S

S&P Global

Delivers credit ratings, market data, indices

Data Security Lead

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of experience in security engineering, data security, or platform security.
  • Hands-on experience implementing data discovery, classification, and monitoring solutions.
  • Deep expertise in cloud platforms, including AWS, Azure, and GCP, and data services.
  • Experience integrating security platforms with identity and access management, logging, security information and event management, and security orchestration, automation, and response.
  • Practical experience supporting artificial intelligence and machine learning platforms and data pipelines.
  • Familiarity with intellectual property protection techniques, including watermarking or tagging.
  • Strong scripting or programming skills in Python, Go, or a similar language.
  • Experience operating production security platforms at scale.

Responsibilities

  • Design, deploy, and operate data security platforms supporting discovery, classification, and monitoring.
  • Implement enterprise-scale data security posture management capabilities across cloud, on-premises, software-as-a-service, and third-party environments.
  • Ensure platforms are reliable, scalable, and integrated with the broader security ecosystem.
  • Build and operate pipelines to identify where data resides across structured and unstructured sources.
  • Implement automated data classification and tagging aligned with enterprise standards.
  • Ensure continuous discovery and reclassification as data changes.
  • Integrate data security tools with identity and access management, cloud services, and data platforms.
  • Monitor and surface who has access to data, including privileged, service, and artificial intelligence identities.
  • Detect over-permissioned access, stale entitlements, and anomalous data usage.
  • Implement controls to monitor and govern data used by artificial intelligence agents, machine learning models, and training pipelines.
  • Instrument visibility into data flows supporting artificial intelligence prompts, training, inference, and outputs.
  • Partner with artificial intelligence platform teams to enforce approved data usage patterns.
  • Implement intellectual property protection mechanisms, including data watermarking, tagging, fingerprinting, and metadata controls.
  • Integrate intellectual property protections into data pipelines and artificial intelligence workflows.
  • Support detection and response to potential intellectual property leakage events.
  • Operate and tune detection mechanisms for data exposure and misuse.
  • Support security incident investigations by rapidly identifying impacted data and access paths.
  • Partner with security operations center and incident response teams to automate alerts and response workflows.
  • Lead, mentor, and grow a team of data security engineers.
  • Establish engineering standards, coding practices, and operational runbooks.
  • Drive automation to reduce manual effort and improve consistency.
  • Partner with data security architects, cloud security, identity and access management, privacy, legal, and artificial intelligence teams.
  • Translate architectural requirements into deployable engineering solutions.
  • Provide technical input into roadmap planning and platform evaluations.

Desired Qualifications

  • Experience with data security posture management platforms such as Cyera, Wiz DSPM, or BigID.
  • Background in regulated industries, including financial services or data providers.
  • Knowledge of data loss prevention, cloud access security broker tools, encryption, and key management.
  • Security or cloud certifications, including Certified Information Systems Security Professional, Certified Cloud Security Professional, or cloud provider certifications.

About the Company

S&P Global

Delivers credit ratings, market data, indices

S&P Global provides financial information and analytics for investors, corporations, and governments, including credit ratings, market data, and indices. It compiles large financial data, conducts research, and offers analytics, ratings, and benchmarks accessed via subscriptions, licenses, or transaction-based services. The company differentiates itself with an integrated suite that covers ratings, data, analytics, indices, and ESG solutions across global markets, backed by well-known brands. Its goal is to help clients make informed decisions, manage risk, and drive growth while prioritizing corporate responsibility.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1917

Recently Posted Jobs

Explore more opportunities at S&P Global

See more jobs