Data Engineering & Analytics Platform Manager

The Data Engineering & Analytics Platform (DEAP) Manager is responsible for the overall delivery and success of the analytics data platforms and related technologies at Cook Children's to ensure that analytics solutions drive business value and support data-driven decision making. This role is responsible for data engineering and the analytics data environments, including: building and maintaining data platforms (data ingestion, data transformation, data lake, data warehouse), supporting and enhancing existing data resources, implementing new technology and tooling to accelerate analytics capabilities, and driving scalable solutions and data sharing practices. The Manager splits time between hands-on design/architecture, development and managerial activities, while overseeing the development of new practices and processes to enhance the business intelligence and data science capabilities at Cook Children's. The Manager will collaborate with BI developers, data analysts, data scientists, application architects/analysts, and business stakeholders on technology decisions and solutions, both on-prem and cloud, to ensure the analytics platform and solutions are scalable, reliable and secure. The Manager will partner with the Business Intelligence Director and other BI Managers to support data governance and promote analytics solutions that aligns capabilities with system strategic goals and initiatives.

The Manager has excellent communication skills, proven experience designing and implementing data/analytics platforms and solutions, experience with project management, and a successful track record of building and leading data engineering/data warehousing functions and teams. The Manager will be a motivated self-starter, be comfortable working in a fast paced environment and possess an innate drive to deliver results and business value. The Manager is responsible for the daily team operations, staff management, as well as resource and capacity management.

Qualifications:

• Bachelor's degree in Management Information Systems (MIS), Computer Science, Business or related/relevant field required.
• Minimum of 8 years of experience in information technology required.
• Minimum of 3 years in a management, supervisory or lead position required.
• Minimum of 5 years of experience in a healthcare, provider and/or managed care/insurance environment preferred.
• Experience overseeing the design, development, and implementation of business data engineering solutions and platforms.
• Minimum of 5 years of data ingestion, data profiling and data engineering experience including complex solution design and large-scale data transformation.
• Minimum of 5 years of data lake and data warehouse experience including: end to end data warehousing methodology, design/modeling, architecture, implementation, security, and support/maintenance.
• Knowledge of and experience with implementation of cloud based technologies (Azure, AWS, etc).
• Experience with cloud-based solutions (IaaS, SaaS, PaaS) including experience with forecasting usage and managing to budget.
• Experience with cloud data lake/data warehouse technologies such as Snowflake, Azure Synapse, AWS Redshift, etc.
• Demonstrated strength in SQL coding, data integration, data modeling, ETL/ELT development.
• Experience with modern data ingestion and transformation technologies such as Fivetran, Stitch, dbt, etc as well as traditional data integration/management tools such as SSIS, Informatica, etc.
• Experience with Agile, DevOps delivery methodologies.
• Ability to represent foundational role of data engineering in conjunction to all aspects of a data ecosystem, including data governance, data quality, security, visualization and analytics.
• Experience with Agile, DataOps delivery methodologies.
• Experience with project management, its methodologies and best practices.
• Proven experience with business and technical requirements analysis, elicitation, modeling, verification and methodology development.
• Experience working closely with vendors, reviewing contracts, and vendor management.
• Coding proficiency in at least one modern programing language (Python, Scala, Java, etc) preferred.
• Experience working with healthcare specific applications and data systems (Electronic Health Record, imaging systems, pharmacy systems, etc), business systems (ERP, CRM, etc) and digital platforms preferred.

Licensure, Registration, and/or Certification:

• Epic certification(s) a plus, and may be required upon hire or within six months of hire date.
• Preferred Epic certification(s) include Cogito Systems Administration, Caboodle-Clarity Development, Caboodle Development, Clarity Data Model, Clinical Data Model, Revenue Cycle Data Model, Access Data model, and/or Caboodle Data Model.
• Snowflake and/or Microsoft certification(s) a plus.
• Other relevant data engineering certification(s) a plus.