Information Security professional managing governance, audit, and compliance in banking domain. Collaborating across teams to enhance security posture and control effectiveness.
About the role
- Data Security Architect responsible for data discovery, classification, and protection at S&P Global. Leading efforts on data governance while mentoring engineers and architects.
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.
Requirements
- 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.
Benefits
- 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 a wealth of resources to grow your career and learn valuable new skills.
- 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.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
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