Enlyte is a company that combines innovative technology, clinical expertise, and human compassion to support recovery after workplace injuries or auto accidents. The Data Product Manager will be integral in building and supporting the data-driven decision-making process, focusing on data governance, quality initiatives, and collaboration across teams.
Responsibilities:
- Translate business requirements into product solutions
- Train business units on data schemas, analytical platforms, and visualization tools
- Collaborate with cross-functional teams to enhance our central databases with data integrity, additional features, and increased adoption
- Develop, implement, and maintain a data dictionary, processes and procedures, and governance playbook
- Drive understanding and adherence to the principles of data management including metadata, lineage, and business definitions
- Enhance our central database and corporate analytical toolbelt to solve business problem use cases
- Conduct ad-hoc analysis and support business teams in their analytical efforts
- Implement and oversee processes to ensure data integrity across the organization
- Communicate effectively with stakeholders to gain buy-in for data initiatives
Requirements:
- 5+ years of experience in data management, analytics, or related roles
- Strong understanding of data governance principles and best practices
- Excellent communication skills with the ability to explain technical concepts to non-technical audiences
- Experience with data visualization tools such as Tableau and Power BI
- Proficiency in SQL and basic understanding of programming concepts
- Strong attention to detail and ability to manage multiple projects simultaneously
- Demonstrated experience in implementing data quality processes and procedures
- Degree in Business Analytics, Data Management, or a related field
- Experience with analytics platforms such as Hex
- Familiarity with big data technologies such as Snowflake
- Knowledge of the workers' compensation insurance industry
- Certifications in data management or project management (e.g., CDMP, PMP)