[Hiring] Senior Data Manager @Humana

Role 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 candidate 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.

• Ability to interact with business and IT departments in understanding user needs
• Able to translate the business needs to technical requirements in terms of data needs
• Self-motivated and possess the ability to manage multiple priorities and meet deadlines
• Capacity to maintain confidentiality and work independently
• Identifies opportunities for process improvements
• Coordinates with other teams to ensure all aspects of data needs are taken into account
• Coordinates and completes projects on time and within scope
• Prepares data for reporting and analysis including visualizations to support business requirements
• Experience in performing in-depth data analysis to derive insights that drive business outcomes and decisions
• Exhibits strong written and verbal communication skills
• Innovative thinker with an innate curiosity around data
• Experience in problem analysis and process documentation

Qualifications

• 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 (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
• Experience leading projects through the 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

Requirements

• Master's degree in Statistics, Mathematics, Computer Science, Engineering and/or related field (preferred)
• Healthcare or managed care experience (preferred)
• Experience implementing scalable and maintainable Dimensional Data Models to meet business objectives, including construction of Azure Data Factory and automation of data architectures implemented (preferred)
• Experience providing architecture guidance on Data Warehouse, Data Lake and Modern BI architecture concepts and technologies using Azure Synapse Analytics and/or Databricks (preferred)

Benefits

• Medical, dental, and vision benefits
• 401(k) retirement savings plan
• Time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
• Short-term and long-term disability
• Life insurance
• Many other opportunities

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job-related skills, knowledge, experience, education, certifications, etc.

$97,900 - $133,500 per year

This job is eligible for a bonus incentive plan based on company and/or individual performance.