Managing Engineer - Risk Insights and Risk Engineering (Remote, US)

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Risk Engineering and Risk Insights collectively design, build, and operate data-driven and software-based risk and compliance solutions that integrate into the SDLC and enterprise platforms. The teams apply modern engineering practices to deliver scalable data pipelines, automation, dashboards, and embedded control capabilities that enable TORC to understand risk, drive control-led behaviors, and make timely, evidence-based decisions. The Managing Engineer is a hands-on engineering leader responsible for leading teams that build, deliver, and operate these products in production. This role blends strong technical leadership, people leadership, and delivery ownership, ensuring high-quality, reliable solutions with measurable business and engineering impact.

1: Managing Engineer - Risk Insights Key Responsibilities Lead and manage a team delivering data products, ETLs, Python automations, dashboards, and reporting solutions Set technical direction across data ingestion, transformation, automation, and visualization Contribute hands-on to architecture, design reviews, and critical-path Python/ETL/dashboard development Own operational outcomes including data quality, reliability, performance, and dashboard availability Partner with TORC leaders, Digital Product Managers, and stakeholders to align on data needs and delivery priorities Drive modern data engineering practices including CI/CD, automated validation, monitoring, and reusable data patterns Translate risk and compliance needs into scalable data models, workflows, and insight-driven solutions Enable strong agile execution focused on measurable outcomes and business value Promote a culture of continuous improvement, data accessibility, and trusted reporting Essential Skills 5+ years of engineering experience with hands-on Python and data product delivery 2+ years leading engineers with technical oversight (architecture, code reviews, delivery coaching) Experience building and operating scalable data pipelines, ETLs, and analytical/reporting systems Strong experience with data modeling, APIs, backend integrations, and data quality practices Knowledge of modern engineering practices (CI/CD, testing, observability, automation) Experience delivering dashboards and translating complex data into actionable insights Experience working in agile environments with cross-functional stakeholders Role 2: Managing Engineer - Risk Engineering Key Responsibilities Lead and manage a team delivering control capabilities as software products embedded in enterprise platforms Set technical direction across design, development, deployment, and operation of security controls Act as a hands-on leader contributing to architecture, design decisions, and critical-path development Own production outcomes including system reliability, performance, and operational health Partner with Digital Product Managers and engineering teams to align across roadmaps and delivery Drive modern software practices (TDD, CI/CD, observability, paired programming) Translate security and compliance requirements into scalable engineering solutions and reusable patterns Influence adoption of secure engineering standards and platform-integrated controls Lead agile execution with a strong focus on outcomes over process Essential Skills 5+ years of software engineering experience with hands-on coding (Python, Java, or JavaScript) 2+ years leading engineers with technical guidance (architecture, design, code reviews) Experience building and operating distributed,