Top Tech Jobs & Startup Jobs in Chicago, IL

The Client Services Director is responsible for leading, mentoring, and managing the front-line Client Services team to ensure client satisfaction and retention. They troubleshoot problems, develop client service protocols, resolve complex issues, and collaborate with various departments to enhance client experience. Additionally, they contribute to product development, deliver training, assist in sales efforts, analyze customer data, and oversee client services policies.

The Senior Director, Marketing at CRSP will oversee the development and implementation of marketing strategies and campaigns for the entire CRSP enterprise. Responsibilities include developing and coordinating the implementation of marketing policies, campaigns, and activities as well as pursuing market research, advertising, and promotion initiatives to enhance and expand awareness of CRSP and the CRSP brand.

Responsible for maintaining and enhancing compliance program components, managing risk and customer-impacting issues, providing compliance guidance for Mortgage Servicing Department, and supporting subservices oversight. Develops compliance programs and reports to management and committees.

As a Full Stack Application Engineer at Discover, you will build and release reliable software systems at scale, partner with teams to develop full stack solutions, and guide the team on implementing solutions from inception to production. Responsibilities include analyzing, designing, testing, deploying new features, overseeing design decisions, and leading technology communities. Minimum qualifications include a Bachelor's in Computer Science and 3+ years of experience in Information Technology or Software Engineering.

Responsible for providing strategic and tactical direction for operational activities, ensuring efficient and compliant servicing operations and world-class customer experience. Manages relationships with business partners and system-related projects.

Manage project tracking tools, collaborate with engineering teams, support data-driven decisions, lead cross-functional projects, document architecture, and assist with vendor negotiations and budget forecasting.

Design, develop and deliver data products to production, solve technical problems, define and extend data architecture standards, mentor team members, propose ideas for improvement, implement ETL processes, work closely with Data Scientists and Product Managers.

The Machine Learning Engineer is responsible for building high quality ML datasets at scale, used to train ML models that power AI-centric features. They will work directly with the Director of AI to build an end-to-end pipeline of ML model development.