Key skills
AI enablement servicesSecurity Operations Data PlaneSecurity tooling ecosystemEngineering standards for secure softwareTest-driven development (TDD)CI/CD practicesProduction system operationsLog/telemetry pipelinesSchema governanceData normalization and enrichmentQuery-driven analyticsCloud-native logging and analytics platformsTime-series and log query languagesData ingestion and transformationAPI integration contractsAutomation of configurationLeast-privilege access controlsEvidence logging and auditabilityRisk, privacy, and compliance assessmentStakeholder influenceCoachingAIAgenticAnalyticsCI/CDLeadership
About this role
Allstate is a leading insurance company that focuses on protecting families and their belongings. They are seeking a Director of Engineering to lead the AI, Data, and Security Tooling Ecosystem, responsible for defining technical standards and ensuring the reliability and security of AI-enabled services and data operations.
Responsibilities:
- Ecosystem architecture and technical strategy: Define reference architecture, technical standards, and reusable primitives for AI enablement services, the Security Operations Data Plane, and ecosystem integrations
- Engineering excellence and delivery discipline: Establish standards for code quality, test-driven development, availability, and secure software engineering practices
- Agentic safety and governance-by-design: Engineer guardrails for AI-assisted and agentic workflows (bounded actions, least privilege, evidence logging, observability, auditability) and ensure secure-by-default configurations
- Security Operations Data Plane engineering: Ensure ingestion, transformation, schema discipline, enrichment, and analytics readiness are engineered for reliability, performance, and defensible operations
- Tooling readiness and lifecycle stewardship: When tooling operation is required, define integration contracts (APIs, schemas, telemetry, access controls), automate configuration, and ensure tooling adheres to ecosystem standards and monitoring
- Reliability, incident readiness, and continuous improvement: Ensure platform services and operated tooling have runbooks, health signals, and repeatable remediation patterns
- Coaching and technical leadership: Coach engineers, provide technical oversight, and serve as escalation point for complex design decisions and cross-product tradeoffs
Requirements:
- Experience: 7–10 years of relevant new product or technology development experience in a fast-paced environment, with demonstrated experience shipping software and managing complex integrations
- Education: Undergraduate degree in engineering, computer science, marketing, or related business degree; MBA/MIS/MS desired
- Proven ability to lead cross-product technical strategy and influence senior stakeholders on complex design decisions
- Strong hands-on experience establishing CI/CD practices and operating production systems with accountability to KPIs/outcomes
- Security data and analytics engineering: log/telemetry pipelines, schema governance, normalization/enrichment, and query-driven analytics concepts
- Cloud and data platform familiarity: experience with cloud-native logging/analytics platforms, time-series/log query languages, and data ingestion/transformation patterns
- Automation and platform engineering: reusable libraries/services and developer enablement through paved roads/golden paths
- Agentic AI secure-by-design practices: least-privilege tool access, restricted interactions, resilience to manipulation, evidence logging / explainability expectations
- Risk, privacy, and compliance alignment: experience partnering with risk/legal/privacy stakeholders on assessment processes for AI-enabled capabilities and regulated data handling