Manager, Enterprise Data Management

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Residency in or relocation to Louisiana is preferred for all positions.

position PURPOSE

The Manager of Enterprise Data Management is accountable for managing the foundational components which are essential to supporting departmental and corporate analytics and data warehouse dashboard integration.

This position will be responsible for advancing the overall goals of the analytic enablement within the Enterprise Information Management Division. The Manager will leverage current and develop new processes and tools to support the data engineering, analytic, and data management activities. This role will manage data integration from ingestion to mining of internal and external data sources as well as structured and unstructured data to enable advanced analytics.

The Manager will promote and advance thinking in the organization on all aspects of data engineering including sourcing, acquisition, integration, quality, metadata management, and governance controls that leverages the Enterprise Data Warehouse (EDW) and other strategic data sources. This position plays an integral role in the company’s strategic direction, development, and future growth through the management of data and quality assurance.

Accountable for complying with all laws and regulations associated with duties and responsibilities.

NATURE AND SCOPE

• Manages People
• This role directly manages 5-20 workers
• This job reports to: Departmental Leadership
• Necessary Contacts: To do this job effectively the incumbent has to be in contact with all levels of BCBSLA personnel.

QUALIFICATIONS

education

• Bachelor’s in Business, Finance, Computer Science, Mathematics or related field required.
• Four years of related experience can be used in lieu of a Bachelor’s degree.

Work Experience

• Must have a minimum of five (5) years of experience, with 2 years in a leadership role, in partnering with business and technical teams to provide oversight. Three years of experience as it relates to the organizational data aligned to business systems, frameworks, best practices, and requirements.
• Experience may run concurrently.
• Requires working knowledge in such fields as computer science, systems and data analysis, computer systems, programming, development/maintenance processes, and data management for large complex systems and data visualization.
• Must have experience in a minimum of two (2) of the following technical competencies:
• Cloud technology (Azure, AWS)
• Integration Platform (Informatica, Azure Data Factory, Databricks)
• Dimensional modeling
• Massively parallel processing (MPP) databases (Teradata, Synapse)
• Data Lake or Lakehouse
• Data Intelligence/Visualization (Tableau, Power BI, Qlik)
• Agile Planning Tools (ADO, JIRA)
• Knowledge of SAFe Agile delivery lifecycle, data analytics, data warehousing, data structures, repositories and data modeling required.
• Requires extensive knowledge of the functional areas of the business that are being supported.
• Preferred experience with information management tools such as data cleansing, data profiling, metadata management, data integration, master data, quality assurance and business intelligence.

Skills and Abilities

• The ability to manage the team to identify, evaluate, implement and communicate enterprise practices and standards for data management across systems.
• Strong verbal and written communication skills, time management and organizational skills. Able to multitask and adapt quickly to change and coordinate activities with others.
• Must have ability to multitask and adapt quickly to change and coordinate activities with others.

Licenses and Certifications

• None Required

ACCOUNTABILITIES AND ESSENTIAL FUNCTIONS

• Work closely with all levels of leadership including technology partners to set the data engineering and management strategy and define success criteria for enterprise-wide big data and analytic initiatives.
• Develop and support the highly automated metadata extraction, capture, and tracking facility of the data lake including the ability to search and explore structured, unstructured, internal, and external data from multiple sources in one secure place to serve analytic use cases.
• Participates in the selection of big data management tools and platform, creating and enforcing policies for effective data management, develop and support rapid ingestion of new datasets without extensive modeling from the data lake.
• May supervise reporting responsibility for independent visualization and/or data contractors, data engineers and outsourcing partners.
• Ensures data engineering personnel is suitably trained to perform all job function and suitably use project and data related tools.
• Support multiple reporting tools in a self-service capacity and the delivery of big data advanced analytics (machine learning and text analytics).
• Administer 3rd party purchases and in-house developed analytics algorithms.
• Develop and support the Enterprise Data Warehouse through the inclusion of emerging/cloud technologies to evolve the data management strategy to increase capabilities, efficiency, and reliability for the Enterprise.
• Support and manage test driven development (TDD) process with Data Integration team and automating of continuous data validation.
• Create and report on test cases for testing and tracking defects to resolution.
• Understand Departmental Goals and Objectives and deliver work products to contribute to those goals as well as advancing Analytics and EIM division.

Additional Accountabilities and Essential Functions

The Physical Demands described here are representative of those that must be met by an employee to successfully perform the Accountabilities and Essential Functions of the job. Reasonable accommodations may be made to enable an individual with disabilities to perform the essential functions

• Perform other job-related duties as assigned, within your scope of responsibilities.
• Job duties are performed in a normal and clean office environment with normal noise levels.
• Work is predominately done while standing or sitting.
• The ability to comprehend, document, calculate, visualize, and analyze are required.

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An Equal Opportunity Employer

All BCBSLA EMPLOYEES please apply through Workday Careers.

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Additional Information

Please be sure to monitor your email frequently for communications you may receive during the recruiting process. Due to the high volume of applications we receive, only those most qualified will be contacted. To monitor the status of your Application, please visit the “My Applications” section in the Candidate Home section of your Workday account.

If you are an individual with a disability and require a reasonable accommodation to complete an application, please contact recruiting@bcbsla.com for assistance.

In support of our mission to improve the health and lives of Louisianians, Blue Cross encourages the good health of its employees and visitors. We want to ensure that our employees have a work environment that will optimize personal health and well-being. Due to the acknowledged hazards from exposure to environmental tobacco smoke, and in order to promote good health, our company properties are smoke and tobacco free.

Blue Cross and Blue Shield of Louisiana performs background and pre-employment drug screening after an offer has been extended and prior to hire for all positions. As part of this process records may be verified and information checked with agencies including but not limited to the Social Security Administration, criminal courts, federal, state, and county repositories of criminal records, Department of Motor Vehicles and credit bureaus. Pursuant with sec 1033 of the Violent Crime Control and Law Enforcement Act of 1994, individuals who have been convicted of a felony crime involving dishonesty or breach of trust are prohibited from working in the insurance industry unless they obtain written consent from their state insurance commissioner.

Additionally, Blue Cross and Blue Shield of Louisiana is a Drug Free Workplace. A pre-employment drug screen will be required and any offer is contingent upon satisfactory drug testing results.

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