD, MTTR, service health, automation coverage, platform adoption, and operational efficiency.

## What We're Looking For:

### Basic Required Qualifications:

- 10+ years of experience in product management, IT operations, SRE, observability, platform engineering, or related enterprise technology roles.

- Strong understanding of AIOps concepts, including event correlation, anomaly detection, root cause analysis, noise reduction, predictive analytics, and automated remediation.

- Experience defining product roadmaps, managing requirements and backlog priorities, and delivering technical platform capabilities across the product lifecycle.

- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.

- Machine Learning: Expertise in time-series forecasting, clustering, and correlation algorithms.

- Generative AI: Experience with LLM prompting, Retrieval-Augmented Generation (RAG), and LangChain.

- Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure components.

### Additional Preferred Qualifications:

- Experience with enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic, or similar platforms.

- Familiarity with cloud-native platforms, Container orchestration systems, distributed systems, service mapping, and telemetry standards.

- Experience defining KPIs, SLOs, product adoption measures, and operational maturity frameworks for enterprise reliability and service performance.

- Relevant certifications in product management, cloud, ITSM, observability, Agile, or platform engineering are a plus.

## What's In It For You:

- Health & Wellness: Health care coverage designed for the mind and body.

- Flexible Downtime: Generous time off helps keep you energized for your time on.

- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

- Beyond the Basics: From retail discounts to referral incentive awards,small perks can make a big difference.

## Skills

### Required
- AIOps
- Machine Learning
- Generative AI
- Cloud Infrastructure
- Event Correlation
- Anomaly Detection
- Root Cause Analysis

### Nice to have
- ServiceNow ITOM
- Splunk
- Dynatrace
- Datadog
- BigPanda
- New Relic
- Cloud-Native Platforms
- Container Orchestration Systems

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Source: [Apply at spgi.wd5.myworkdayjobs.com](https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/London-UK/Lead-Product-Manager-AIOPs_329276-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)