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This role is designed as hybrid.
Primary Responsibilities:
• Take a leading role in the Division's development of Enterprise Data strategy, architecture, policies, and governance structure and will support the organization in taking a strategic approach to choosing the right processes, technologies and resources to be implemented and embedded within our rapidly growing organization.
• Play a pivotal role in shaping our future data architecture and capability by facilitating the creation of processes, policies, and standards as well as shaping and laying foundations for the underpinning technologies.
• Be one of the key contributors to the organizations digital transformation initiatives aimed at driving a deep organizational change to transition from the current local and fragmented state to a unified data source operating model.
• Seek to develop a unified, single source of truth for the organizations data and analytics customers as well as provide recommendations for tools and technology to modernize data systems, applications, ETL processes and other capabilities.
• Assemble teams that perform modernized ETL processes on large, complex sets of data that meet non-functional and functional business requirements.
• Identify, design, and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Outline and implement a modern data stack as an integrated set of tools that helps facilitate the handling, cleaning, processing, and storing of data for the organization.
• Design end-user engagement layers that support the needs of the data science quality, and other analytics teams.
• Keep abreast of technological advances in cloud data structures including Data warehouses, Data Streams, Data lakes, Pipelines for ingesting and processing data, and Catalogs for data organization.
• Lead BI & Analytics teams to define Information and MDM Solution Architecture.
• Implement system improvements and new technologies aimed at data storage, profiling, processing, management and streamlining external data source ingestion.
• Recommend improvements and platform development to meet strategic objectives of the business (e.g., workflow mgmt. applications, data cleansing, auditing, monitoring, etc.).
• Review gap analysis of current business systems, EDW, Data Stores, and tabular data structures and applications to target state.
• Create functional specifications and testing requirements for system and configuration changes due to application modifications.
• Understand existing business applications and legacy systems landscape to support information and solution architecture.
• Support the organization in establishing a standard for ETL pipeline processes in coding, architecture, and design of the data warehouse and data lake.
• Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, Python, and SQL technologies.
• Facilitate the establishment of change management processes to prepare, monitor, and maintain the systems that will provide production ready data.
• Develop and own process for evaluating and auditing ETL loads and extracts including failures/success rates (establish relevant KPIs, etc.) and providing direction to the team for improvement.
• Set up and review data standards, classifications, mappings, cross-referencing and metadata to support both EDW and Data Lake architecture.
• Define the desired data warehouse solution feature set.
• Provide management and mentoring to subordinate Team Members.
• Provide team leadership, management, development and coaching as required.
Incumbent Must Possess:
• Extensive knowledge in SQL and relational databases.
• Five plus (5+) years of healthcare domain preferred.
• Demonstrated strong domain knowledge with expertise in payer/provider health data engineering and business functions specifically in areas of administrative and clinical operations.
• Engineering or analytic team management/lead experience.
• Demonstrated ability in the application of Lean thinking, continuous improvement, and change management.
• Ability to support the development of engineers for EDW development and programming skills (e.g., SQL, Python, Alteryx).
• Experience working with IT partners or automation strategies to deploy production-level analytic solutions.
This position does not provide patient care.
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