Description
The Senior Data Manager acquires, cleans, and develops datasets from internal and external sources to support business analysis and reporting. The individual will acquire, validate, store, protect, and adhere to processes around data to ensure the accessibility, reliability, and timeliness of the data for its users. The Senior Data Manager will also be responsible for developing and executing data architectures, policies, practices, and procedures that properly manage the full data lifecycle needs of an enterprise.
Responsibilities:
- Acquire, validate, store, protect, and ensure data accessibility, reliability, and timeliness
- Develop and execute data architectures, policies, practices, and procedures
- Interact with business and IT departments to understand user needs and translate them into technical requirements
- Prepare data for reporting and analysis, including visualizations to support business requirements
- Perform in-depth data analysis to derive insights that drive business outcomes and decisions
- Coordinate with other teams to ensure all aspects of data needs are taken into account
- Identify opportunities for process improvements and lead projects through their entire lifecycle
- Exhibit strong written and verbal communication skills
Requirements:
- Bachelor's degree
- Minimum 7 years of technical experience in data analysis using ETL tools and developing ETL solutions
- 3 years of experience using DataBricks
- Experience working in a SQL environment with comprehensive knowledge of SSMS and SSIS
- Extensive experience developing stored procedures and dynamic SQL
- Strong working knowledge of Cloud Technologies (e.g., Azure Synapse Analytics, Snowflake) and Power Platforms (Power BI, Power Automate, & Power Apps)
- Experience taking complex data and making it more accessible, understandable, and usable for leaders to derive insights
- Proficient in root cause analysis and problem-solving
- Good presentation skills to conduct demonstration meetings with clients
Preferred Qualifications:
- Master's degree in Statistics, Mathematics, Computer Science, Engineering, and/or related field
- Healthcare or managed care experience
- Experience implementing scalable and maintainable Dimensional Data Models to meet business objectives
- Experience providing architecture guidance on Data Warehouse, Data Lake, and Modern BI architecture concepts and technologies
Benefits:
- Competitive benefits that support whole-person well-being, including medical, dental, and vision benefits, 401(k) retirement savings plan, time off, and short-term and long-term disability
Schedule:
- 40 scheduled weekly hours
- Remote work arrangement with occasional travel to Humana's offices for training or meetings
Pay Range:
- $97,900 - $133,500 per year