Department: GDAI (Global Data and AI) Product Supply and Quality Are you a people manager who is passionate about data engineering and possess hands:on ex:perience in the field? Do you have a robust technical background coupled with ability to guide, inspire, and manage engineering teams and projects within an organization? If so, we invite you to explore an exciting opportunity with us We are seeking a Solution Delivery Manager to lead our Global Supply Chain Data and Analytics team at Novo Nordisk.Apply Now andjoin us in driving innovation and excellence in our data:driven solutions Apply Now The position You as a Solution Delivery Manager towards Global Supply Chain Data and Analytics will lead the tactical direction, development, and execution of the company's data:driven initiatives with a focus on Global Supply Chain as well as interfacing functions within the Product Supply and Quality domain. Key responsibilities for the role are: : Data strategy and leadership: Develop and implement a tactical road map in close collaboration with LoB (Line of Business) to deliver on Global Supply Chain's strategic aspirations within Data and Analytics. You shall act as a trusted partner within Data and Analytics towards Global Supply Chain, ensuring seamless integration of data from various sources (e.g., SAP, MES, Demand forecast, quality deviation) to Global Supply Chain pipelines. You shall ensure adherence to corporate data governance frameworks to ensure data quality, security, and compliance with regulatory standards (e.g., FDA, EMA, HIPAA). : Advanced Analytics and Innovation: Lead the development and maintenance of data, advanced analytics products and platforms utilizing machine learning, AI (Artificial Intelligence), to drive business value in Global Supply Chain. Foster a culture of innovation, ensuring the team stays at the forefront of emerging technologies, such as AI:driven Digital twin, control towers. : Technology Infrastructure and Tools: Oversee the design and management of scalable data architecture and technology platforms that support high:volume data processing (e.g., cloud:based infrastructures, data lakes). Oversee the management and integration of ERP, MES, SCM, QMS, sensor / IOT data, to support strategic aspirations in Global Supply Chain. : Cross:Functional Collaboration: Partner with business teams to identify opportunities for leveraging data and analytics to drive improved technical operations. Partner with IT team supporting line of business to ensure the data and analytics solutions are well integrated in business architecture and business portfolio. : Team Leadership and Development: Build and lead a high:performing and distributed team of product managers, data engineers, scientists, analysts, and technologists. Mentor and develop staff, fostering a data:driven culture and ensuring continuous professional growth within the team. : Compliance and Risk Management: Ensure all data activities are compliant with global regulatory requirements and industry standards (e.g., GxP, 21 CFR Part 11). Oversee risk management strategies related to data privacy, security, and ethical use of data in Commercial. Maintain up:to:date knowledge of regulatory changes and drive compliance initiatives to minimize business risk. : Performance Metrics: Manage and execute product portfolio within timeline, quality, budget. Ensure data and analytics are being used to drive informed decision:making across departments. Evaluate the development and retention of top talent, as well as team engagement and satisfaction. Qualifications To succeed in this role, you have: : Master's degree or PhD in Data, Data Science, Computer Science, AI, or a related field. : Overall 12+ years of experience as Data practitioner, with proven experience moving ideas into productive solution in a regulated industry and 5+ years of experience in data and