Data Security Lead

This job is with S&P Global, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

About the Role:

Grade Level (for internal use):
11  S&P Global Corporate

About the Role:

Data Security Lead
The Team:  The IP Security team safeguards S&P Global's proprietary assets-source code, models, datasets, design artifacts, architecture, and know‑how across applications and infrastructure. We set the standards, controls, and guardrails that prevent leakage, misuse, or unauthorized commercialization of intellectual property, and we enable product teams to innovate quickly while staying compliant with enterprise policy and regulatory obligations.
Responsibilities and Impact:  The Data Security Engineering Lead - Intellectual Property (IP) is accountable for designing, implementing, and operating S&P Global's enterprise capabilities for protecting intellectual property. This role converts the IP security architecture into scalable, resilient engineering solutions that provide deep visibility into where critical data and IP artifacts reside, what type of data they represent, how they are accessed, and how they are utilized across applications and AI systems.
The Engineering Lead oversees the day‑to‑day technical execution of IP discovery, classification, access monitoring, and protection controls. The role includes leading a team of engineers and partnering closely with architecture, cloud, data, and AI platform teams to ensure comprehensive and consistent safeguarding of the company's intellectual property.

What We're Looking For:

Engineering & Platform Implementation
Lead the design, deployment, and operation of  data security platforms  supporting discovery, classification, and monitoring

Implement enterprise-scale  DSPM capabilities  across cloud, on-prem, SaaS, and third-party environments

Ensure platforms are reliable, scalable, and integrated with the broader security ecosystem

Data Discovery & Classification Execution
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

Data Sources & Access Monitoring
Integrate data security tools with  IAM, cloud services, and data platforms

Monitor and surface  who has access to data , including privileged, service, and AI identities

Detect over-permissioned access, stale entitlements, and anomalous data usage

AI Data Consumption Controls
Implement controls to monitor and govern  data used by AI agents, ML models, and training pipelines

Instrument visibility into data flows supporting AI prompts, training, inference, and outputs

Partner with AI platform teams to enforce approved data usage patterns

Intellectual Property (IP) Protection Engineering
Implement  IP protection mechanisms , including data watermarking, tagging, fingerprinting, and metadata controls

Integrate IP protections into data pipelines and AI workflows

Support detection and response to potential IP leakage events

Operational Security & Incident Response
Operate and tune detection mechanisms for  data exposure and misuse

Support security incident investigations by rapidly identifying impacted data and access paths

Partner with SOC and IR teams to automate alerts and response workflows

Engineering Leadership
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

Cross-Functional Collaboration

Partner with Data Security Architects, Cloud Security, IAM, Privacy, Legal, and AI teams

Translate architectural requirements into deployable engineering solutions

Provide technical input into roadmap planning and platform evaluations

Basic

Required Qualifications:

10+ years  of experience in security engineering, data security, or platform security

Strong hands-on experience implementing  data discovery, classification, and monitoring solutions

Deep expertise in  cloud platforms  (AWS, Azure, GCP) and data…