Top Tech Jobs & Startup Jobs in Chicago, IL

Deliver and facilitate new-hire, professional, and leadership training programs through virtual and in-person methods. Develop multimedia learning materials, assess training effectiveness, coach employees, address performance gaps, and collaborate with leaders to align learning initiatives with organizational goals. The role also supports continuous improvement through adult-learning principles, data-driven insights, and emerging training technologies, while occasionally serving as an interim manager for new hires.

Support senior leaders by managing complex calendars, meetings, travel, communications, presentations, action items, and confidential information. Coordinate cross-functional priorities, prepare executives for meetings, track follow-ups, improve workflows, and support special projects in a fast-paced healthcare organization.

Build and lead FreedomCare’s enterprise leadership development system. Responsibilities include creating a leadership philosophy and competency model, assessing capability gaps, designing leadership pathways and onboarding standards, managing programs, budgets, vendors, technology, governance, and adoption, and measuring behavioral and business impact. The role partners with Talent Acquisition, Learning and Development, HR business partners, executives, and operational leaders to improve leadership effectiveness, succession coverage, mobility, retention, and organizational performance.

Provide high-touch support to senior leaders: manage complex calendars, coordinate meetings and travel, develop executive presentations, draft communications, track action items, implement efficiencies, use productivity and AI tools, handle confidential information, and support cross-functional initiatives and special projects.

Design, build, and maintain data pipelines, dashboards, and predictive models. Analyze large datasets to generate actionable insights, collaborate with stakeholders, ensure data quality and governance, and document/share analytics best practices to support Marketing, Product, Operations, and Workforce teams.

Analyze large, complex datasets to generate actionable insights; build SQL queries and data pipelines; develop predictive models (regression, clustering, forecasting); create and maintain dashboards; ensure data quality and governance; collaborate with stakeholders to translate findings into business recommendations and document work.

Analyze large datasets, build SQL queries and data pipelines, develop predictive and statistical models, create dashboards, ensure data quality/governance, and translate insights into actionable recommendations for Marketing, Product, Operations, and Workforce teams.