Associate Director, Analytics Transformation and AI Enablement

About the Department 

The Finance & Operations department brings insights and intelligence to inform decision making & drives digitalization and business solutions to attain NNI goals. Finance & Operations works closely across the organization to guide enterprise-wide resource allocations, investment choices, drive core operations and develop insights to drive growth and operational excellence across the value chain while innovating for future capabilities. Our focus on innovation ensures we're constantly building future capabilities. We're responsible for regulating accounting, upholding workplace safety, managing our supply chain and sampling, supporting technological and data innovation, maintaining our facilities and assuring the integrity and completeness of all business transactions. At Novo Nordisk, you will have the opportunity to build a career in a global business environment. We encourage our employees to make the most of their talent, and we reward hard work and dedication with opportunities for continuous learning and personal development. Are you ready to maximize your potential with us?

The Position

The Associate Director, Analytics Transformation and AI Enablement is accountable for defining the data foundation that will power Novo Nordisk's US Commercial AI ambitions and for leading the continuous transformation of commercial analytics capabilities to ensure trusted, accessible, and modern insight delivery. Serving as a strategic leader and subject matter authority on AI-ready data and analytics capabilities, this role defines the data requirements, quality standards, and integration pathways needed to support prioritized AI use cases across commercial operations -- while simultaneously optimizing Novo Nordisk's business intelligence platforms, governing enterprise metrics, streamlining reporting, and pioneering the next generation of AI-augmented analytics engagement. By establishing the data foundation that enables AI to deliver reliable, high-impact commercial decisions, and by elevating the analytics capability stack that commercial stakeholders rely on every day, this role plays a central part in positioning Novo Nordisk's US Commercial organization to realize the full value of its data and analytics investments -- accelerating AI readiness, modernizing analytics engagement, and ensuring commercial teams have the trusted insights they need to compete and win.

Relationships

The Associate Director, Analytics Transformation and AI Enablement reports to the Director / Senior Director, Data & Analytics Strategy. This role maintains frequent interaction with leaders and stakeholders across Novo Nordisk Inc., including Enterprise Insights & Analytics, Marketing, Sales, IT, Market Access and Advanced Analytics to ensure AI-ready data foundations and analytics capabilities are aligned to commercial business needs and enabling effective, insight-driven decision-making.

Essential Functions

• AI Data Strategy & Enablement
  • Define and own the commercial data foundation required to support prioritized AI use cases across US Commercial operations, ensuring alignment with NNI's enterprise AI roadmap
  • Establish clear data requirements, quality standards, and integration pathways that enable AI models — including generative and agentic applications — to deliver reliable, actionable commercial outputs
  • Partner with Advanced Analytics, DD&IT, and enterprise AI teams to ensure commercial data assets are structured, governed, and accessible to power high-impact AI initiatives
  • Identify and close data readiness gaps that may impede AI adoption, driving a continuous readiness assessment across commercial data domains
• Analytics Capabilities Transformation
  • Own and optimize Novo Nordisk's US Commercial business intelligence platforms, including Tableau and Power BI, ensuring they are performant, scalable, and aligned to evolving commercial needs
  • Lead the governance of enterprise metrics and reporting — defining standards, streamlining report inventories, and eliminating duplication to ensure commercial stakeholders operate from a trusted, single source of truth
  • Advance data and analytics cataloging to improve discoverability, transparency, and self-service access across commercial users
  • Drive continuous improvement of the analytics capability stack, assessing emerging tools and platforms and guiding investment decisions
• Next-Generation Analytics Engagement
  • Pioneer the adop