Publix Super Markets

Compensation

Full Description

About the position Responsibilities • Facilitate requirements gathering sessions to document business and system requirements with business units, project sponsors, and technology teams utilizing an Agile approach • Serve as a product champion including conveying product visions, prioritizing work for products, and monitoring deliverables to ensure timely completion • Communicate product and project status with leadership, sponsors, stakeholders, and upper and executive management • Implement and maintain solutions that utilize machine learning, AI, and the Databricks' platform • Work with other Business Systems Analysts to document business processes, gather requirements, and uncover areas for improvement • Partner with stakeholders, data engineers, data scientists, architecture, security, compliance, and internal audit to develop detailed implementation plans for complex technology solutions, designing compliant, secure, stable, and reliable solutions that comply with HIPAA standards • Adhere to product delivery processes including overseeing system access, protecting data, procuring hardware and software, and engaging vendors • Obtain agreements on purpose, scope, and limitations on proposed technology solutions with vendors, business areas, and other technology teams under minimal guidance • Advocate on behalf of the business units to ensure solution designs meet user requirements and effectively and efficiently address business process needs • Perform problem determination and determine escalation paths for complex issues • Participate in team on-call support rotation that provides 24/7 systems support for complex issues, determining root causes, developing workarounds, and communicating issues with our vendors for resolution delivery • Maintain strong analytical, planning, problem solving, writing, and presentation skills Requirements • Bachelor's degree in computer science, Business, or a related analytical field or equivalent experience • 3+ years of experience analyzing and translating complex enterprise business improvements, problems, or processes into detailed business requirements for technology solutions, with consideration for system performance, usability, quality, cross-system dependencies, scalability, and total cost of ownership • 3+ years of experience working with enterprise database management systems such as SQL Server or Oracle • 3+ years of experience implementing large-scale data manipulation processes • 2+ years of experience driving and implementing solutions that utilize machine learning and artificial intelligence technologies • Proficient in writing complex queries using an ANSI-compliant SQL language against an enterprise relational database management system • Experience working in a 24/7 on-call support rotation position Nice-to-haves • 5+ years of experience analyzing and translating complex enterprise business improvements, problems, or processes into detailed business requirements for technology solutions, with consideration for system performance, usability, quality, cross-system dependencies, scalability, and total cost of ownership • 5+ Years knowledge and experience working with pharmacy systems including working with business and technical audiences • 5+ years of experience implementing large-scale data manipulation processes • 5+ years of experience working with relational databases • Experience implementing and maintaining solutions that utilize machine learning and artificial intelligence • Experience with Azure DevOps for managing project tasks, managing code repositories • Experience performing data analysis through creating and executing queries, interpreting results, and communicating findings to technical and business audiences • Experience with supporting solutions requiring adherence to regulatory and compliance controls in accordance with company policies and standards • Experience in implementing enterprise applications using platform services like azure App service, Azure SQL, Azure Service Bus, notification hubs, event hubs, Microservices, stream analytics, Snowflake DB, Redis Cache, OpenAPI, IoT Hub, application insights, etc.