Copy of Data Analytics and AI/ML Solutions Architect

About This RoleAs a Data Analytics and AI/ML Solutions Architect, you will be an integral member of the PO&T IT Data Analytics team. Your primary responsibility will be to develop and deploy advanced AI and ML solutions that support our business users in supply chain, lab, quality, and manufacturing. Your role serves as a tactical and strategic IT liaison to the business, through building and fostering partnerships and providing recommendations to address and resolve business issues, improve business processes and leverage Gen AI /ML techniques to deliver value to the PO&T organization. You will manage the full lifecycle of AI/ML solutions, from conception to deployment, while ensuring these solutions drive value and efficiency within the PO&T organization. As a key player in our data-driven initiatives, you will be crucial to the transformation of our business processes through innovative AI/ML techniques, positioning yourself as a cornerstone of Biogen's operational success.This is a hybrid role based in Cambridge, MA or RTP, NC.What You’ll DoManage projects and teams to design, build, and optimize machine learning models and AI solutions to address complex business challenges.Manage MSP support teams for deployed AI/ML solutions, ensuring their effective operation.Design, develop, and maintain Business Intelligence solutions, transforming raw data into actionable business insights.Collaborate with other data scientists, software engineers, and product teams to align AI initiatives with strategic business goals.Implement cutting-edge algorithms for tasks such as classification, regression, clustering, NLP, or computer vision.  Integrate these models into production environments and ensure scalability, performance, and reliability.Manage development tools and processes to monitor model performance, updating models as needed to maintain accuracy and effectiveness.Lead requirements gathering and facilitate the testing, deployment, and support of analytics products.Collaborate closely with IT System Owners to understand and develop data sets for AI/ML models.Work with DMA teams on data integration, data science platforms, and data visualization initiatives.Plan and manage multiple parallel enhancement projects, coordinating with various teams to prioritize tasks and resources.Assign tasks to project teams, overseeing the delivery and approving project deliverables.