Lead Engineer, Data (Remote, US)
About The Position
The Lead Engineer provides senior engineering and people leadership across Allstate’s Risk Data Team and Risk AI Engineering Team. The role sets technical direction, aligns engineering execution with business outcomes, and ensures both teams deliver secure, scalable, reliable, measurable, and production-ready risk products. Day-to-day leadership of each team is provided by a Managing Engineer, who reports to the Lead Engineer. The Risk Data Team builds a trusted data foundation for risk management by transforming fragmented risk and control data into reliable, accessible, and actionable information. Its work includes governed data products, integrations with internal and external data sources, automated validation and reconciliation, dashboards and reporting, common metrics and quality standards, and reducing reliance on manual reporting. The Risk AI Engineering Team designs and delivers secure, explainable, and responsible AI capabilities within risk products. Its work includes reusable AI capabilities, high-value use cases, AI-assisted workflows, natural language, classification, recommendation, and predictive features, as well as human review, model evaluation, monitoring, and continuous improvement. The Lead Engineer guides Managing Engineers, shapes architecture and engineering practices, ensures strong production ownership, and partners with TORC, product, risk, control, governance, security, platform, and technology teams. The role aligns data and AI strategies so AI capabilities are built on reliable, high-quality, governed risk and control data. Success is measured by product quality, reliability, and adoption; improved risk insight and control effectiveness; reduced manual effort; strong engineering health; and the teams’ ability to deliver safe, scalable, trusted production capabilities.
Requirements
- 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 and 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, and drive continuous improvement.
- Supervisory/people leadership experience required.
- 10+ years of relevant experience preferred.
Nice To Haves
- 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.
Responsibilities
- Lead the combined Risk Data and Risk AI Engineering organization, providing strategic direction, accountability, and oversight across both teams.
- Manage and develop Managing Engineers, build leadership capability, and strengthen 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 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.
- Guide architecture and engineering practices, ensure production ownership, and make architectural trade-offs across reliability, scalability, security, quality, and speed.
Benefits
- Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.
- Monthly connectivity reimbursement for employees eligible to work from home.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
