Top Operations Jobs in Detroit, MI

The Psychiatric Nurse Practitioner will treat clients remotely, conducting initial psychiatric evaluations and ongoing management sessions. They will utilize the Talkspace platform for video calls and necessary documentation while collaborating with the psychiatry team. Responsibilities also include patient treatment planning and ensuring HIPAA compliance.

The Creative Operations Manager at Vital Farms oversees the in-house creative team, manages project timelines, and acts as a liaison between the creative team and stakeholders. This role focuses on optimizing creative processes, ensuring high-quality outputs, and fostering collaboration to meet strategic brand goals.

As a Billing Coordinator, you will support Tia members in navigating healthcare billing and claims, ensuring they receive a high level of service. Responsibilities include managing member communications, coordinating billing processes, managing payment arrangements, and collaborating with various healthcare teams to support patient care.

As the Named Support Manager, you will lead the Named Support team responsible for delivering exceptional support to strategic customers. Responsibilities include building customer relationships, providing technical support, resolving escalated cases, and implementing processes for a scalable support program.

As a Compliance Associate in Incident Management, you will support the Compliance Team by logging and monitoring incidents, investigating consumer complaints and regulatory violations, and conducting in-depth analyses to determine root causes. Strong writing, analytical skills, and collaboration with strategic partners are essential.

The Director of Revenue Operations will lead sales and revenue processes, aligning GTM teams, forecasting revenue, establishing KPIs, optimizing systems, implementing sales processes, and collaborating across departments to drive scalable growth.

As a Credit Strategy Manager, you will leverage data and analytics for insights into lending performance, collaborate with data science on machine learning models, manage credit risk strategies, and present findings to executives, ensuring alignment with the bank's risk appetite and enhancing decision-making processes.