Manager Data Engineering & Analytics (Healthcare)

Title: Manager Data Engineering & Analytics

Location: Gainesville, GA, 30507 (Hybrid)

Type: Full Time Permanent

Industry: Hospital and Healthcare.

Job Summary:

The Manager-Data Engineering & Analytics oversees our enterprise data strategy, managing a team responsible for designing, developing, and managing analytics solutions. This includes data warehouses, Data Marts (on-premises and in the Cloud), and predictive analytics. The role involves collaborating with business stakeholders, mentoring team members, and ensuring alignment with emerging analytics concepts and strategies.

Minimum Job Qualifications:

• Certified in Epic Clinical or Revenue Data Model (or must be obtained within 1 year)
• Certified in one of Snow Pro Advanced certifications (or must be certified within 1 year)
• Bachelor's Degree in a related field
• Minimum 3 years of managerial experience leading a productive team.
• 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.

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.
• 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.
• 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.
• Lead the team in building out a Center of Excellence for Analytics and build a Citizen Developer program.
• Manage the Data Engineering and Analytics Teams, including hiring, goal setting, performance reviews, and build out Professional Development plan for staff.
• Collaborate with the Director and Chief of Analytics and enterprise architects to ensure consistency and alignment.
• Provide architecture oversight to Agile Teams for data projects (ELTs, Snowflake, Data warehouses, Cloud Analytics).
• Guide the team in building our documentation templates & standards to document architecture frameworks and ensure compliance with the organization's database standards.
• Build and socialize ELT Center of Excellence.
• Support the implementation, validation, and rollout of Epic predictive models.
• Work with the business and BI Leadership on Generative AI strategy.
• Round on internal clients to understand their data, analytical, and reporting needs.
• Participates in MOD (Manager on Duty) on-call rotation.
• Attends and facilitates daily Tiered readiness huddles and escalates any readiness issues that cannot be resolved to a higher-level Tiered Huddle (Tier 2/3)
• Provide input into the Information Technology policies, Strategic Plan and annual IT budget and manages departmental spending with leadership peers ensure expenditures are within this budget.
• Handles escalations related to user access or data management issues. Designs and manages strategies and solutions for all database management systems team members within the organization.
• In collaboration with the Director, manages the various governance committees to ensure that report requests are reviewed and prioritized appropriately, data is being defined across the enterprise, as appropriate, and there is adoption of data management principles, standards, processes, and controls across the organization.
• Participate & contribute to AI Ethics and Governance committee for the organization.
• In collaboration with the Director of Data and Analytics and other organizational leadership, develop standard processes and methodologies to increase implementation and utilization of predictive risk models throughout the organization leveraging Epic's cognitive computing platform as well as other models and tools that may be applicable.
• Monitors incident management queue. Efficiently troubleshoot, resolve, report, and close active issues.
• Leads the implementation of the enterprise data warehouse/cloud data lake and modeling efforts. Work with team members and vendors/consultants in building data marts and analytics dashboards.