Technology Delivery Lead

Job Description

Project Role : Technology Delivery Lead Project Role Description : Manages the delivery of large, complex technology projects using appropriate frameworks and collaborating with sponsors to manage scope and risk. Drives profitability and continued success by managing service quality and cost and leading delivery. Proactively support sales through innovative solutions and delivery excellence. Must have skills : SAP SuccessFactors Employee Central Good to have skills : SAP SuccessFactors Employee Central Time Off Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Delivery Lead, you will manage the delivery of large, complex technology projects using appropriate frameworks and collaborating with sponsors to manage scope and risk. Your role will involve driving profitability and continued success by managing service quality and cost and leading delivery. Additionally, you will proactively support sales through innovative solutions and delivery excellence. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Manage the delivery of large, complex technology projects using appropriate frameworks. Collaborate with sponsors to manage scope and risk. Drive profitability and continued success by managing service quality and cost. Lead delivery and ensure delivery excellence. Proactively support sales through innovative solutions. Professional & Technical Skills: Must To Have Skills:Proficiency in SAP SuccessFactors Employee Central. Good To Have Skills:Experience with SAP SuccessFactors Employee Central Time Off. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: Certificate is Mandatory A 15 years full time education is required. Qualifications 15 years full time education