Director, Data and AI Architecture

Cari; København; Hybrid; DKK 1,100,000 - 1,400,000; Full time

Job summary

Novo Nordisk seeks a senior Data & AI Architecture lead to shape technology strategy and drive scalable architecture across the organization. You will connect enterprise tech with business needs, data governance, and emerging AI capabilities in a federated, matrix setup.

You will guide data platform design, cloud adoption, and governance, ensuring compliant, secure data solutions for analytics and AI products across global teams. Strong leadership and stakeholder influence are essential.

Qualifications

• Master’s degree or PhD in data, computer science, information management, or a related field.

Responsibilities

• Data Architecture Strategy - Develop and execute a comprehensive data and analytics architecture strategy aligned with business objectives.
• Data Platform Design and Implementation - Lead design of scalable data and analytics platforms including cloud, AI, master data management, data quality, data visualisation, and data cataloguing.
• Solution Architecture for Data and AI Products - Oversee design and implementation of data and AI products with efficient data movement, transformation, accessibility, analytics, and reporting.
• Advanced Analytics and AI Architecture - Provide leadership for advanced analytics and ML by establishing platform infrastructure and tools.
• Cloud and On-Premises Architecture - Define hybrid-cloud and on-premises data architecture solutions and select technologies for workloads.
• Data and AI Security and Governance - Ensure solutions follow governance and security policies and regulatory requirements.
• Technology Roadmap and Governance - Define technology roadmap and governance for data, analytics and AI; manage vendor relationships.
• Thought Leadership - Stay current with trends and represent the organisation in industry events.
• Cross-Functional Collaboration - Partner with tech and business teams to align AI solutions with business architecture.
• Compliance and Risk Management - Ensure data activities comply with global regulatory requirements and industry standards.
• Performance and People - Manage analytics portfolio, track progress, and develop talent.

Skills

Data architecture

Cloud platforms

Leadership

Communication

Strategy development

Regulatory compliance

Cross-functional collaboration

AI & ML concepts

Education

Master’s degree or PhD in data/CS/ information management

Tools

Cloud data platforms

Data warehousing

Job description

Location: Ballerup - Copenhagen , Zealand , Denmark Salary: Competitive Type: Permanent Main Industry: Search Agriculture, Fisheries & Forestry Jobs Other Industries & Skills: Construction, Engineering, Finance, Banking & Insurance, Information Technology, Legal, Management & Executive Job ID: 133495399 Posted On: 23 September 2026

Are you passionate about using data and AI to improve business outcomes and advance solutions for serious chronic diseases? Do you have strong experience shaping business and technology architecture for data and analytics in a regulated environment? Join Novo Nordisk and help build the scalable, secure, and compliant architecture that enables data, analytics, and AI across the organisation.

Your new role

Lead data and AI architecture initiatives across Novo Nordisk. You will shape the technology strategy, drive the development of scalable architecture, and guide the deployment of effective data and AI solutions to solve complex business challenges. Working across a federated, matrix organisation, you will connect enterprise technology, business needs, data governance, and emerging AI capabilities.

Your main responsibilities include:

• Data Architecture Strategy - Develop and execute a comprehensive data and analytics architecture strategy aligned with business objectives and digital transformation initiatives.
• Data Platform Design and Implementation - Lead the design of scalable and robust data and analytics platforms, including cloud, AI and machine learning, master data management, data quality, data visualisation, and data cataloguing.
• Solution Architecture for Data and AI Products - Oversee the design and implementation of data and AI products, ensuring efficient capabilities for data movement, transformation, accessibility, analytics, and reporting.
• Advanced Analytics and AI Architecture - Provide architecture leadership for advanced analytics, machine learning, and AI by establishing the platform infrastructure and tools needed to support data science initiatives.
• Cloud and On-Premises Architecture - Define and design hybrid-cloud and on-premises data architecture solutions, evaluating and selecting technologies and services for data and analytics workloads.
• Data and AI Security and Governance - Collaborate with data and AI governance and security teams to ensure that architecture solutions follow governance policies, security measures, and regulatory requirements.
• Technology Roadmap and Governance - Define the technology roadmap for data, analytics, and AI; establish governance and controls; and develop vendor relationships that support architecture initiatives.
• Thought Leadership and Industry Engagement - Stay current with emerging trends, tools, and methods in data and analytics architecture, and represent the organisation in industry forums and events.
• Cross-Functional Collaboration - Partner with technology and business teams to identify opportunities for advanced analytics and ensure AI solutions are integrated into business architecture and portfolios efficiently and sustainably.
• Compliance and Risk Management - Ensure data activities comply with global regulatory requirements and industry standards, including GxP and 21 CFR Part 11. Maintain awareness of regulatory changes and drive compliance initiatives to minimise business risk.
• Performance and People - Manage and execute the product portfolio within agreed timelines, quality standards, and budget. Track the advancement of analytics capabilities, demonstrate business outcomes, and support the development, retention, engagement, and satisfaction of top talent.

Your Skills and Qualifications

• Master’s degree or PhD in data, computer science, information management, or a related field.
• 12+ years of experience in data and analytics, including at least 7 years leading architecture in a regulated industry.
• Proven track record designing and implementing scalable data and analytics architecture using cloud technologies, modern data architecture principles, and data-governance best practices.
• Deep expertise in data architecture, data modelling, data integration, metadata management, and data governance, with proficiency in cloud data platforms, data warehousing, and analytics tools and frameworks.
• Familiarity with regulatory requirements and data standards specific to life sciences.
• Experience working with cross-functional, distributed teams and driving innovation with emerging technologies in life sciences.
• Leadership and communication skills, with the ability to influence at all levels of the organisation and communicate clearly with senior stakeholders and global teams.
• Ability to work effectively in a matrix organisation, adapt to changing situations, and operate with ambiguity.
• Business acumen and the ability to improve business processes through the pragmatic use of data and AI to deliver impact.
• Strong leadership and people-management skills, with the ability to inspire and empower teams to achieve ambitious technical goals.

Working at Novo Nordisk

Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with an unconventional spirit, a rare determination and a constant curiosity. For over 100 years, this unordinary mindset has seen us build a company unlike any other. One where a collective passion for our purpose, mutual respect and a willingness to go beyond what we know delivers extraordinary results.

What we offer

There is, of course, more on offer here than the uniqueness of our culture and the extraordinary results we produce. Being part of a global healthcare company means opportunities to learn and develop are all around us, while our benefits are designed with your career and life stage in mind.

Salary: The placement within the salary range will be assessed during the recruitment process based on the candidate’s skills, competencies, knowledge, and relevant experience. Further details will be shared during the recruitment process.

Incentives and Benefits: The salary package may include short-term and/or long-term incentives as well as other employee benefits based on position level, location, functional area, and relevant market benchmarks.

Learn more about our Reward Philosophy here.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.

At Novo Nordisk, we’re not chasing quick fixes - we’re creating lasting change for long-term health. For over 100 years, we’ve been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what’s possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we’re making healthcare more accessible, treating and preventing diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger - a legacy of impact that reaches far beyond today.