Senior Data Manager – Databricks

Humana

Senior Data Manager responsible for acquiring, cleansing, and developing datasets for business analysis at Humana. Driving insights and managing data processes for improved outcomes.

Posted 8/3/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $97,900 - $133,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in data analysis and ETL development, with a strong focus on data architecture and lifecycle management. Proficient in translating business needs into technical requirements while ensuring data accessibility and usability for decision-making.

Highest-signal resume keywords

ETL Development Using SSISData Analysis Using SQLCloud Technologies (Azure Synapse Analytics, Snowflake)Data Visualization (Power BI, Power Automate, Power Apps)Project Lifecycle Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisETL ToolsStored ProceduresDynamic SQLRoot Cause AnalysisData ArchitectureData Lifecycle ManagementData CleaningData ValidationData Reporting

Soft Skills

Problem SolvingPresentation SkillsTime ManagementCustomer Satisfaction

Tools & Technologies

SSISADFDataBricksSSMSAzure Synapse AnalyticsSnowflakePower BIPower AutomatePower Apps

Industry Keywords

Data ManagementBusiness AnalysisData VisualizationProcess ImprovementTechnical Requirements

Tech Stack

Tools & technologies

AzureCloudETLSQLSSIS

About the role

Key responsibilities & impact

Acquire, clean and develop datasets from internal and external sources to support business analysis and reporting.
Acquire, validate, store, protect, and adhere to processes around data.
Develop and execute data architectures, policies, practices and procedures that manage the full data lifecycle needs of an enterprise.
Interact with business and IT departments to understand user needs and translate them into technical requirements.
Manage multiple priorities and meet deadlines.
Identify opportunities for process improvements.
Coordinate with other teams to ensure all aspects of data needs are taken into account.
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.

Requirements

What you’ll need

Bachelor’s degree
Minimum 7 years of technical experience in data analysis using ETL tools and developing ETL solutions using SSIS, ADF, and/or 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 (For example Azure Synapse Analytics, Snowflake and/or related cloud technology) 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
Experiencing leading projects through entire life cycle, from design, coding, code review and deployment
Proficient in root cause analysis
Demonstrated ability to problem solve and provide solutions for business or data issues
Good presentation skills to conduct demonstration meetings with clients to show progress on projects
Experience working with deadlines and skills in addressing customer satisfaction.

Benefits

Comp & perks

Medical, dental and vision benefits
401(k) retirement savings plan
Paid time off
Company and personal holidays
Paid parental and caregiver leave
Short-term and long-term disability
Life insurance