Top Remote Data Management Jobs in Detroit, MI

The VP of Data Engineering at Axios leads the data engineering functions, overseeing teams for Data Engineering, Data Science, and Data Analytics. Responsibilities include managing data architecture, strategy development, technical guidance, team roadmaps, and maintaining best practices across departments. This executive role collaborates with stakeholders, fosters an inclusive team environment, and supports the overall mission of delivering trustworthy news content.

The Director of Analytics will lead social media analysis, measurement strategy, and reporting for various clients. Responsibilities include managing a team of analysts, establishing data strategies, improving campaign reporting, and translating data insights into actionable presentations. Ideal candidates should have strong leadership skills and experience in the social media analytics space.

The Senior Manager, Insights Digital Analyst interprets and analyzes digital marketing channels using advanced tools, driving business growth through actionable insights and strategic decision-making. Responsibilities include data collection, campaign analysis, producing reports, ensuring quality control, and mentoring junior analysts.

Lead strategic consulting projects for clients in the pharmaceutical and biotechnology sectors, providing strategic direction and oversight to drive business growth.

The Manager of Analyst Relations & Public Relations at Actian will drive the analyst relations strategy, maintain relationships with industry analysts, coordinate AR and PR activities, manage scheduling, and ensure consistent messaging in external communications. This role also involves supporting PR campaigns and monitoring industry trends.

You will lead a team to innovate in natural language processing, big data, and artificial intelligence, creating technologies that change digital interaction. This role demands creativity, strong collaboration skills, and the ability to develop prototypes rapidly.

The Machine Learning Architect will design and execute machine learning projects from proof-of-concept to deployment, architecting solutions on cloud platforms such as AWS, GCP, and Azure. The role involves collaborating with business representatives, managing all project phases, and ensuring technical excellence in machine learning delivery while staying current with advancements in the field.