AI Governance & Enablement Lead

Gubra is looking for an AI Governance & Enablement Lead to build and drive our enterprise approach to AI adoption across Biotech, CRO, Group Functions and DDIT.

AI will be treated as a horizontal enterprise capability, with enablement as the primary objective and governance as the guardrail. This role will own Gubra’s enterprise AI agenda across opportunity shaping, adoption, standards and scale, while Product and Engineering teams remain accountable for solution delivery.

We believe the value of AI will come not from individual tools or models alone, but from how we combine AI with Gubra’s scientific expertise, data, processes and digital capabilities to improve how we discover, develop, and operate.

Given Gubra’s size, this is not about building a separate AI organisation. It is about creating focus, connecting the right capabilities, and helping Gubra move from fragmented experimentation toward disciplined, scalable, and measurable business value.

Your Responsibilities

• Define and drive Gubra’s enterprise AI governance and enablement strategy, framework and roadmap.
• Establish the operating model for AI across Gubra, including roles, decision rights, risk assessment, approvals, human oversight, and lifecycle governance.
• Partner with Biotech, CRO, Group Functions and DDIT to identify, qualify and prioritize high-value AI opportunities.
• Establish a clear pathway from AI exploration and experimentation to governed enterprise adoption.
• Define practical guardrails for Generative AI, assistants, agents, machine learning and emerging AI capabilities.
• Develop approaches for AI evaluation, testing, monitoring, traceability, and appropriate human oversight.
• Maintain visibility of Gubra’s AI landscape, including tools, providers, models, use cases, users, costs, dependencies, and areas of risk.
• Define governance expectations for citizen-developed, low-code and AI-enabled solutions, including when solutions should transition into professionally engineered enterprise products.
• Partner with Software & ML Engineering, Data Platform and Enterprise Architecture to ensure AI initiatives can connect appropriately with Gubra’s data, applications, knowledge, and technology platforms.
• Work with Legal, Quality, and Security to embed regulatory, privacy, security, and responsible AI requirements into practical ways of working.
• Drive AI literacy in general and compliance e.g. EU AI Act, responsible adoption across different user groups, from scientists and business users to developers and leaders.
• Help Product Managers and business teams define measurable outcomes for AI initiatives, including productivity, quality, scientific impact, decision support, or operational improvement.
• Continuously assess emerging AI capabilities and determine where they may create meaningful value for Gubra.

What You Bring

You combine a strong understanding of AI with practical business judgement and the ability to operate across science, business, governance, and technology.

You are comfortable working in an environment where AI capabilities are evolving rapidly, and where organisations need to learn quickly while maintaining appropriate control.

You start with the business or scientific problem and the value to be created, not with the technology.

Required Experience

• Relevant experience across digital transformation, data & AI, product, innovation, technology strategy or enterprise change, and demonstrated recent exposure to AI adoption in an organisational setting.
• Practical understanding of Generative AI, large language models, assistants, agents and machine learning, and how these capabilities can create business or scientific value.
• Experience shaping opportunities with business and technology stakeholders and moving ideas from experimentation toward scalable adoption.
• Strong ability to translate emerging technologies into business implications, decisions and practical ways of working.
• Experience working across multiple functions and stakeholder groups, including senior leaders, technical teams and subject-matter experts.
• Strong change, adoption and communication skills, with the ability to build capability through others.
• Ability to balance innovation, speed, risk and governance pragmatically.

Preferred Experience

• Experience with AI governance, responsible AI, evaluation, monitoring or lifecycle management.
• Experience from biotech, pharma, life sciences or another research-intensive environment.
• Familiarity with modern cloud, software and data environments.
• Exposure to major AI ecosystems and providers such as OpenAI, Anthropic, Microsoft or comparable technologies.
• Experience in regulated, privacy-sensitive or IP-sensitive environments.
• Experience with AI vendor assessment, enterprise AI education, communities of practice, benchmarking or external partnerships.

Contact and application

Please apply no later than October 18, 2026, by uploading your motivated cover letter and resume on our website.

If you have questions regarding practical matters, you are welcome to contact HR. Questions regarding role-specific details will be addressed during the interview.

We are looking forward to receiving your application.

About Gubra

Gubra is a disease-agnostic techbio company specialized in peptide-based drug discovery and development as well as preclinical contract research services striving for excellence at all levels. We insist on doing things efficiently – and often differently - to reach the results we aim for. Our vision is to become leaders in the path towards a more sustainable and healthier world. We do that by facilitating the discovery of new medicine, and by acting and inspiring others to fight the ongoing climate and biodiversity crises.

Gubra’s activities are focused on the early stages of drug development and are organised in two main highly synergistic business areas: Biotech and CRO Services. We generate our revenue by performing research for life science companies as well as by partnering projects from our discovery and development pipeline.

Our therapeutic focus is within metabolic and fibrotic diseases, and we specialize in in vivo pharmacology, ex vivo assays, drug profiling, histology, stereology and whole brain and organ imaging. In addition, we offer a full palette of advanced transcriptomics. Our ML/AI-driven peptide drug discovery platform streaMLine enables us to rapidly develop a peptide hit into a non-clinical candidate ready for development. Through a constant focus on high quality, scientific excellence, speed, and solid teamwork we have established ourselves as a highly professional and competent partner in the market.

People are our greatest asset, and our team consists of around 300 employees of which many are located in Hørsholm, Denmark. The mix of people from different cultures and educational backgrounds combined with our entrepreneurial mindset have greatly impacted our working environment, which is characterized by entrepreneurial drive, scientific curiosity, and teamwork – we join forces!