Data & AI Governance Business Analyst

The position

As a Data & Al Governance Business Analyst, you will support critical work to enable accelerated use of data for Al activities in a compliant way. You will support gathering end-to-end requirements for high-priority Data & Al activities to enable efficient processes and fit-for-purpose technology support. The role holder must demonstrate an excellent ability to communicate and analyse stakeholder needs for the use of Data & Al across a broad range of disciplines and have a passion for driving business value to customer groups. Another core component of the role is to support driving improvement of the Data Access & Al Policy, including defining and monitoring performance against KPIs, conducting process improvements in response to additional scope, evolving external laws & regulations and internal data governance and access policies. In performing this role, your work will enable efficient use of data for Al activities in compliance with external Data & Al laws and regulations, ensuring that our data scientists are accelerated in their Data Access and Al work, driving innovative science. As a Data & AI Governance Business Analyst , you will have the opportunity to: Developing and executing business analysis plans to drive the success of Data & AI projects. AS-IS and TO-BE process mapping in response to additional scope, evolving external laws & regulations, and internal data governance and access policies. End-to-end requirements gathering and assessment, including planning and running requirements analysis activities. Monitoring Al projects to ensure internal stakeholders achieve desired outcomes, and plan tactical and strategic improvements based on output. Support the establishment of an inventory of Al projects with documented Al risk assessment and appropriate meta-data to be inspection-ready. Support with process & tech impact assessment for evolving external laws & regulations such as the EU AI Act. Establish KPIs and monitoring/assurance approach for internal performance against evolving data governance and policies. Support establishing best practices for the development of technical tools to ensure compliance with external requirements (e.g. EU AI Act). Qualifications To succeed in this role, you should have: Hold a degree or equivalent in a scientific, technical or engineering discipline. Have a track record of successful business change project work and business process modelling notation. Have a minimum of 2 years of experience as a business analyst. Excel in requirements-gathering techniques with cross-functional stakeholders with the ability to structure and generate robust and testable requirements. Experience in the Pharma industry is a significant advantage. Experience working with data and AI related legislation and policy (e.g. GDPR, GCP, GxP, ) is an advantage. Industry-recognized qualifications in business analysis, e.g., BCS or IIBA, is an advantage. About the Clinical Data Operations & Insights We currently have more than colleagues in Clinical Data Operations & Insights – across Denmark, India, The United Kingdom, North America, and Spain. We are responsible for collecting, processing, and delivering all Novo Nordisk clinical data for further use and analysis as well as for regulatory submissions. Working at Novo Nordisk Novo Nordisk is a global healthcare company headquartered in Denmark. For almost years, we have been driving change to defeat diabetes and other serious chronic diseases. As a result, our treatments today benefit millions of people living with diabetes, obesity, cardiovascular diseases, rare blood diseases and other chronic diseases. We are proud of that. We are proud of our people too, and we employ more than 60, bright and diverse minds in 80 offices worldwide. With us, your bright mind and commitment help us change lives for people worldwide. In exchange, we offer you a seat in a rewarding and purpose-driven culture where your professional and personal development is highly valued. That said, opportunities are many in Novo Nordisk.