[Remote] Data Management Supervisor

Note: The job is a remote job and is open to candidates in USA. The National Insurance Crime Bureau (NICB) is a not-for-profit organization dedicated to combating insurance fraud and crime. The Data Management Supervisor oversees database development and statistical analysis activities while designing and managing AWS-based data solutions, PostgreSQL and Amazon Redshift environments, and ETL/ELT pipelines. The role also ensures data quality, supports stakeholder reporting needs, and leads data projects in collaboration with cross-functional teams.

Responsibilities

• Oversee day to day activities of database developers and a statistical analyst
• Assign resources to projects ensuring manageable workflow and balance to meet assigned deadlines
• Establishes priorities and tasks appropriately, through systematic, methodical, and effective project planning
• Coordinates and advises direct reports on project guidelines and requirements based on department needs
• Design and implement complex data solutions to using AWS services (e.g., Redshift, S3, Glue, Lambda) and PostgreSQL
• Confirms data requirements by conferring with stakeholders; studying operations and objectives; integrating enterprise requirements
• Maintain and evolve department data and statistics
• Prioritizes project deadlines with management and directs project expectations/functionality as necessary
• Apply database concepts, cloud data architecture principles, and functional capabilities across the data environment
• Maintains design structure by directing implementation of database standards and guidelines
• Maintains data quality and integrity by establishing standards, methodologies and monitoring performance
• Supports departmental and organizational objectives by completing assigned projects
• Oversee ingestion of large datasets into AWS storage and analytical environments
• Create timely reports as required by ad hoc or managerial request
• Provide simple, user-friendly, front-end tools, views, and reports that assist in the analysis of insurance and law enforcement data
• Other duties as assigned

Skills

• Must be a U.S. Person, defined as a US Citizen or Green Card Holder (required for working in GovCloud environments)
• Bachelor's degree required; Analytics, Data Science, Computer Science, Business Administration, or Information Technology, or similar field preferred
• 2 -3 years IT experience with strong understanding of relational database concepts and cloud data architecture
• Experience with PostgreSQL and/or Amazon Redshift in production environments
• Experience with cloud-based data management and ETL/ELT processes, and data flow design
• Solid understanding of, and experience with, server-client environments and relational database systems (Postgres, Redshift)
• Ability to establish data project requirements and supervise ongoing projects, based on department needs
• Proficiency in complex SQL query development and cloud‑based data pipeline troubleshooting
• Strong interpersonal, written, and oral communication skills
• Ability to produce clear technical documentation and present ideas in user-friendly language
• Self-motivated and directed, with keen attention to detail
• Strong understanding of the organizational goals and how data supports them
• Ability to prioritize and execute tasks effectively in a high-pressure, rapidly changing environment
• Ability to work in a team-oriented, collaborative environment
• Sedentary work
• Substantial movements (motions) of writs, hands, and/or fingers
• Extensive use of a computer and looking at a screen
• Some travel may be required
• Ability to lift 25 lbs
• Analytics, Data Science, Computer Science, Business Administration, or Information Technology, or similar field preferred
• Strong experience with Amazon Web Services data processing tools preferred (S3, Glue, Lambda, etc.)

Benefits

• A comprehensive benefits package
• An attractive 401(k) plan
• Generous paid time off
• Remote work from a location within the boundaries of the United States or its Territories

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