.OverviewWe Are PepsiCoJoin PepsiCo and Dare for Better! We are the perfect place for curious people, thinkers and change agents. From leadership to front lines, we're excited about the future and working together to make the world a better place. Being part of PepsiCo means being part of one of the largest food and beverage companies in the world, with our iconic brands consumed more than a billion times a day in more than 200 countries. Our product portfolio, which includes 22 of the world's most iconic brands, such as Sabritas, Gamesa, Quaker, Pepsi, Gatorade and Sonrics, has been a part of Mexican homes for more than 116 years. A career at PepsiCo means working in a culture where all people are welcome. Here, you can dare to be you.ResponsibilitiesThe OpportunityThe Tech Support Lead will lead a team of data engineers, database developers, and data analysts to sustain and enhance existing data analytic and dashboard solutions for supply chain performance managers, decision-makers, specialists, and frontline personnel. This role will oversee the support team activities and ensure that end user's questions and issues are addressed promptly and effectively. In addition to leading the sustainment team, this role will also lead enhancement activities and participate in technical development.Your ImpactAs a Tech Support Lead, your responsibilities would consist of:Project Management: Lead the support agenda for analytics tools, including box monitoring, response, and communications to users and prioritization of support issues. Ensure that analytical solutions are running efficiently and up to date and support SLAs are met. Own end-to-end analytic solutions, including UX, Data Models, ETL Design and Code, Front End (Tableau, PowerBI Dashboards, or Web Apps) and the support documentation. Oversee the team to maintain and enhance the existing analytical solutions. Ensure that documentation is kept up to date. Lead enhancement activities in an Agile approach, using Azure DevOps to organize, track, and measure the team's progress. Partner with IT and data subject matter experts to assess each project's requirements and available data limitations. Identify paths to resolution or alternative options, incorporating these into the project. Host and drive various venues, including support ticket assignments, critical issue/incident resolutions, and enhancement prioritization. Implement and oversee quality assurance processes to ensure the reliability and performance of the existing analytical solutions. Conduct testing and code reviews, data exploration, and data validations for defects and enhancements.Stakeholder Engagement: Partner closely with End users and Stakeholders from Field to understand business and analytics needs. Collaborate, consult with, and inform various stakeholders to ensure visibility and alignment throughout the support and enhancement process
