Managing Engineer - Risk Insights and Risk Engineering Hybrid

Position: Managing Engineer - Risk Insights and Risk Engineering - (Hybrid)
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.

Your role in the team 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 (Technology Operations, Risk and Compliance) 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.

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 visualisation 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 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.

Your role in the team 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 (Technology Operations, Risk and Compliance) 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.

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 visualisation 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:

All applicants must demonstrate they have a legal right to work in the UK for employment state is not providing sponsorship for this vacancy A minimum of 5 years of engineering experience with hands-on Python and data product delivery A minimum of 2 years leading engineers with technical oversight (architecture, code reviews, delivery coaching) Experience building and operating scalable data pipelines, ETLs, and analytical/reporting systems Experience deploying AI products 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 Desirable

Skills:

Experience in risk, compliance, security, or technology operations domains Exposure to cloud-native and containerized…