Technical Business Analyst – AI & Digital Manufacturing

We are looking for an experienced Technical Business Analyst for a consulting assignment in the Greater Copenhagen Area. The role focuses on developing and maturing digital products within manufacturing, maintenance and production, with a strong initial focus on an AI-based solution for identifying anomalies in production environments.

This is a cross-functional role combining technical business analysis, product development, data analysis and user experience. You will work closely with users from the production environment as well as data scientists, developers, architects and infrastructure specialists.

Responsibilities

Your main focus will be an AI and computer vision initiative using CCTV footage to support deviation investigations and root-cause analysis.

You will:

• Define relevant use cases and user journeys.

• Understand and map current workflows for deviation investigations.

• Identify user pain points and opportunities for improvement.

• Define how users should interact with anomalies, alerts, images, video footage and investigation results.

• Translate business and user needs into clear technical and functional requirements.

• Support technical discussions around cameras, video management systems, AI/ML models, data flows and infrastructure.

• Help evaluate edge, on-premises and cloud-based processing options.

• Define data requirements, structures, flows and ownership.

• Assess data quality and identify gaps and improvement opportunities.

• Support collection, preparation, labelling and validation of data used for AI models.

• Establish metrics for product performance, data quality, model performance and user adoption.

• Define requirements regarding security, privacy, auditability, role-based access and scalability.

• Support compliance considerations, including GxP and the EU AI Act.

• Help define the product vision, MVP scope, priorities and roadmap.

• Support the development of the solution from a technical demonstrator into a scalable and usable product.

As a secondary focus, you will also support another digital product aimed at knowledge sharing and collaboration for technicians and skilled workers. This includes improving user journeys, understanding technical user needs and translating operational challenges into product requirements.

Requirements

We believe you have experience from roles such as Technical Business Analyst, Technical Product Manager, Product Owner, Data Product Manager, Technical UX Designer, Service Designer or Digital Transformation Consultant.

You should have:

• Experience working with complex digital or enterprise products.

• Strong experience in business analysis and translating operational needs into technical requirements.

• Experience with user research, user journeys and workshop facilitation.

• Practical experience with data analysis, data quality and data-driven decision-making.

• Good understanding of data pipelines, APIs, integrations and system architecture.

• Experience working in agile product or development teams.

• Ability to communicate effectively with both operational users and technical specialists.

• A structured, pragmatic and analytical way of working.

• Ability to create clarity and direction in complex and evolving environments.

Nice to Have

It is advantageous if you have experience with:

• AI, machine learning, computer vision or other data products.

• CCTV or video-based technical solutions.

• Manufacturing, maintenance, engineering or production environments.

• Regulated environments.

• GxP requirements.

• EU AI Act or similar regulatory requirements.

• Edge, on-premises and cloud-based architectures.

• Product management, MVP definition and roadmap development.

Other Information

• Location: Greater Copenhagen Area, Denmark

• Work location: Høje Taastrup

• Workload: 40 hours per week

• Start date: 27 September 2026

• End date: 26 March 2027

• Travel: No travel required

• Assignment type: Consulting assignment

Application

Please apply with your updated CV and a short motivation describing your relevant experience.

Applications will be reviewed continuously, so we recommend applying as soon as possible.