Top Artificial Intelligence Data & Analytics Jobs in Chicago, IL

The Cloud FinOps Practitioner will design and implement cloud financial operations, focusing on cost optimization, governance, and collaboration across teams to enhance efficient cloud usage.

As a Data Architect at RapidScale, you'll lead data platform engagements, ensuring delivery quality, managing teams, and designing cloud architectures while supporting ML implementations and client interactions.

The role involves leading data platform engagements, designing cloud architectures, managing delivery teams, and providing technical solutions focused on machine learning and data governance.

Manage and optimize Oracle Cloud EPM while collaborating between Financial Planning and Data Engineering teams to integrate non-financial KPIs into forecasting models.

As a People Team Data Analyst, you'll analyze hiring data to influence recruitment strategies and improve hiring processes, ensuring high data quality and effective communication of insights.

Drive IT SOX initiatives, lead assessments, create training, oversee audits, manage stakeholder relationships, and recommend solutions for compliance activities.

As the Capital Markets Manager, you will secure funding through securitization programs, manage partnerships, and lead structured finance negotiations while mentoring your team.

Lead the Competitive Pricing program at Upstart by managing data, providing strategic insights, and influencing pricing decisions to optimize marketplace operations.

Analyze auction data to identify performance drivers and risks, collaborate with commercial teams, and provide actionable insights to optimize DSP outcomes.

As a Staff Product Analyst, you'll define analytics strategies, build measurement infrastructure, design experiments, and partner with product teams to boost self-serve conversion and product adoption.

Lead analytics strategy for a financial institution, ensuring compliance and driving marketing analytics through predictive modeling and team management.

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.

Lead analytics implementations using Google Analytics and Tag Manager for clients, providing mentorship and managing projects with a focus on enhancing clients' digital strategies.