Manufacturing Data Architect

Novo Nordisk; Taastrup; Presencial; DKK 743 000 - 1 092 000; Tempo integral

Resumo da oferta

Novo Nordisk in Denmark is seeking a Manufacturing Data Architect to shape how manufacturing data is defined, governed, and reused across Global Manufacturing & Supply. You will bridge shop floor data with enterprise analytics and AI capabilities, defining standards and reusable patterns.

Responsibilities include evolving the GMS Data Target Architecture, creating data contracts and schemas standards, and guiding cross‑functional teams to ensure interoperable data across systems.

Qualificações

• Bachelor's degree in CS, IS, data engineering, automation, IT, or related field.
• 5-7 years in data architecture or data engineering in manufacturing/OT environments.
• Strong knowledge of MES, OT, lab systems, and enterprise data platforms.
• Experience defining data structures, governance, and data contracts across systems.
• Strong stakeholder management and communication skills.

Responsabilidades

• Define and evolve the GMS Data Target Architecture with guardrails and standards.
• Develop end-to-end view of data flows from shop floor to analytics/AI.
• Create reusable data architecture patterns and data products standards.
• Drive governance to reduce duplication and improve data reuse across manufacturing landscapes.
• Provide architecture reviews and coaching to ensure designs align with target architectures.

Conhecimentos

Data architecture

Stakeholder management

Data governance

Data contracts

Interoperability

Manufacturing domain knowledge

Formação académica

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Automation, Information Technology, or related field

Descrição da oferta de emprego

Manufacturing Data Architect

Høje-Taastrup, Denmark

Your impact begins here

Manufacturing data is at the heart of digital transformation, advanced analytics, and artificial intelligence across Global Manufacturing & Supply (GMS). As a Manufacturing Data Architect, you will shape how manufacturing data is defined, structured, governed, and reused across a global organisation. Your work will provide the architectural foundation that enables trusted, contextualised, and interoperable data, supporting critical operational, analytical, and AI-driven decisions.

In this role, you will bridge the gap between manufacturing operations and enterprise digital capabilities. By defining standards, architectural guardrails, and reusable patterns, you will help create a more connected data landscape that supports scalable digital and AI ambitions across GMS.

What You'll Bring

You are an experienced data architecture professional who enjoys solving complex challenges and influencing stakeholders across technical and business communities. You combine strategic thinking with the ability to translate business needs into practical architectural direction.

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Automation, Information Technology, or a related field.
• 5-7 years of experience in data architecture, information architecture or data engineering/analyst in a manufacturing/industrial IT/OT environment
• Strong understanding of manufacturing systems and data flows, including areas such as MES, automation systems, OT, production lines, laboratory systems, and enterprise data platforms.
• Experience defining how data should be structured, understood, trusted, and governed across multiple systems
• Experience establishing and governing data contracts and schemas standards, including driving their adoption across different teams and systems to ensure interoperability.
• Strong stakeholder management and communication skills, with the ability to influence across business and technical communities.

What You'll Do

• Define and evolve the GMS Data Target Architecture, including principles, standards, architectural guardrails, and data contract/schema standards that enable consistent and interoperable manufacturing data across GMS, leveraging standards such as ISA-88 and ISA-95 where applicable.
• Develop an end-to-end view of manufacturing data flows from shop floor systems through enterprise platforms, analytics, and AI capabilities.
• Create reusable data architecture patterns, data products standards, and interoperability standards that support scalable digital and AI solutions.
• Drive simplification and standardisation by reducing duplication, improving reuse, and strengthening data governance across the manufacturing landscape.
• Provide architecture reviews, guidance, and coaching to ensure solution designs align with target architectures, standards, and long-term business needs

Who You'll Work With

You will join the Manufacturing Architecture organisation within Global Manufacturing & Supply. The team provides architecture leadership across a highly complex manufacturing environment and supports the development of scalable digital, data, and AI capabilities.

You will collaborate closely with Domain Architects, Lead Solution Architects, Solution Architects, product teams, business data owners, process experts, and architecture communities across GMS. You will also work with Enterprise IT and Enterprise AI teams to ensure manufacturing requirements are reflected in enterprise-wide capabilities and roadmaps.

What You Can Expect Here

This is an opportunity to influence how manufacturing data is managed and utilised across a global organisation. You will play a key role in enabling future digital and AI solutions while helping create a more connected, standardised, and trusted manufacturing data landscape.

You can expect to work with experienced architecture professionals, collaborate across organisational boundaries, and contribute to strategic initiatives with broad business impact. The role offers significant opportunities for learning, professional growth, and the ability to shape the future direction of manufacturing data architecture.

What We Offer

Salary: For this role, the Annual Base Salary ranges from 742,600 to 1,091,600 DKK (DK), corresponding to the level of the position (JL8).

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.

Learn more about our Reward Philosophy here: https://www.novonordisk.com/careers/working-at-novo-nordisk/total-rewards-benefits.html.

For further information, please contact Serena Invitto, Associate Director, at [e-mail].