Assoc Dir Data/AI Solutions Architect

Senior AI & Data Solutions Architect

Location - Ballerup

Your new role

The Senior AI & Data Architect is responsible for designing scalable, secure, compliant, and value-driven AI and data solution architectures that enable successful execution of strategic AI initiatives. 

This role partners closely with AI Product Owners, Enterprise Architects, Platform teams and delivery leads (Data Scientists, Data & AI Engineers) to translate business needs into robust technical solution designs. The Senior AI & Data Architect ensures that AI and advanced analytics initiatives are technically feasible, strategically aligned, reusable, governed, and ready for enterprise-scale deployment. 

Your key responsibilities include:

 AI & Data solution architecture 

• Lead the architecture design for complex AI, advanced analytics, and data product initiatives across Commercial functions.  

• Translate business requirements and success criteria into scalable technical solution concepts, data flows, architecture designs, and implementation roadmaps.  

• Partner with AI Product Owners to pressure-test use cases for technical feasibility, architectural complexity, data readiness, scalability, and delivery risks.  

• Define solution architecture across data ingestion, data engineering, feature engineering, model development, model deployment, integration, monitoring, and user consumption layers.  

• Ensure solutions are designed for scalability, maintainability, performance, security, and long-term operational ownership.  

• Provide architectural guidance from ideation through deployment and value realization. 

2. Technical leadership across AI delivery lifecycle 

• Lead technical design discussions across Data Science, AI Engineering, Data Engineering, Platform, Architecture, Security, Legal, Privacy, Compliance, and business teams.  

• Influence technology choices, architecture decisions, solution patterns, and delivery roadmaps for AI and data initiatives. 

• Guide end-to-end technical delivery for strategic AI and data projects, ensuring alignment between business objectives, technical implementation, and enterprise standards.  

• Identify technical dependencies, constraints, risks, and mitigation plans early in the use case lifecycle.  

• Ensure technical designs are pragmatic, reusable, and aligned with delivery timelines and business priorities. 

3. Data Architecture & Data Strategy 

• Define data architecture for AI and analytics solutions, including data sourcing, integration, transformation, storage, quality, lineage, and access patterns.  

• Assess data availability, quality, usability, ownership, and governance requirements for AI use cases.  

• Collaborate with Data Owners, Data Stewards, Data Engineers, and business teams to ensure AI solutions are based on trusted and governed data.  

• Recommend data product designs and reusable data assets that support multiple AI and analytics use cases.  

• Promote standardization of data models, semantic layers, metadata, and data governance practices.  

4. AI Architecture, MLOps & GenAI Enablement 

• Define architecture patterns for Machine Learning, Generative AI, Natural Language Processing, predictive analytics, optimization, and decision-support solutions. 

• Guide model development and deployment approaches, including experimentation environments, model lifecycle management, monitoring, retraining, and performance tracking. 

• Ensure implementation of MLOps and LLMOps practices for production-grade AI solutions. 

• Define architectural guardrails for prompt engineering, retrieval-augmented generation, vector databases, model selection, evaluation, observability, and human-in-the-loop controls. 

• Support teams in selecting appropriate AI models, platforms, frameworks, APIs, and integration approaches. 

5. Enterprise Architecture, Governance & Compliance 

• Ensure all AI and data solution designs align with enterprise architecture principles, technology standards, security patterns, compliance requirements, and governance frameworks.  

• Recommend standards, best practices, and governance mechanisms for AI solution development and deployment.  

• Partner with Enterprise Architecture, Cybersecurity, Legal, Privacy, Compliance, and Responsible AI teams to ensure solutions meet internal and external requirements.  

• Document architecture decisions, solution designs, design trade-offs, risks, and governance approvals.  

• Support architecture review boards and technical governance forums.  

• Promote consistent use of approved platforms, reusable components, integration standards, and deployment patterns. 

6. Stakeholder Engagement & Cross-Functional Collaboration 

• Communicate complex technical concepts in clear business language to senior stakeholders.  

• Facilitate technical workshops for solution design, data discovery, architecture alignment, integration planning, and acceptance criteria definition.  

• Prepare architecture recommendations, solution options, risk assessments, and technical decision papers for leadership discussions.  

7. Reusable Frameworks, Standards & Capability Building 

• Develop and maintain reference architectures, reusable design patterns, architecture playbooks, and technical guardrails for AI and data solutions.  

• Identify opportunities to standardize and industrialize repeated AI delivery patterns.  

• Mentor Data Scientists, Data Engineers, AI Engineers, Solution Architects, and technical leads on architecture best practices.  

• Maintain up-to-date knowledge of industry trends, advancements in AI, data technologies, cloud platforms, and architecture practices. 

Your new department:

This role partners closely with AI Product Owners, Enterprise Architects, Platform teams and delivery leads (Data Scientists, Data & AI Engineers) to translate business needs into robust technical solution designs. The Senior AI & Data Architect ensures that AI and advanced analytics initiatives are technically feasible, strategically aligned, reusable, governed, and ready for enterprise-scale deployment. 

The role is critical in de-risking AI delivery by guiding technology choices, architecture decisions, data strategy, integration patterns, platform usage, Responsible AI controls, and solution scalability across the AI use case portfolio. This directly complements the AI Product Owners role, which focuses on business problem framing, prioritization, stakeholder engagement, and value realization. 

Skills & Qualifications.

• Bachelor’s degree in computer science, Engineering, Data Science, Information Systems, Applied Mathematics, Statistics, or a related field. 

• Master’s degree in data science, AI, Computer Science, Engineering, Business Analytics, or equivalent experience preferred.  

• Architecture, cloud, data, AI, or security certifications are an advantage. 

• 10+ years of experience in AI/data solution architecture, enterprise architecture, data engineering, analytics, or digital solution delivery.  

• 5+ years of experience designing and delivering data, analytics, AI, Machine Learning, or cloud-based solutions.  

• Proven experience architecting enterprise-scale data and AI solutions in complex, matrixed organizations.  

• Experience working with senior business stakeholders and technical teams to translate business needs into scalable technical designs.  

• Experience with data platforms, cloud architecture, APIs, data integration, data governance, security, privacy, and production-grade AI deployment.  

• Experience guiding cross-functional teams across Data Science, Data Engineering, AI Engineering, Platform, Security, Architecture, and business functions. 

Working at Novo Nordisk

Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with determination, constant curiosity and a commitment to finding better ways forward. For over 100 years, this dedication has driven us to build a company focused on lasting change for long-term health. One where diverse thinking, shared purpose and mutual respect come together to create extraordinary results. When you join us, you're not just starting a job – you're becoming part of a story that spans generations.

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

For this role, the Annual Base Salary ranges from 847,000.00 to 1,245,100.00 DKK, corresponding to the level of the position.

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

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.

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.