[Hiring] Lead Engineer, Data @Allstate

Role Description

The Lead Engineer will provide senior engineering leadership across two strategic teams: the Risk Data Team and the Risk AI Engineering Team. This role is accountable for setting technical direction, aligning engineering execution to business outcomes, and ensuring both teams deliver secure, scalable, reliable and measurable risk products.

• The Risk Data Team creates the trusted data foundation for risk management by transforming fragmented risk and control data into reliable, accessible and actionable information.
• The Risk AI Engineering Team designs and delivers secure, explainable and responsible AI capabilities within risk products.
• Each team will be led day-to-day by a Managing Engineer, who will report to the Lead Engineer.
• The Lead Engineer is responsible for leading a multi-team engineering function that brings together risk data, analytics, automation and AI capabilities.
• Success in this role will be measured by the quality, reliability and adoption of the data and AI products delivered.

Qualifications

• 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.

Requirements

• 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.

Education & Experience

• 10+ years of relevant experience preferred.
• Supervisory/people leadership experience required.

Compensation

Compensation offered for this role is 151,700.00 - 221,675.00 annually and is based on experience and qualifications.