Lead Engineer, Data

Allstate

. Lead the combined Risk Data and Risk AI Engineering organization, providing strategic direction, accountability, and oversight across both teams .

Posted 11/9/2026full-timeRemote • Illinois • United StatesSenior💰 $151,700 - $221,675 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive engineering leadership with a focus on building high-performing teams and driving strategic direction in Risk Data and AI Engineering. Proficient in modern engineering practices, data governance, and delivering scalable technology solutions that align with business objectives.

Highest-signal resume keywords

Engineering LeadershipData EngineeringAI EngineeringCI/CD PracticesStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData EngineeringAnalytics EngineeringAI SolutionsAutomated TestingData Quality ControlsModel EvaluationProduction SupportRisk ManagementCompliance

Soft Skills

Leadership DevelopmentTeam BuildingContinuous ImprovementInfluencing SkillsCommunication

Tools & Technologies

Microsoft FabricPower BICloud Data PlatformsPythonSQLLakehouse Architectures

Industry Keywords

Risk ManagementGovernanceCybersecurityTechnology OperationsRegulated Environments

Tech Stack

Tools & technologies

CloudCyber SecurityPythonSQL

About the role

Key responsibilities & impact

Lead the combined Risk Data and Risk AI Engineering organization, providing strategic direction, accountability, and oversight across both teams
Manage and develop Managing Engineers while building leadership capability and strengthening engineering talent
Translate TORC strategy into engineering roadmaps, delivery plans, measurable goals, and technical priorities
Ensure delivery of trusted, governed, analytics-ready risk data products, dashboards, reporting, automation capabilities, and AI solutions embedded within risk workflows
Align data and AI strategies so AI capabilities are built on reliable, high-quality, governed risk and control data
Establish technical direction across data engineering, analytics, AI engineering, automation, model evaluation, monitoring, and responsible AI practices
Drive engineering excellence through modern development practices, CI/CD, automated testing, observability, data quality controls, production support, and operational resilience
Define and enforce standards for data quality, governance, security, privacy, compliance, access controls, lineage, explainability, validation, and model performance monitoring
Partner with product, risk, control, governance, security, platform, and technology teams to align priorities, manage dependencies, influence adoption, and deliver measurable business outcomes
Provide senior engineering leadership across the Risk Data Team and Risk AI Engineering Team
Shape architecture and engineering practices and ensure strong production ownership
Improve risk insight and control effectiveness, reduce manual effort, and deliver safe, scalable, trusted production capabilities

Requirements

What you’ll need

Significant engineering leadership experience, including leading managers, senior engineers, and multiple delivery teams
Strong background in software engineering, data engineering, analytics engineering, AI engineering, or a related technical discipline
Proven experience building, operating, and supporting scalable, production-grade technology products and platforms
Demonstrated success setting technical direction and translating business strategy into actionable roadmaps, delivery priorities, and measurable outcomes
Strong understanding of modern engineering practices, including CI/CD, automated testing, code quality, observability, production support, security, and resilience
Experience with data platforms, data pipelines, analytics products, reporting automation, governed data products, and AI-enabled solutions
Knowledge of AI, machine learning, large language models, responsible AI, explainability, model evaluation, and AI-assisted workflow design
Strong stakeholder management skills with the ability to influence technical and non-technical audiences across product, engineering, risk, governance, security, and leadership teams
Proven ability to develop leaders, build high-performing teams, drive continuous improvement, and make sound architectural trade-offs across reliability, scalability, security, quality, and speed
Supervisory/people leadership experience required
10+ years of relevant experience preferred
Experience with Microsoft Fabric, Power BI, lakehouse architectures, Python, SQL, cloud data platforms, or similar technologies preferred
Experience in risk, control, compliance, audit, cybersecurity, technology operations, or other regulated environments preferred
Candidate must submit to a background investigation
Allstate generally does not sponsor individuals for employment-based visas for this position
Dedicated, private home workspace free from distractions
Reliable internet with minimum speeds of 50 MB download and 5 MB upload

Benefits

Comp & perks

Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse
Monthly connectivity reimbursement for employees eligible to work from home
Remote work arrangement
Opportunity for professional growth and skills development
Meaningful impact through supporting causes and protection services