Senior Data Manager

About this role

Become a part of our caring community   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.

The ideal candidate will have:

o Ability to interact with business and IT departments in understanding user needs o Able to translate the business needs to technical requirements in terms of data needs o Be self-motivated and possess the ability to manage multiple priorities and meet deadlines. o Possess the capacity to maintain confidentiality and work independently. o Identifies opportunities for process improvements o Coordinates with other teams to ensure all aspects of data needs are taken into account. o Coordination and completion of projects on time and within scope o Prepare data for reporting and analysis including visualizations to support business requirements. o Experience in performing in-depth data analysis to derive insights that drives business outcomes and decisions. o Exhibit strong written and verbal communication skills o Be an innovative thinker with an innate curiosity around data o Be self-motivated and possess the ability to manage multiple priorities and meet deadlines o Experience in problem analysis and process documentation

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.

The ideal candidate will have: • 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

• Be self-motivated and possess the ability to manage multiple priorities and meet deadlines.

• Possess the 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.

• Coordination and completion of projects on time and within scope

• Prepare data for reporting and analysis including visualizations to support business requirements.

• Experience in performing in-depth data analysis to derive insights that drives business outcomes and decisions.

• Exhibit strong written and verbal communication skills

• Be an innovative thinker with an innate curiosity around data

• Be self-motivated and possess the ability to manage multiple priorities and meet deadlines

• Experience in problem analysis and process documentation

Use your skills to make an impact   This role is not eligible for work visa sponsorship.

Required 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 preferred) • 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

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, including construction of Azure Data Factory and automation of data architectures implemented • Experience providing architecture guidance on Data Warehouse, Data Lake and Modern BI architecture concepts and technologies using Azure Synapse Analytics and/or Databricks

Additional Information

This role is not eligible for work visa sponsorship.

Location/Work Style: Remote US (Must be able to work Eastern Standard Time hours)

If you share our passion for helping people, we likely have the right place for you at Humana.

Work at Home Guidance

To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: • At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. • Satellite, cellular and microwave connection can be used only if approved by leadership. • Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. • Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job. • Work from a dedicated space lacking ongoing interrupt

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