At a Glance
- Tasks: Lead the AIOps product roadmap and drive enterprise operational improvements.
- Company: Join S&P Global, a leader in essential intelligence and innovation.
- Benefits: Enjoy health coverage, flexible time off, and continuous learning opportunities.
- Other info: Be part of a diverse team committed to equity and innovation.
- Why this job: Make a real impact on IT operations with cutting-edge AI technology.
- Qualifications: 10+ years in product management or related tech roles required.
The predicted salary is between 80000 - 100000 £ per year.
About the Role:
The AIOps team is responsible for S&P Global'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.
- Present roadmap progress, risks, decisions, and outcome metrics to senior stakeholders to influence improvements to tooling, workflow, and the operating model.
- Analytical and data-driven mindset with strong problem-solving, prioritization, and decision-making skills.
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.
Benefits:
- 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.
Equal Opportunity Employer: S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.
Lead Product Manager AIOPs employer: SwiftCruit
At Global, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. As a Senior Machine Learning Engineer, you'll not only have the opportunity to influence millions through cutting-edge AI solutions but also benefit from a culture that encourages professional growth, cross-functional partnerships, and the development of reusable engineering standards. With a commitment to employee development and a focus on impactful projects, Global is the ideal place for those seeking meaningful and rewarding careers in data science and machine learning.
