BCBSLA
Insurance
Manager,EnterpriseDataManagement
Neural analysis suggests this role is
optimal for Manager candidates.
“Manager, Enterprise Data Management at BCBSLA. Skills: Data Management, Data Engineering, Analytics. Manage foundational components for departmental and corporate analytics. Manage dashboard integration”
What You'll Achieve.
Ensure sound design; Ensure sustainable design; Ensure economically viable design; Reduce technical debt
Industry & Context.
Data analysis; Systems analysis; Analyze data
Residency in Louisiana preferred, Relocation to Louisiana preferred
What They're Looking For.
Must Have
Bachelor's in Business, Finance, Computer Science, Mathematics or related field, Four years of related experience can be used in lieu of a Bachelor’s degree, minimum of five (5) years of experience, 2 years in a leadership role, Three years of experience as it relates to the organizational data, working knowledge in computer science, systems and data analysis, computer systems, programming, development/maintenance processes, and data management, experience in a minimum of two (2) of the following technical competencies, Knowledge of SAFe Agile delivery lifecycle, knowledge of data analytics, knowledge of data warehousing, knowledge of data structures, knowledge of repositories, knowledge of data modeling, extensive knowledge of the functional areas of the business
Nice to Have
Residency in or relocation to Louisiana is preferred, Preferred experience with information management tools, PhD preferred, specific ML framework experience, cloud platform certs
What You'll Do.
Manage foundational components for departmental and corporate analytics
Manage dashboard integration
Advance analytic enablement goals
Develop new processes
and architectural patterns
Support data engineering activities
Support analytic activities
Support data management activities
Manage data integration from ingestion to consumption
Integrate internal and external data sources
Integrate structured and unstructured data
Enable advanced analytics
Promote thinking on data engineering aspects
Promote thinking on sourcing
Promote thinking on acquisition
Promote thinking on integration
Promote thinking on quality
Promote thinking on metadata management
Promote thinking on governance controls
Leverage Enterprise Data Warehouse
Leverage strategic data sources
Reduce technical debt
Manage data and quality assurance
Comply with all laws and regulations
Set data engineering strategy
Set data management strategy
Define success criteria for big data initiatives
Define success criteria for analytic initiatives
Create guiding principles for data engineering
Create guiding principles for data management
Enforce guiding principles for data engineering
Enforce guiding principles for data management
Create standards for data engineering
Create standards for data management
Enforce standards for data engineering
Enforce standards for data management
Create best practices for data engineering
Create best practices for data management
Enforce best practices for data engineering
Enforce best practices for data management
Collaborate with architects on data solutions
Ensure data solutions align with enterprise reference architecture
Provide architectural leadership for data integration
Provide architectural leadership for data delivery
Integrate cloud platforms
Integrate relational databases
Integrate data lakehouse architectures
Develop metadata extraction facility
Develop metadata capture facility
Develop metadata tracking facility
Support metadata extraction facility
Support metadata capture facility
Support metadata tracking facility
Enable search of structured data
Enable exploration of structured data
Enable search of unstructured data
Enable exploration of unstructured data
Enable search of internal data
Enable exploration of internal data
Enable search of external data
Enable exploration of external data
Serve analytic use cases
Participate in selection of big data management tools
Participate in selection of big data platforms
Create policies for effective data management
Enforce policies for effective data management
Support rapid ingestion of new datasets
Supervise reporting responsibility for contractors
Supervise reporting responsibility for data engineers
Supervise reporting responsibility for outsourcing partners
Ensure data engineering personnel are trained
Support multiple reporting tools
Deliver work products to contribute to goals
Advance Analytics and EIM division
How You'll Work.
Team & Collaboration
Partnering with business teams; Partnering with technical teams; Contact with all levels of BCBSLA personnel; Work closely with leadership; Work closely with technology partners; Collaborate with enterprise architects; Collaborate with solution architects
Communication Scope
Verbal communication skills; Written communication skills; Communicate enterprise practices; Communicate enterprise standards
Process & Methodology
Agile Planning Tools, SAFe Agile delivery lifecycle
Full Job Description
We take great strides to ensure our employees have the resources to live well, be healthy, continue learning, develop skills, grow professionally and serve our local communities. We invite you to apply for a career with us. 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, ensuring sound, sustainable, and economically viable design in alignment with BCBSLA's Reference Architecture and Enterprise Data Sourcing Model. 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, standards, and architectural patterns to support the data engineering, analytic, and data management activities. This role will manage data integration from ingestion to consumption 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, with a focus on increased operational efficiency, reliability, and long-term viability while reducing technical debt. 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
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