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.

DTS Platform & Tools – Service Enablement: We serve as thought leaders in AIOps, partnering across IT Operations, SRE, engineering, infrastructure, service management, and application teams to solve enterprise operational challenges. Our mission is to improve reliability, reduce operational complexity, optimize technology investments, and enable more proactive and resilient technology operations by applying AI.

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.

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: Generative AI: Experience with LLM prompting, Retrieval-Augmented Generation (RAG), and LangChain.
- Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure components

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.

Advancing Essential Intelligence.

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Throughout our history,



the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

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

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

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.

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

At S&P; Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. Recruitment Fraud Alert

S&P; Global never requires any candidate to pay money for job applications, interviews, offer letters, 'pre-employment training' or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

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. If you need an accommodation during the application process due to a disability, please send an email to:[HIDDEN TEXT]and your request will be forwarded to the appropriate person.

202 - Middle Skilled (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.

📌 Lead Manager, Product Management (Gurugram)
🏢 S&P Global
📍 Gurugram