Senior Data Manager - Databricks & Data Platforms

Humana, Inc.; Lansing (MI); Remote; USD 98,000 - 134,000; Full time

Job summary

Humana, Inc. invites applications for the Senior Data Manager role.

The successful candidate will acquire, cleanse and develop enterprise datasets to support business analysis and reporting, while ensuring data accessibility, reliability and timeliness. They will define data architectures, policies and procedures to manage the full data lifecycle and collaborate with business and IT teams to translate needs into technical data requirements.

Qualifications

• Bachelor’s degree in a related field
• 7+ years of technical experience in data analysis using ETL tools
• 3 years experience using DataBricks
• Experience working in a SQL environment with SSMS/SSIS
• Extensive experience developing stored procedures and dynamic SQL
• Strong working knowledge of Cloud Technologies (Azure Synapse Analytics, Snowflake) and Power Platforms (Power BI)
• Experience turning complex data into accessible insights
• Experience leading projects through full life cycle

Responsibilities

• Acquire, cleanse and develop datasets for analysis and reporting
• Translate business needs to technical data requirements
• Develop and implement data architectures, policies and procedures
• Ensure data accessibility, reliability and timeliness
• Coordinate with teams to address data needs
• Prepare data for reporting and visualizations
• Lead projects through design to deployment

Skills

Data analysis

Communication

Problem solving

Project management

Attention to detail

Education

Bachelor's degree

Master's degree (preferred)

Tools

ETL tools

DataBricks

SSMS/SSIS

SQL

Azure Synapse

Snowflake

Power BI

Power Automate

Power Apps

Job description

Humana, Inc. invites applications for the Senior Data Manager role.

The successful candidate will acquire, cleanse and develop enterprise datasets to support business analysis and reporting, while ensuring data accessibility, reliability and timeliness. They will define data architectures, policies and procedures to manage the full data lifecycle and collaborate with business and IT teams to translate needs into technical data requirements.