Top Senior Level Data & Analytics Jobs in Miami, FL

Responsible for managing Data & Analytics for the Source to Pay area within Mars Pet Nutrition's SAP S/4HANA transformation. This role involves building a high-performing team, ensuring effective data management, and collaborating across departments to align timelines and activities related to the project.

The Data Engineering Lead at Equip will oversee the development of data infrastructure and pipelines, ensuring data availability and reliability to improve patient lives. Responsibilities include designing engineering projects, providing technical guidance, maintaining data quality standards, and collaborating with stakeholders.

The Principal Scientist will manage and oversee non-clinical and clinical biomarker bioanalysis, including method development, validation, and interactions with specialty labs. Responsibilities include collaboration with cross-functional teams, maintaining quality assurance, and contributing to the development of novel therapeutics. This role requires a strong background in bioanalytics, laboratory management, and the drug discovery process.

The Associate Director, Data Analytics will lead the Data Analytics team, ensuring quality service for TMC members through data visualizations, analysis, and strategy. Responsibilities include setting team priorities, managing staff, coordinating member-facing product development, and implementing best practices in data management.

As a Data Architect, you will design and implement data strategies for clients utilizing Google Cloud and Azure technologies. Responsibilities include architecting data warehouses, migrating data, and providing educational workshops. You will serve as a liaison between business and technology teams, ensuring effective architecture solutions are in place.

As a Sr. Data Scientist at Houzz, you will collaborate across teams to define and launch data science initiatives, manage key business metrics, design experiments, and own project execution to provide actionable insights that drive product development and business direction.

The Data Architect is responsible for designing and overseeing enterprise-wide data architecture, ensuring data quality, integrity, and management. They collaborate with teams to develop data solutions, oversee data processes, implement methodologies, and support enterprise data projects to drive organizational goals.