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Data Engineering & Analytics Manager
Northeast Georgia Health System, Inc
2024-05-07 23:03:02
Gainesville,
Georgia,
United States
Job type: fulltime
Job industry: I.T. & Communications
Job description
Job Category:
Information Technology Work Shift/Schedule:
8 Hr Morning - Afternoon
Northeast Georgia Health System is rooted in a foundation of improving the health of our communities.
About the Role:
Job Summary
The Manager-Data Engineering & Analytics is a highly skilled and experienced leader with the ability to execute our enterprise data strategy, ensuring alignment with business strategy and driving optimal utilization of data resources. This position will manage a team of Analytics Developers, ETL Architects, DBAs and Data Scientists and is responsible for the design, development, and project management of Analytics solutions, including but not limited to building, enhancing and supporting data warehouses, Data Marts - both on prem and in the Cloud, support Epic Cognitive computing data models and develop and support predictive analytics. Working with business customers and leadership team to determine priorities as well working with and mentoring team members on emerging and advanced analytics concepts and strategies is also an integral role of the position. The ideal candidate will possess a strong background in data engineering, analytics, emerging technologies (AI, ML, NLP, Predictive Analytics), and database administration, with a focus on cloud technologies and team leadership.
In this role, the Manager-Data Engineering & Analytics will interface with all departments to understand organizational needs and coordinate innovative solutions, leading the team, and instituting development and operational best practices. This role has production responsibility for the organization's Epic Operational DB (Chronicles), Cogito Databases (Clarity & Caboodle), Cloud Data Platform (Snowflake), ETL Tools (SSIS, Fivetran, CData, dbt), Analytics Tools (Qlik, Astrato), Epic Cognitive Computing Models and Data Science toolset (Dataiku). The Manger - Data Engineering & Analytics supports the organization's Data Governance program through contribution of all assets - dashboards, metrics etc. to the Analytics Catalog, use of all internal & external data sources to deliver data stewardship applications, and by assisting with the definition and adoption of data management principles, standards, processes, and controls across the organization.
Minimum Job Qualifications
- Licensure or other certifications: Certified in Epic Clinical or Revenue Data Model or (or MUST be obtained within 1 year of date of hire).
Certified in one of the Snow Pro Advanced certifications - SnowPro Advanced - Architect, Data Engineer or Data Scientist (or MUST be certified within 1 year of hire date) - Educational Requirements: Bachelor's Degree, preferably in a related field (Computer Science, Business Analytics, Management Information Systems, Data Science)
- Minimum Experience: A minimum of ten (10) years experience with various BI and other analytics platforms with strong preference for EPIC EMR, SQL, ETL tools (SSIS, Informatica, Data Stage, Talend), Analytics tools (PowerBI, Qlik, Tableau), and project management
A minimum of 3 years of managerial/supervisory experience leading a highly, productive team.
Proven experience in analytics, data management, data warehousing or ETL Tools is required
Prior experience providing production level support and/or development in business intelligence (BI)/enterprise data warehouse (EDW) environments, data marts or analytics solutions required.
Must have experience with capacity demand analysis and release planning
Management experience over a highly productive team of analytics developers, architects, data engineers and data scientists
Strong leadership and collaboration skills.
Excellent communication skills and presentation abilities.
Strong SQL, Data & analytics background required. - Other:
Preferred Job Qualifications
- Preferred Licensure or other certifications:
- Preferred Educational Requirements:
- Preferred Experience:
- Other:
Job Specific and Unique Knowledge, Skills and Abilities
- Strong analytical and interpersonal skills; demonstrated ability to work with management, and build strong relationships with customers; proven ability to work independently or as a team member; strong problem solving and troubleshooting skills; shows initiative in enhancing system productivity, functionality, and performance
- Accomplished team-oriented leader with demonstrated results in leading a high-performing team and mentoring, developing and holding the staff accountable to planned deliverables
- Excellent communication (written, verbal and presentation) and people-facing skills, Proven ability to maintain positive peer, leadership and customer relationships, interacting positively and productively with teams across organizational lines.
- Demonstrates skills in leadership, critical thinking, and consensus and relationship building with the ability to collaborate effectively with cross-functional teams.
- Strong ability to organize, prioritize and make decisions. Demonstrates ability to lead strategic planning to manage data and IT systems, oversee implementation and operations of IT projects, and manage agency and internal IT resources. Be able to manage multiple concurrent objectives or activities, and effectively make judgments in prioritizing and allocating resources in a fast-paced environment
- Ability to think logically and analyze and enhance work flow efficiencies and problem solve system issues
- Must be able to function in dynamic environment subject to changes in schedules and priorities, working on multiple projects/ issues concurrently. Responsibilities may require occasional evening and weekend work in response to needs of the systems supported.
- Understand Machine Learning and AI concepts.
- Fiscally responsible, experienced in managing budgets
- Experience in analytics specification gathering, review, design, estimation and general planning for execution, monitoring and control
- Hands-on with ability to design, re-design data architecture, end to end solution design (data modeling, data governance etc.), and probe and guide the team
- Possess a solid understanding of data architecture and data governance, data warehousing concepts, including relational and multidimensional modeling
- Experience in performance tuning of ETL and reporting applications; strong in SQL
- Be data driven: be data literate, curious, skeptical, communicative, action-oriented
- Advanced understanding of the full reporting delivery life cycle, from requirements definition to report development and testing required as well as understanding of data management best practices and proper use of data management technologies
Essential Tasks and Responsibilities
- Manages a team of Analytics Developers, ETL Architects, DBAs and Data Scientists using Agile software development practices and methodologies in the design, development, and project management of end-to-end enterprise analytics solutions.
- Assists Director of Data and Analytics with policies and procedures related to data security and integrity.
- Work with cross-functional teams, stakeholders, and vendors for seamless enterprise data management team functionality and to achieve team/department goals.
- Collaborate with Reporting & Self-Service team/manager to provide a seamless and superior end user experience with Reporting & Analytics. Work with the Manager of Reporting and Self Service on the development and communication of the organization's Analytics Catalog and Asset catalogs.
- Build strong relationships with peers and business customers; maintains a service-oriented approach with customers, providing follow up and responding to issues/ concerns in a timely manner. Responsible for ensuring service level agreement adherence.
- Manages the customer relationships with the operational managers and directors of NGHS services by gathering and exchanging information, designing solutions to problems, and coordinating services to ensure optimal outcomes are achieved.
- Work with Director of analytics to develop and implement an enterprise data strategy aligned with business strategy. Identify internal and external data sources and create a comprehensive data management plan.
- Must be process oriented and demonstrate the ability to build and lead high performing teams.
- Drive culture and provide leadership for the data engineering team, specializing in Analytical Solutions and Architectural leadership
- Manage upgrade, update or enhancement efforts associated with the EMR and business intelligence tools.
- Documents procedures and standard work for technical areas, provides cross training to team members to ensure repeatable and consistent process are replicated throughout the technical team.
- Manage the installation, configuration, and maintenance of all Epic and non-Epic environment databases. Work with the Infrastructure team to implement and maintain a robust database DR strategy.
- Manage database availability, performance tuning, security, and ongoing evolution of the architecture. Implement a proactive approach to monitoring and reporting tools for optimum database performance levels.
- Work with Director of Analytics to establish and enforce data governance policies and build out a program to improve data literacy across the organization.
- Ensure data security and compliance with regulations click apply for full job details