Data Security Lead

S&P Global
Hyderabad
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceExperience: 10+ yearsSkills: ["Leadership","Mentoring","Cross-functional collaboration"]

Lead enterprise IP/data security engineering by designing, implementing, and operating scalable security capabilities for discovery, classification, access monitoring, and protection controls across cloud, on-prem, SaaS, and third-party environments. Build data pipelines for continuous discovery and tagging, integrate with IAM/cloud and security ecosystems, and govern AI data consumption. Oversee day-to-day technical execution, mentor a team of engineers, and partner with cloud, data, AI, and legal stakeholders to safeguard proprietary assets and respond to incidents.

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FursaFursa
S&P Global
S&P Global
1 month ago

Data Security Lead

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Source: Company careers pageValidated by: Fursa AI
Last checked: 25 days agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Lead enterprise IP/data security engineering by designing, implementing, and operating scalable security capabilities for discovery, classification, access monitoring, and protection controls across cloud, on-prem, SaaS, and third-party environments. Build data pipelines for continuous discovery and tagging, integrate with IAM/cloud and security ecosystems, and govern AI data consumption. Oversee day-to-day technical execution, mentor a team of engineers, and partner with cloud, data, AI, and legal stakeholders to safeguard proprietary assets and respond to incidents.
Location: Hyderabad
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Manager level

Key Responsibilities

  • •Design, deploy, and operate data security platforms for discovery, classification, and monitoring across varied environments.
  • •Implement DSPM capabilities and ensure reliability, scalability, and integration with the broader security ecosystem.
  • •Build and run pipelines to identify where data resides and keep automated classification/tagging continuously updated.
  • •Integrate data security tools with IAM/cloud/data platforms to monitor access and detect over-permissioned access, stale entitlements, and anomalous usage.
  • •Lead, mentor, and grow a team while partnering with architecture, cloud, data, AI platform teams, SOC/IR, and other stakeholders to translate requirements into engineering solutions and support incident response.

Pay and Benefits

Perks:Health InsurancePaid LeaveLearning BudgetRetirement

Key Requirements

  • •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 (AWS, Azure, GCP) and data services.
  • •Experience integrating security platforms with IAM, logging, SIEM, and SOAR.
  • •Practical experience supporting AI/ML platforms and data pipelines, including familiarity with IP protection techniques (watermarking/tagging).
Experience:10+ yearsSecurity engineeringData securityPlatform security
Skills:LeadershipMentoringCross-functional collaboration
Certifications:CISSPCCSP
Tech Stack:AWSAzureGCPIAMSIEMSOARPythonGoDLPCASBEncryptionKey managementDSPMCyeraWiz DSPMBigIDData pipelinesData classificationData monitoringWatermarking

Company Brief

S&P Global
Provides financial information, analytics, benchmarks, and credit ratings to markets and institutions worldwide, offering data, research, indices, and risk assessment tools across the financial services and commodities sectors.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 1917
WebsiteLinkedIn