Lead Engineer, Data (Remote, US)

Overview

Lead the combined Risk Data and Risk AI Engineering organization at Allstate, setting technical direction across both teams and ensuring they deliver secure, scalable, reliable and measurable risk data and AI products. Each team is led day-to-day by a Managing Engineer who reports to this role.

What you'll do

• 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 across the organization.
• 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 to ensure 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.

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.

Nice to have

• Experience working in risk, control, compliance, audit, cybersecurity, technology operations, or other regulated environments.
• Experience delivering data and analytics solutions using Microsoft Fabric, Power BI, lakehouse architectures, Python, SQL, cloud data platforms, or similar technologies.
• Experience integrating data from internal platforms, vendor solutions, operational systems, and external sources.
• Experience delivering AI solutions such as natural language capabilities, classification, recommendations, predictive models, or AI-assisted workflows.
• Familiarity with responsible AI practices, including governance, bias assessment, reliability testing, explainability, human oversight, and monitoring.
• Demonstrated success reducing manual processes, reporting, and spreadsheet dependency through automation and reusable data products.
• Experience leading complex cross-functional engineering initiatives spanning multiple teams, products, platforms, and stakeholder groups.
• Proven ability to establish enterprise-wide engineering standards, governance frameworks, and reusable technical patterns.

Details

• Location: Remote, USA (IL).
• Compensation: 151,700.00 - 221,675.00 annually, based on experience and qualifications.
• Background investigation required for the offered candidate.
• Allstate generally does not sponsor individuals for employment-based visas for this position.
• Preferred: 10+ years of relevant experience.