Senior Data Security Engineer

Allstate is an insurance company focused on protecting families and their belongings through innovative products and services. The Senior Data Security Engineer will evolve enterprise data protection into an engineering-driven capability by building scalable, automated solutions across cloud, SaaS, endpoint, email, and collaboration environments. The role will modernize DLP and information protection programs through Policy-as-Code, DevSecOps, automation, governance, and measurable security improvements.

Responsibilities:

• Engineer enterprise DLP controls across endpoint, email, SaaS, cloud storage, collaboration platforms, network, and web channels
• Modernize DLP policy deployment by moving from manual console-based changes to version-controlled, automated, and repeatable policy-as-code workflows
• Build CI/CD pipelines for data protection policy lifecycle management, including peer review, automated validation, testing, approval, deployment, and rollback
• Develop reusable policy templates, detection logic, exception patterns, configuration baselines, and deployment standards across multiple DLP and CASB platforms
• Automate operational tasks such as policy promotion, configuration drift detection, control validation, reporting, alert enrichment, and recurring health checks
• Integrate DLP, CASB, data classification, cloud security, identity, SIEM, SOAR, and workflow platforms to improve visibility, response, and enforcement
• Tune detection logic using data-driven analysis to reduce false positives, improve signal quality, and increase confidence in policy enforcement
• Design guardrails for sensitive data usage across Microsoft 365, cloud platforms, source code repositories, collaboration tools, SaaS applications, and enterprise endpoints
• Partner with engineering, cloud, infrastructure, network, compliance, privacy, legal, and business teams to design practical data protection solutions
• Investigate data protection events, identify root cause, recommend control improvements, and convert lessons learned into automated prevention patterns
• Define and maintain metrics, KPIs, dashboards, and control evidence that demonstrate risk reduction, policy effectiveness, deployment quality, and operational maturity
• Support platform upgrades, capability expansions, vendor integrations, and new data protection control patterns using disciplined engineering practices

Requirements:

• 4+ years delivering enterprise Data Protection, Information Protection, Cloud Security, or Security Engineering capabilities within complex organizations
• Proven experience in Policy-as-Code, Security-as-Code, and DevSecOps methodologies, with a demonstrated ability to automate security control deployment and governance at enterprise scale
• Track record of replacing manual operational processes with engineering-driven solutions through automation, APIs, Infrastructure-as-Code, and platform engineering practices
• Advanced knowledge of Data Loss Prevention (DLP), data classification, information protection, and data governance principles
• Hands-on expertise with Microsoft Purview, Microsoft Information Protection, Defender for Cloud Apps, and the Microsoft 365 security ecosystem
• Comprehensive understanding of cloud, SaaS, CASB, and enterprise data protection architectures
• Proficiency in scripting and automation technologies including PowerShell, Python, REST APIs, Terraform, Bicep, YAML, JSON, or comparable tools
• Demonstrated success in modernizing Data Protection, DLP, CASB, or Information Protection programs through automation, standardization, and engineering-driven operating models
• Proven ability to implement and scale DevOps, DevSecOps, or Platform Engineering practices within security organizations
• Track record of leading large-scale security initiatives that improve control effectiveness, operational efficiency, and measurable risk reduction
• Background supporting enterprise-scale cloud, SaaS, or Microsoft 365 environments
• Knowledge of regulatory, privacy, and compliance requirements and their implementation through scalable technical controls