Project Data Manager

As a Project Manager, you will be responsible for managing and delivering all assigned projects within the agreed time frame, allocated budget, resources, and quality criteria. This includes managing project risks, developing contingency plans, and handling communication with stakeholders. You will define project baselines to measure progress, evaluate deviations, and take corrective actions. Additionally, you will interpret data analyses, develop action plans, and assist in making strategic data-related decisions. You will follow Agile principles and frameworks while working on projects, ensuring all agile disciplines are met. Collaboration with various functions within Orange Business to design solutions leveraging complex Data Analytics, AI, and Intelligent Automation technologies is a key aspect of this role. Leading the design and delivery of Data Analytics, Governance, AI, and automation solutions for the business will be part of your responsibilities. In this role, you are expected to advise stakeholders on Data & AI strategy, detailed use cases, and industry-leading practices. You will formulate and deploy Data Analytics & AI strategies, create blueprints, roadmaps, and oversee solution delivery projects. Being an individual contributor or overseeing a small team effort is essential, along with developing tools and methodologies for practical application of Data & AI technologies. To be successful in this role, you should possess a bachelor's degree in science, computers/IT, engineering, or commerce. Professional certifications in Data Analytics, Governance, Artificial Intelligence, or Project Management (SCRUM, PRINCE2, PMP, Six Sigma, ITIL) will be advantageous. The ideal candidate will have advanced expertise in Data Analytics or Data Science and demonstrate extensive experience in designing and delivering Analytics, Data Quality & Governance, or AI solutions for business. Your ability to work well in a team, communicate effectively with stakeholders, and drive Data & AI strategy initiatives will be crucial. Strong knowledge and experience in database structures, Data Quality & Governance, and AI application landscape are required. You should be able to coordinate multiple projects simultaneously, drive initiatives, and possess excellent interpersonal and communication skills to succeed in this role.,