Senior Engineer (Sr. Data Security Analyst)
New
Source API remote eligibility restrictions: United StatesFull-TimeSenior
Salary153,000 - 166,000 USD per year
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Job Details
- Experience
- 5+ years of experience
- Required Skills
- AWSPythonCybersecurityAzureData science
Requirements
- 5+ years of experience in data security, cybersecurity, or information protection roles, ideally in mid- to large-scale environments, with a strong understanding of how data is collected, used, and protected across complex ecosystems
- Proven ability to leverage AI/ML or advanced analytics to uncover hidden risks, reduce false positives, and guide security decision-making.
- Experience building AI-driven agents or automation scripts to accelerate DLP scans and/or investigations, prioritize alerts, or enrich incident data with contextual insights (Python experience is preferred)
- Hands-on expertise with data protection and governance tools and familiarity with leveraging these tools for data discovery, classification, and analytics
- Strong working knowledge of security principles including data classification, access control, encryption, tokenization, and privacy-by-design, with the ability to apply these concepts through a data-driven lens
- Experience working with AWS and Azure data sources, including the ability to analyze data flows and monitor risks to the data in cloud-native environments
- Experience conducting investigations into data loss, insider threats, or anomalous access behaviors using SIEM or endpoint security tools, and enhancing detection through behavioral analysis or anomaly detection models
- Excellent communication and collaboration skills, including the ability to translate technical findings for non-technical stakeholders and work cross-functionally across security, legal, IT, and data teams
- Strong organizational and analytical skills, with the ability to derive insights from large or complex datasets to inform security decision-making
Responsibilities
- Define, implement, and maintain data classification, handling, and access control policies and standards across cloud and on-prem environments, leveraging data analytics to ensure policies address current threats.
- Configure and tune DLP tools, DSPM, CASB, and cloud-native security controls to detect and prevent exfiltration of sensitive data or models, using statistical and machine learning techniques to optimize detection thresholds and reduce false positives.
- Map and inventory sensitive data using security tools and support automated tagging to better inform security controls and data lifecycle management.
- Monitor data security alerts and anomalies supported by College Board’s security tools.
- Triage data-related security events, interfacing with data custodians and escalating to the Cyber Defense Team as needed, leveraging behavioral analytics to improve prioritization.
- Assist Cyber Defense in DLP investigations, utilizing forensic and data mining techniques to support root cause analysis.
- Work with Legal, Privacy, and Data Governance teams to align data protection practices with policies and laws.
- Support regulatory and internal compliance needs related to data handling and privacy laws by providing evidence or information to Privacy or GRC as requested.
- Deliver regular data security related reporting and metrics, incorporating trends, KPIs, and predictive indicators that highlight risks and drive continuous improvement.
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