Manager, Enterprise Data Management

POSITION PURPOSE

The Manager of Enterprise Data Management is accountable for managing the foundational components 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 advance the overall goals of analytic enablement within the Enterprise Information Management Division, leveraging current processes and developing new ones to support data engineering, analytics, and data management activities. It will manage data integration from ingestion to consumption of internal and external data sources, structured and unstructured, to enable advanced analytics.

The Manager will promote and advance thinking on data engineering, including sourcing, acquisition, integration, quality, metadata management, and governance controls, leveraging the Enterprise Data Warehouse and other strategic sources to increase operational efficiency, reduce technical debt, and support strategic direction and growth.

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

• Manages People
• This role directly manages 5-20 workers
• This job reports to:
  Departmental Leadership
• Necessary contacts:
  The incumbent must be in contact with all levels of BCBSLA personnel.

• 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.

• Minimum of five (5) years of experience, with 2 years in a leadership role, partnering with business and technical teams to provide oversight.
• Three years of experience related to organizational data aligned to business systems, frameworks, best practices, and requirements.
• Experience may run concurrently.
• Working knowledge in fields such 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)
• Data Architecture / Data Modeling
• 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)
• Dev Sec Ops  / CI-CD Pipelines
• 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.

• 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.

• None Required

• 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.
• Create and enforce guiding principles, standards, and best practices for data engineering and data management across the enterprise.
• Collaborate with enterprise and solution architects to ensure data solutions align with the enterprise reference architecture.
• Provide architectural leadership for data integration and delivery efforts by integrating various technologies such as cloud platforms, relational databases, and data lakehouse architectures.
• Develop and support the highly automated metadata extraction, capture, and tracking…