Data Security Architect

About the Role

Grade Level (for internal use): 12

The role: Data Security Architect

Key Responsibilities

• Data Discovery & Visibility: Design and implement enterprise-wide mechanisms to discover where data resides across on-premises, cloud, SaaS, data lakes, and third-party environments; establish and maintain an authoritative data inventory covering structured and unstructured data.

• Data Classification & Sensitivity: Define and enforce standards to identify and classify data types, including confidential, regulated, proprietary, and intellectual property data; ensure classification scales across diverse data sources and platforms.

• Data Source & Lineage Governance: Identify and document data sources, data flows, and data lineage across systems; assess risk associated with data movement, duplication, and exposure.

• AI & Data Consumption Risk: Assess and govern how data is consumed by AI agents, ML models, and analytics platforms; evaluate risks associated with training data, inference data, prompts, and outputs; define controls to prevent unauthorized use of sensitive or IP data in AI workflows.

• Intellectual Property Protection: Evaluate and implement IP protection mechanisms, including data watermarking, tagging, and fingerprinting; ensure safeguards are in place to prevent data exfiltration, misuse, or IP leakage.

• Security Architecture & Controls: Define data protection architecture aligned with least privilege, zero trust, and defense-in-depth principles; partner with IAM, cloud security, and application teams to enforce access controls; drive integration with DSPM, DLP, encryption, and monitoring solutions.

• Risk, Compliance & Governance: Translate regulatory, legal, and contractual requirements into actionable data protection controls; support audits, risk assessments, and incident response with defensible data intelligence; establish metrics and reporting for data risk posture.

• Leadership & Collaboration: Serve as a trusted advisor to engineering, data, legal, privacy, and AI teams; lead architectural reviews and influence platform design decisions; mentor junior architects and security engineers.

Required Qualifications

• 13-15 years of experience in data security, information protection, security architecture, or related roles

• Deep expertise in data discovery, classification, and access governance

• Strong understanding of cloud data platforms (AWS, Azure, GCP) and SaaS ecosystems

• Hands-on experience with DSPM, DLP, encryption, or data governance tools

• Solid understanding of AI/ML data pipelines and AI risk management

• Experience implementing IP protection techniques, including watermarking or tagging

• Strong knowledge of regulatory frameworks (GDPR, SOX, privacy, IP protection)

• Ability to translate complex technical risks into business-level insights

Preferred Qualifications

• Experience working with DSPM platforms (e.g., Cyera, Wiz DSPM, BigID)

• Familiarity with secure AI adoption frameworks

• Background in financial services or regulated industries

• Architecture certifications (e.g., CISSP, CCSP, cloud security certs)

Compensation & Benefits

Compensation information: S&P Global states that the anticipated base salary range for this position is $143,000 - $205,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role.

In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.

This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here () .

What's In It For You

Our Mission: Advancing Essential Intelligence.

Our People: We're 35,000+ strong worldwide, driven by curiosity and a belief that Essential Intelligence can help build a more prosperous future. We're committed to a more equitable future and helping our customers find sustainable ways of doing business.

Our Values: Integrity, Discovery, Partnership. We collaborate with customers to achieve shared goals.

Benefits

Our benefits include:

• 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 resources to grow your career and learn valuable new skills.

• Invest in Your Future: Competitive pay, retirement planning, continuing education with a company-matched student loan contribution, and financial wellness programs.

• Family Friendly Perks: Perks for partners and children, with best-in-class benefits for families.

• Beyond the Basics: Retail discounts and referral incentives.

For more information on benefits by country visit:

Compliance & Legal

Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment delivery. Review our guidelines and report suspicious activity here ().

Equal Opportunity Employer: S&P Global is an equal opportunity employer and all qualified candidates will receive consideration without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, veteran status, unemployment status, or any other status protected by law. Electronic submissions only. For accommodations during the application process, email .

US Candidates Only: The EEO is the Law Poster and Pay Transparency notices. Pay transparency nondiscrimination provisions apply.

Job ID: 324421

Posted On: 2026-01-13

Location: Princeton, New Jersey, United States