Tech Lead

Novo Nordisk A/S; Ballerup; Remote; DKK 743,000 - 1,092,000; Full time

Job summary

Novo Nordisk A/S in Denmark seeks a Tech Lead to shape the architecture behind AI and data across Novo Quality processes. You will translate business priorities into a technical roadmap, guide the move to Databricks, and ensure AI applications run on trusted data in a regulated GxP environment.

You will work with engineers to lead delivery of production AI/data systems, define engineering standards for testing, deployment, observability and traceability, and drive clear trade-offs and priorities

Qualifications

• A relevant university degree in a related field is required or equivalent experience.
• Experience leading delivery of production AI/data systems.
• Strong software engineering skills across data processing, APIs and integrations.

Responsibilities

• Define and evolve the architecture across data platforms and AI applications.
• Translate business priorities into a technical roadmap with stakeholders.
• Support the move to Databricks and ensure quality data for downstream use.
• Identify reusable capabilities and drive design decisions with the team.
• Contribute to testing, deployment, observability, and maintainability standards.

Skills

Databricks experience

Cloud platforms (AWS/Azure)

Technical leadership

Software engineering

Data architecture

LLMs & AI tooling

Education

University degree in a relevant field

Tools

Databricks

AWS

Azure

Job description

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Department: Quality AI & Data Enterprise IT & Quality

Your impact begins here

As Tech Lead, you will shape the architecture behind AI and data across Novo Quality processes. You will turn business priorities into a technical roadmap, guide the move to Databricks and make sure AI applications are built on trusted, high-quality data. Staying close to the implementation, you will help engineers build systems that work in real life and stand up in a regulated GxP environment. Your impact will be felt in stronger quality processes and faster progress.

What you’ll bring

A relevant university degree, and the hands‑on technical depth to lead delivery of AI and data systems.

• Experience with Databricks and AWS or Azure.
• Experience leading the technical delivery of production systems, while staying close enough to the implementation to see where designs succeed or fail.
• Strong software engineering skills and experience designing systems across data processing, APIs, integrations and applications.
• Practical understanding of data engineering, including data modelling, pipelines, data quality and the consequences of upstream changes for downstream users.
• Hands‑on experience building with LLMs, and the ability to assess agent architectures, retrieval approaches, tool integrations and evaluation strategies.
• The ability to make decisions across the stack, drawing on specialists where needed while keeping a clear view of the complete system.
• The ability to turn competing requirements into clear technical priorities and explain trade‑offs to engineers, product leads and business stakeholders.
• Excellent oral and written communication, and the independence to take ownership, challenge proposals constructively and help others make progress when requirements are unclear.

Useful, but not essential:

Experience with platform migrations and with regulated software.

What you’ll do

You will set the technical direction for how data platforms, pipelines, integrations and AI applications fit together, and help the teams around you deliver it.

• Define and evolve the architecture across data platforms, pipelines, integrations and AI applications, making clear decisions about how the components fit together.
• Work with the AI and data team to translate business priorities into a technical roadmap.
• Support the move to Databricks, including decisions on data modelling, processing, access and how downstream applications consume quality data.
• Identify shared needs across initiatives and decide where reusable capabilities justify investment and where a simpler, local approach is enough.
• Help engineers make sound design choices through technical discussions, architecture and code reviews, contributing directly to implementation and troubleshooting where needed.
• Build practical engineering standards for testing, deployment, observability and maintainability, and make sure AI evaluations and data quality checks come with the traceability and evidence that GxP software requires.

Who you’ll work with

You will join Quality AI & Data, where colleagues work across the Novo value chain, stay close to stakeholders and help deliver trusted technology, high quality and responsible ways of working.

Your scope is global across Novo Quality processes. You will manage relationships with end users, engineers, product leads, IT and platform owners, and senior management across functions, units and geographies. You will resolve technical dependencies, reconcile competing needs and secure agreement on priorities, trade‑offs and next steps, so work keeps moving with clarity. You will also develop engineers through feedback, shared problem‑solving and clear explanations of your technical decisions. The position is based in Ballerup, Denmark.

What you can expect here

You will have the independence to act within your scope, and the trust to take ownership and make your voice heard. You will work on complex problems at the forefront of AI and data technology, grow alongside colleagues through technical challenge and shared problem‑solving, and help improve how the department works, simplifying ways of working and the user experience. Clear performance expectations will help you deliver your best work and be recognised for it.

For this role, the Annual Base Salary ranges from 742,600.00 to 1,091,600.00 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.

Learn more about our Reward Philosophy here .

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