Data Management Expert

Job Summary

Works with other ECOSphere data managers to bridge biological expertise and technical requirements for managing species information. Responsible for organizing, integrating, governing, and improving accessibility and usability of species data across ECOSphere systems.

• Collaborate with biologists, ecologists, and technologists to understand data needs and objectives for species information workflows.
• Develop and implement data management strategies, protocols, and workflows for collection, storage, and integration from diverse sources.
• Design and maintain data architecture supporting taxonomy, distribution, habitat, behavior, genetic information, and related datasets.
• Ensure data quality and integrity via validation, cleaning, regular audits, and continuous improvement practices.
• Develop and maintain data dictionaries, metadata standards, and documentation to enable discovery, interoperability, and reuse.
• Establish and maintain data governance policies (access controls, security measures, data sharing protocols) aligned with applicable regulations and best practices.
• Partner with technologists to select and implement data tools and platforms supporting storage, retrieval, and analysis.
• Support ETL/integration processes and data pipelines as needed to improve timeliness and reliability of data delivery to applications and reporting.
• Provide training and tools for researchers on data best practices, entry standards, and appropriate analysis tooling.
• Stay current with biodiversity informatics and data management trends; recommend improvements and innovations.
• Contribute to publication/dissemination of species datasets and support reporting outputs that rely on curated data.

• Experience in data management, preferably in a scientific or biological research environment.
• Strong understanding of species biology, taxonomy, and ecological concepts.
• Proficiency in data management principles, data modeling, and data integration techniques.
• Familiarity with DBMS (e.g., SQL Server, Oracle, Postgre
  
  SQL) and SQL (or demonstrated ability/interest to learn quickly).
• Strong analytical/problem-solving skills and attention to detail.
• Excellent communication and collaboration skills with scientists and technologists.

• Experience with cloud data platforms and modern ELT/ETL approaches.
• Experience with data governance frameworks, privacy, and controlled/uncontrolled data handling.
• Experience supporting data visualization tools (Tableau/Power BI) and/or Python/R for data manipulation.

NuAxis Innovations

NuAxis is an Equal Opportunity/Affirmative Action Employer, including Vets and Disabled.

Employment is contingent upon successful completion of a background investigation.