Top Tech Jobs & Startup Jobs in Chicago, IL

Owns strategy, roadmap, lifecycle, and performance of Allstate’s Ads Manager platform and user-facing applications. Responsibilities include translating business priorities into product features, managing backlogs and investments, defining KPIs, conducting user research, developing product requirements, overseeing demand and supply partnerships, monitoring platform efficacy, and collaborating with engineering, machine learning, web development, data science, and go-to-market teams. Requires domestic travel approximately two weeks per quarter.

Build and maintain scalable batch and streaming data pipelines, governed risk data products, ETL/ELT workflows, and analytics-ready datasets. Integrate internal, vendor, and external data sources using cloud data lake and lakehouse technologies, including Microsoft Fabric and OneLake. Implement data quality, monitoring, lineage, reconciliation, CI/CD, testing, and operational support processes. Partner with analytics, risk, governance, security, and product teams to enable reporting, dashboards, advanced analytics, and AI capabilities.

Build and maintain trusted risk datasets, semantic models, dashboards, reports, and reusable analytics products. Translate stakeholder needs into analytics requirements, integrate fragmented risk and operational data, automate data preparation and reporting, establish data quality and governance standards, and produce insights on trends, control weaknesses, and emerging risks. The role also supports data product adoption, stakeholder enablement, and coaching without supervisory responsibilities.

Leads measurement science consulting across Claims by defining objectives, metrics, experimental designs, and evaluation methods. Applies statistical analysis and causal inference to assess business initiatives, identify measurement risks, and establish defensible impact assessments. Partners with business, analytics, technology, and finance stakeholders; communicates findings to senior leaders; embeds with teams; and educates employees on measurement best practices. Requires strong analytical, consulting, communication, and stakeholder-influence skills.

Lead Client Legal Services analytics strategy and team development. Own Power BI reporting products, Microsoft Fabric data solutions, governance, predictive modeling, responsible AI adoption, ROI measurement, and executive insights. Partner cross-functionally to improve legal operations, litigation outcomes, staffing, capacity, cost management, quality, and workflow optimization while building scalable analytics capabilities and institutional knowledge.

Designs, develops, tests, deploys, and supports secure Java software using Agile, XP, TDD, and CI/CD practices. Collaborates with cross-functional teams on system and application design, contributes to planning and retrospectives, provides production support, and serves as a domain subject matter expert. The role also establishes deployment practices, shares knowledge, and mentors junior engineers while working with APIs, databases, messaging systems, security tools, and cloud platforms.

Provides strategic legal counsel on U.S. state privacy laws, GDPR, data governance, AI regulations, advertising technology, FCRA, and data-driven transactions. Advises product, marketing, technology, and data teams on consent, data use, licensing, disclosures, retention, and regulatory risk. Requires complex legal analysis, risk-benefit assessments, transaction support, and cross-functional collaboration to enable innovation while managing legal exposure.

Develop and support enterprise full-stack applications using Java, Spring Boot, Python, React, and cloud technologies. Build secure APIs, microservices, integrations, chatbot interfaces, and conversational UI features. Deploy cloud-native applications with Azure or AWS, Docker, and Kubernetes while contributing to CI/CD, testing, monitoring, security, and architecture. Collaborate with product, engineering, architecture, and business teams in an agile environment.

Plans and manages sponsorship marketing programs across collegiate sports, soccer, and other platforms. Coordinates agencies, rights holders, internal stakeholders, legal approvals, budgets, timelines, events, presentations, and centralized documentation. Leads internal and external project teams, executes marketing and sales objectives, and analyzes program performance using response and sales indicators. This individual contributor role requires strong project management, communication, organization, and sponsorship or promotional marketing experience.

Develops data infrastructure, analytics solutions, prototypes, and enterprise data assets supporting data science and predictive modeling. Collaborates with data scientists, engineers, and business partners to define requirements, build and test solutions, support user acceptance, and deliver rapid data engineering work tracks. Uses SQL, Python, and Spark for agile data analysis and parallel processing. Also contributes to proof-of-concept designs, documentation, process improvement, and team mentoring.