Top Data Management Jobs in Omaha, NE

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.

As the Lead of Digital Client Strategy and Analytics, you will manage key accounts by guiding advertising strategies, analyzing campaign performance, and optimizing client growth through strategic insights and effective communication. You will ensure campaign execution aligns with client goals while fostering relationships and supporting overall client initiatives.

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

The Master Data Manager will oversee master data management solutions, lead a team of analysts, and ensure data integrity and governance. Responsibilities include designing and implementing data models, creating dashboards, improving data management processes, and maintaining documentation. The role emphasizes collaboration across departments to achieve organizational goals through data-driven insights.

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.