Top Data Management Jobs in Palm Bay-Melbourne-Titusville,

The Data Science Senior Manager will manage the functional data science capability, create a data science roadmap, analyze data for insights, and build teams with the right skills. Responsibilities include applying analytics to solve business problems and interfacing with high-level stakeholders.

The Data Applications Manager will lead the development and implementation of data integration strategies and operational reporting solutions. The role requires managing enterprise-level systems and ensuring seamless data ecosystem performance while overseeing technical team management and stakeholder engagement.

The Data Science Director for Product Analytics will lead a team of data scientists and engineers to develop product-related metrics and insights, deliver self-service analytics, and support reporting efforts for executives. Additional responsibilities include building analytics infrastructure and promoting effective data usage across the company.

The Director of Data & Analytics at Wipfli leads the firm’s data strategy, ensuring effective data management and governance. They collaborate with leadership to define and maintain the analytics vision, establish metrics and KPIs, oversee data quality, and guide data stewardship and AI initiatives. This role involves managing a team to unlock the value of data for strategic decision-making and operational efficiency.

As Director of Data Science and AI at Cisco Meraki, you will lead a growing team to apply quantitative methods and develop machine learning models that enhance customer value and drive product development. Your role will involve strategizing AI use cases, overseeing AI/ML solution deployment, and improving data infrastructure in collaboration with various partners across the organization.

The Sr. Manager, Aggregate Reports Scientist will lead pharmacovigilance processes for aggregate reports, oversee signal management and regulatory requests, and improve processes in collaboration with cross-functional teams. This role also involves authoring safety reports and mentoring less experienced staff while ensuring compliance with global regulations.

The Senior Consultant in Data & Analytics leads clients on their analytics journey, collaborating on strategic visions and implementing initiatives. Responsibilities include analyzing data patterns, creating predictive models, generating insights through visual analytics, conducting gap analyses, and designing data flows.