Top Hybrid Senior Level Jobs in Chicago, IL

Leads finance for a manufacturing plant, overseeing budgeting, forecasting, cost accounting, financial reporting, internal controls, inventory accuracy, and KPI analysis. Partners with plant leadership on productivity, capital investments, risk management, and cost reduction. Supervises and develops the finance team while ensuring compliance and accurate financial performance reporting.

Build, operate, and scale large-scale data storage platforms (Hadoop, S3-compatible, enterprise storage). Tune Linux for I/O performance, automate deployments with Ansible/Puppet, implement observability with Prometheus, and partner with engineers on storage- and Kafka-focused data solutions. Familiarity with Kubernetes and development in Java/Python required.

Business Analyst supporting market infrastructure for a global clearing firm. Translates process and product improvements into end-to-end IT solutions, coordinating with developers, risk, operations, commercial teams, exchanges, brokers, and other stakeholders. Responsibilities include managing complex implementations, leading change processes, documenting progress, meeting regulatory and external deadlines, and improving post-trade systems and tooling. The role requires expertise in derivatives and equities post-trade lifecycles, FIX, SQL, and Excel.

Leads index research and develops thought leadership for Morningstar Indexes. The description provides limited role-specific responsibilities, but the position likely oversees research-driven content, insights, and strategic perspectives supporting the organization’s indexing business and external audience engagement.

Leads customer-facing technical discovery, architecture, demonstrations, evaluations, proofs of value, and technical close for Cloudflare One solutions. Advises enterprise customers on Zero Trust, SASE, secure connectivity, WAN transformation, AI security, and related technologies. Partners with sales, product, engineering, support, and customers to drive successful evaluations, communicate business value, create reusable technical assets, and provide feedback for product improvement.

Lead product strategy, vision, roadmap, and customer-facing API design for Grainger’s eProcurement integrations. Define measurable outcomes, prioritize customer-focused solutions, guide cross-functional engineering and operations teams, and drive adoption across complex organizations. The role requires deep process analysis spanning intake, integration, ordering, invoicing, and payment, while influencing senior stakeholders, managing ambiguity, and mentoring other product managers.

Supports multiple senior executives through complex calendar management, travel coordination, expense reporting, team event planning, information dissemination, and relationship building. The role serves as an executive gatekeeper and team ambassador, requiring adaptability, judgment, resourcefulness, communication, organization, and collaboration in a fast-paced environment.

Manage strategic client accounts by identifying growth and upsell opportunities, maintaining client relationships, coordinating cross-functional projects, monitoring KPIs, supporting retention, resolving concerns, and ensuring projects meet client expectations and budgets. The role requires knowledge of property management, single-family rentals, renovation and maintenance operations, regulatory requirements, financial analysis, stakeholder management, and client communication.

Lead Adyen’s Product Experience organization for the merchant setup journey. Define PX strategy, build and manage a team of eight full-stack PX professionals, champion customer-centered product decisions, and partner with product, engineering, commercial, operations, and senior leadership. Ensure high-quality research, design, and content execution across onboarding, compliance, developer experience, and platform engineering. Coach team members, foster experimentation and urgency, and drive measurable customer and business impact.

Develop, deploy, and monitor fraud detection models and pattern-recognition pipelines using Python, SQL, machine learning, and large transactional datasets. Partner with Fraud Operations to refine models, reduce false positives and negatives, analyze emerging fraud trends, and improve underwriting and verification strategies. Communicate insights to senior stakeholders, apply AI in production, and lead team members and initiatives.